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class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Filippo Geuna</h3></div><div class="js-work-strip profile--work_container" data-work-id="5135211"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5135211/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening"><img alt="Research paper thumbnail of Comparative transcript profiling of apricot ( Prunus armeniaca L.) fruit development and on-tree ripening" class="work-thumbnail" src="https://attachments.academia-assets.com/49436086/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5135211/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening">Comparative transcript profiling of apricot ( Prunus armeniaca L.) fruit development and on-tree ripening</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://unipd.academia.edu/claudiobonghi">claudio bonghi</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PTonutti">P. Tonutti</a></span></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Considering the high degree of sequence conservation within the Rosaceae family and, in particula...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Considering the high degree of sequence conservation within the Rosaceae family and, in particular, among the Prunus species, we employed the first available peach oligonucleotide microarray (μPEACH 1.0) for studying the transcriptomic profile during apricot (cv. ‘Goldrich’) fruit development. Apricot fruits were harvested at three distinct developmental stages, corresponding to immature green (6 weeks before fully ripe stage), mature firm ripe (change of peel colour, 1 week before fully ripe stage) and fully ripe, namely T1, T2 and T3, respectively. When applied to μPEACH1.0, apricot target cDNAs showed significant hybridization with an average of 43% of spotted probes, validating the use of μPEACH1.0 to profile the transcriptome of apricot fruit. Microarray analyses carried out separately on peach (cv. ‘Fantasia’) and apricot fruit to profile transcriptome changes during fruit development showed that 70% of genes had the same expression pattern in both species. Such data indicate that the transcriptome is quite similar in apricot and peach fruit and also highlight the presence of species-specific transcript changes. In apricot, 400 and 74 differentially expressed genes were found during the transition from T1 to T2 and from T2 to T3, respectively. Among these, a considerable number of genes encoding IAA protein in action regulators (Aux/IAA) and heat shock proteins (HSPs) were highly up-regulated at early and late ripening, respectively. Intriguingly, the expression profiles of all considered HSPs and some of IAA protein /IAA genes showed different patterns between apricot and peach during the last stages of on-tree fruit development, suggesting the presence of diverse mechanism regulating ripening in these two close phylogenetically related species.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e865c41030401ff4141d73234c6be1b1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49436086,"asset_id":5135211,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49436086/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5135211"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5135211"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5135211; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523918"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523918/Assessing_the_drought_tolerance_of_Brachypodium_ssp_genotypes_by_agronomic_and_physiologic_indicators"><img alt="Research paper thumbnail of Assessing the drought tolerance of Brachypodium ssp. genotypes by agronomic and physiologic indicators" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523918/Assessing_the_drought_tolerance_of_Brachypodium_ssp_genotypes_by_agronomic_and_physiologic_indicators">Assessing the drought tolerance of Brachypodium ssp. genotypes by agronomic and physiologic indicators</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abiotic stresses including drought (both in terms of quantity and intensity) are serious threats ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abiotic stresses including drought (both in terms of quantity and intensity) are serious threats to the sustainability of crop yields accounting for more crop productivity losses than any other factor in rainfed agriculture. Plant responses to water deficit can be analysed by systematically identifying traits that relate to drought tolerance followed by analysis to the cellular, biochemical and molecular levels. Brachypodium ssp, collected from Northern and central Tunisia, was considered as a potential genetic resource of drought resistance for poaceae and forage species. A group of 180 lines of the Tunisian Brachypodium ssp. representative of 9 populations were tested under three watering regimes: watering after two days, watering after four days and watering after six days. Twelve agronomic and physiologic traits were evaluated for their responses to drought stress on the basis of drought response index (DRI). Results show a considerable variation between genotypes and that the m...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523918"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523918"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523918; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523918]").text(description); $(".js-view-count[data-work-id=18523918]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523918; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523918']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523918]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523918,"title":"Assessing the drought tolerance of Brachypodium ssp. genotypes by agronomic and physiologic indicators","internal_url":"https://www.academia.edu/18523918/Assessing_the_drought_tolerance_of_Brachypodium_ssp_genotypes_by_agronomic_and_physiologic_indicators","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523916"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523916/Morpho_phenological_vs_Molecular_Genetic_variation_in_Tunisian_Brachypodium_spp"><img alt="Research paper thumbnail of Morpho-phenological vs Molecular Genetic variation in Tunisian Brachypodium spp" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523916/Morpho_phenological_vs_Molecular_Genetic_variation_in_Tunisian_Brachypodium_spp">Morpho-phenological vs Molecular Genetic variation in Tunisian Brachypodium spp</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Brachypodium distachyon belongs to the Poaceae grass subfamily. It has a close genetic relationsh...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Brachypodium distachyon belongs to the Poaceae grass subfamily. It has a close genetic relationship with temperate cereal crops which makes it a model for temperate cereals and grass crop. In order to bring a better knowledge on the genetic diversity of this species, 180 lines of B. distachyon representative of 9 populations and 6 eco-regions of Tunisia were characterized on the basis of 18 morpho-phenologic features and 15 microsatellites. Morphological analysis showed a considerable variation between populations and eco-regions in all studied traits. Variation was relatively higher for reproductive traits (53.2 %) than for vegetative ones (32.8 %). Differentiation between populations (Qst) varied from 0.033 for average length of spikes to 0.56 for heading date with an average of 0.27 which confirm the wide intra-population variation in Tunisian natural populations of B. distachyon. At the DNA level, we show that variation patterns was strongly higher within populations than among ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523916"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523916"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523916; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523916]").text(description); $(".js-view-count[data-work-id=18523916]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523916; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523916']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523916]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523916,"title":"Morpho-phenological vs Molecular Genetic variation in Tunisian Brachypodium spp","internal_url":"https://www.academia.edu/18523916/Morpho_phenological_vs_Molecular_Genetic_variation_in_Tunisian_Brachypodium_spp","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523913"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523913/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps"><img alt="Research paper thumbnail of Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps" class="work-thumbnail" src="https://attachments.academia-assets.com/42163245/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523913/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps">Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps</a></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight L...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight LGs of apricot with those of the &#x27;TxE&#x27; reference map ... A cross between the apricot genotypes &#x27;Lito&#x27; and &#x27;BO81604311&#x27;, the latter being the pollen parent, was adopted as mapping population. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3693f33f2a9570e73ba8d085ee4656ea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163245,"asset_id":18523913,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163245/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523913"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523913"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523913; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523913]").text(description); $(".js-view-count[data-work-id=18523913]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523913; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523913']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3693f33f2a9570e73ba8d085ee4656ea" } } $('.js-work-strip[data-work-id=18523913]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523913,"title":"Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps","internal_url":"https://www.academia.edu/18523913/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[{"id":42163245,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42163245/thumbnails/1.jpg","file_name":"s11295-006-0059-8.pdf20160205-26230-1drlm1o","download_url":"https://www.academia.edu/attachments/42163245/download_file","bulk_download_file_name":"Development_of_a_new_SSR_based_linkage_m.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42163245/s11295-006-0059-8-libre.pdf20160205-26230-1drlm1o?1454708440=\u0026response-content-disposition=attachment%3B+filename%3DDevelopment_of_a_new_SSR_based_linkage_m.pdf\u0026Expires=1739831381\u0026Signature=FXM5sLBTISFnCBb4MRXfUaqRPh8PHucXenCkxq~b~UY0p68NGDpy9KO6uMY1~1RnQZ-V0f5H3b5U3kIYzx18si-el2A3lqMcIzjYXwpDbo-~XJHU4JC77rbEZOEOHSIMYrDCr9vp3ZzqMNvfrnzUk7cMEEEbifxlfwReQYJ1uh5Rp2O0nHxQMSsw4fuLEi6c5OODqhzRmLpq8a-9loRbzS25GeDkPEH~oBOHa6INkbiGFyT66GJjK3Q69D6QiLXWd5uSjZMXQvwQqQcgyl1OUeT72IFeoQWCpAamQtucQUNiUaRRB9Z84kboDSzO8-w8v8HsK4280SSxCVKHV3FtCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523911"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523911/Identification_and_characterization_of_transcripts_differentially_expressed_during_development_of_apricot_Prunus_armeniaca_L_fruit"><img alt="Research paper thumbnail of Identification and characterization of transcripts differentially expressed during development of apricot (Prunus armeniaca L.) fruit" class="work-thumbnail" src="https://attachments.academia-assets.com/42163240/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523911/Identification_and_characterization_of_transcripts_differentially_expressed_during_development_of_apricot_Prunus_armeniaca_L_fruit">Identification and characterization of transcripts differentially expressed during development of apricot (Prunus armeniaca L.) fruit</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The application of the complementary DNA (cDNA)-amplified fragment length polymorphism (AFLP) tec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The application of the complementary DNA (cDNA)-amplified fragment length polymorphism (AFLP) technique to clone transcripts differentially expressed during fruit development and ripening is reported. Using 34 different primer combinations, 265 cDNA-AFLP bands were found differentially expressed in six fruit developmental stages, with leaf and developing seed as controls. One hundred twenty-five bands were cloned and sequenced and database search allowed to identify genes involved in cell wall, sugar, lipid, organic acids, and protein metabolism, as well as genes participating in hormonal signaling and in signal transduction (51 sequences, 41% of total). Genomic and expression analyses for a group of genes as well as phylogenetic investigations were carried out. cDNA-AFLP profiles have been also compared to the corresponding Northern hybridization data. Several genes are described for the first time in apricot or in other Prunus species. They establish the basis for further investigation of the ripening process in stone fruits.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0a83ed66f25e8a31a58b022f40f8c739" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163240,"asset_id":18523911,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163240/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523911"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523911"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523911; 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523907]").text(description); $(".js-view-count[data-work-id=18523907]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523907; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523907']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523907]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523907,"title":"Shotgun proteomics and DNA analysis of waterlogged medieval grape seeds","internal_url":"https://www.academia.edu/18523907/Shotgun_proteomics_and_DNA_analysis_of_waterlogged_medieval_grape_seeds","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523905"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523905/Morpho_phenological_diversity_among_Tunisian_natural_populations_of_Brachypodium_hybridum"><img alt="Research paper thumbnail of Morpho-phenological diversity among Tunisian natural populations of Brachypodium hybridum" class="work-thumbnail" src="https://attachments.academia-assets.com/40111015/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523905/Morpho_phenological_diversity_among_Tunisian_natural_populations_of_Brachypodium_hybridum">Morpho-phenological diversity among Tunisian natural populations of Brachypodium hybridum</a></div><div class="wp-workCard_item"><span>The Journal of Agricultural Science</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Brachypodium hybridum belongs to the Poaceae grass subfamily. It has a close genetic relationship...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Brachypodium hybridum belongs to the Poaceae grass subfamily. It has a close genetic relationship with temperate cereal crops, which means that it can be used as a model for temperate cereal and grass crops. In order to improve knowledge on the genetic diversity of this species, 145 lines of B. hybridum representative of nine populations and all the ecoregions of Tunisia were characterized on the basis of 18 morpho-phenologic features. The results show a considerable variation between populations and ecoregions in all traits studied. Variation was relatively higher for reproductive than vegetative traits. The majority of traits showed very low to high heritability with low border value for average length of spikelet (ALS) and an average value of 0·64. It is noticeable that high values of heritability were observed for most vegetative descriptors, with low values for reproductive ones. Differentiation between populations (Q ST ) varied from 0·02 for ALS to 0·78 for average length of leaves with a mean value across traits of 0·4, which confirms the wide intra-population variation in Tunisian natural population of B. hybridum. Pairwise Q ST showed that the greatest differentiation among populations was registered between Ain Drahem and Jbel Zaghouan and the smallest between Haouria and Raoued. Overall, the Ain Draham population showed the largest differentiation from the rest of the populations. To infer the effect of geographic distribution of the species, a Mantel test was applied between observed pairwise differentiation and geographic distance between populations and between ecoregions: the results show a positive, but not significant, relationship. In addition a significant negative relationship was found between phenotypic diversity and altitude, indicating that genetic diversity decreased with increasing altitude. Taken together, the high levels of intrapopulation variation and the lack of correlation between genetic differentiation and geographic distribution suggest a potentially important rate of long-distance seed dispersal and confirm the role played by natural selection in the population structure of Tunisian natural populations of B. hybridum.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a05dae0e07c4d71933bb7648396b3ab5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111015,"asset_id":18523905,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111015/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523905"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523905"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523905; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523903/SSR_Marker_Based_DNA_Fingerprinting_of_Tunisian_Olive_Olea_europaeaL_Varieties"><img alt="Research paper thumbnail of SSR Marker Based DNA Fingerprinting of Tunisian Olive (Olea europaeaL.) Varieties" class="work-thumbnail" src="https://attachments.academia-assets.com/40111059/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523903/SSR_Marker_Based_DNA_Fingerprinting_of_Tunisian_Olive_Olea_europaeaL_Varieties">SSR Marker Based DNA Fingerprinting of Tunisian Olive (Olea europaeaL.) Varieties</a></div><div class="wp-workCard_item"><span>Journal of Agronomy</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2bc8016986fd1f8140dd157ee58b0232" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111059,"asset_id":18523903,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111059/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523903]").text(description); $(".js-view-count[data-work-id=18523903]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523903; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523903']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2bc8016986fd1f8140dd157ee58b0232" } } $('.js-work-strip[data-work-id=18523903]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523903,"title":"SSR Marker Based DNA Fingerprinting of Tunisian Olive (Olea europaeaL.) 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This family comprises a set of regulatory genes, consisting of a cluster of several elements at the R locus, on chromosome 10, the Lc and Sn gene lying about two units Rdistal and 8 o n chromosome 2. Each gene determines a tissue-specific pigmentation of different parts of the seed and plant. The proposed duplicated function of R, Sn, Lc and B loci is reflected in cDNA sequence similarity. In this paper an extensive analysis of the predicted proteins of the R, Sn, Lc and B genes together with a search for putative sites of post-translational modification is reported. A comparison with the PROSITE database discloses several Nglycosylation and phosphorylation sites, as well as the basic Helix-Loop-Helix (HLH) domain of transcriptional activators. Sn, Lc, and R S show a high conservation of these sites, while B is more divergent. Analysis of the 5' leader of mRNA sequences discloses the presence of five ATG triplets with two upstream open reading frames (uORFs) of 38 and 15 amino acids and a loop structure indicating a possible mechanism of control at the translational level. It is conceivable that possible mechanisms acting at the translational and post-translational level could modulate the expression and the activation of these transcription factors.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a3f87c0cca598e57324432acddf8c9a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111020,"asset_id":18523901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111020/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523901; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523899"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523899/A_New_Method_for_Rapid_Extraction_of_High_Quality_RNA_from_Recalcitrant_Tissues_of_Grapevine"><img alt="Research paper thumbnail of A New Method for Rapid Extraction of High Quality RNA from Recalcitrant Tissues of Grapevine" class="work-thumbnail" src="https://attachments.academia-assets.com/42163313/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523899/A_New_Method_for_Rapid_Extraction_of_High_Quality_RNA_from_Recalcitrant_Tissues_of_Grapevine">A New Method for Rapid Extraction of High Quality RNA from Recalcitrant Tissues of Grapevine</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/attilioscienza">attilio scienza</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A quick, inexpensive, and reliable protocol for the extraction of RNA from grapevine berry skins ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A quick, inexpensive, and reliable protocol for the extraction of RNA from grapevine berry skins containing large quantities of polyphenols, procyanidins, and polysaccharides is described. The method involves an extraction step in the presence of ribonuclease inhibitors and compounds that compete with vacuolar contaminants for binding to RNA. After extraction with organic solvents, RNA is bound to a fibrous cellulose matrix and processed to eliminate the remaining contaminants and ribonucleases. Following this method, highly stable RNA, sufficiently pure for northern hybridizations and enzymatic processing, may be obtained from as little as 200 mg of starting amounts of fresh material and without multiple, time consuming precipitations or ultracentrifugation steps. This procedure may also prove useful for extracting RNA from recalcitrant tissues of other plant species. Abbreviations: ATA, aurintricarboxylic acid; CF11, cellulose fibrous medium (type 11); PVPP, polyvinylpolypyrrolido...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="44ee3dbe4debe25b25452318451feb18" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163313,"asset_id":18523899,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163313/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523899"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523899"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523899; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523897"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523897/Selecting_with_markers_linked_to_the_PPVres_major_QTL_is_not_sufficient_to_predict_resistance_to_Plum_Pox_Virus_PPV_in_apricot"><img alt="Research paper thumbnail of Selecting with markers linked to the PPVres major QTL is not sufficient to predict resistance to Plum Pox Virus (PPV) in apricot" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523897/Selecting_with_markers_linked_to_the_PPVres_major_QTL_is_not_sufficient_to_predict_resistance_to_Plum_Pox_Virus_PPV_in_apricot">Selecting with markers linked to the PPVres major QTL is not sufficient to predict resistance to Plum Pox Virus (PPV) in apricot</a></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Sharka is one of the most serious viral diseases affecting stone fruit species and, in a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Sharka is one of the most serious viral diseases affecting stone fruit species and, in apricot, resistance to its viral agent, the Plum Pox Virus (PPV), is conferred by one major quantitative trait locus (QTL), named PPVres for PPV resistance. Previous studies indicated that PPV-resistant cultivars and breeding progenies can be selected by using a set of SSR markers (named PGS) targeting the PPVres locus. However, before these markers can be employed for markerassisted selection, they were validated in a wide range of genetic backgrounds and environments. We used a total of 11 mapping populations issued from three distinct environments to confirm that this marker set located within the QTL adequately predicted PPV resistance. In this study, we show that selection of PPV-resistant material based only on markers co-localizing with the PPVres major locus is not fully reliable. Indeed, genotype-phenotype discrepancies were observed depending on the progeny and the PPV-resistant/susceptible parents.While most of the PPV-resistant individuals displayed the resistant alleles, a significant number of PPV-susceptible individuals showed the same resistant haplotype. An effect of the PPV strain used for phenotyping was also demonstrated. We thus hypothesize that the presence of other factors or genes involved in the mechanism of resistance to sharka in apricot could explain these unexpected results. Our work indicates that the current PGS marker set is not broadly applicable for MAS and that marker-assisted breeding based on the sole PPVres locus is not sufficient to unambiguously select PPVresistant apricot cultivars.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523897"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523897"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523897; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="18523895"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523895/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening"><img alt="Research paper thumbnail of Comparative transcript profiling of apricot (Prunus armeniaca L.) fruit development and on-tree ripening" class="work-thumbnail" src="https://attachments.academia-assets.com/40111152/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523895/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening">Comparative transcript profiling of apricot (Prunus armeniaca L.) fruit development and on-tree ripening</a></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Considering the high degree of sequence conservation within the Rosaceae family and, in particula...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Considering the high degree of sequence conservation within the Rosaceae family and, in particular, among the Prunus species, we employed the first available peach oligonucleotide microarray (μPEACH 1.0) for studying the transcriptomic profile during apricot (cv. 'Goldrich') fruit development. Apricot fruits were harvested at three distinct developmental stages, corresponding to immature green (6 weeks before fully ripe stage), mature firm ripe (change of peel colour, 1 week before fully ripe stage) and fully ripe, namely T1, T2 and T3, respectively. When applied to μPEACH1.0, apricot target cDNAs showed significant hybridization with an average of 43% of spotted probes, validating the use of μPEACH1.0 to profile the transcriptome of apricot fruit. Microarray analyses carried out separately on peach (cv. 'Fantasia') and apricot fruit to profile transcriptome changes during fruit development showed that 70% of genes had the same expression pattern in both species. Such data indicate that the transcriptome is quite similar in apricot and peach fruit and also highlight the presence of species-specific transcript changes. In apricot, 400 and 74 differentially expressed genes were found during the transition from T1 to T2 and from T2 to T3, respectively. Among these, a considerable number of genes encoding IAA protein in action regulators (Aux/IAA) and heat shock proteins (HSPs) were highly up-regulated at early and late ripening, respectively. Intriguingly, the expression profiles of all considered HSPs and some of IAA protein /IAA genes showed different patterns between apricot and peach during the last stages of on-tree fruit development, suggesting the presence of diverse mechanism regulating ripening in these two close phylogenetically related species.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b094e5f596ae04d421295ccb1f8dcb9e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111152,"asset_id":18523895,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111152/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523895"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523895"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523895; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523893"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523893/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps"><img alt="Research paper thumbnail of Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps" class="work-thumbnail" src="https://attachments.academia-assets.com/42163250/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523893/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps">Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps</a></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight L...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight LGs of apricot with those of the &#x27;TxE&#x27; reference map ... A cross between the apricot genotypes &#x27;Lito&#x27; and &#x27;BO81604311&#x27;, the latter being the pollen parent, was adopted as mapping population. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8f4ef50477d208d499db29299c61de21" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163250,"asset_id":18523893,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163250/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523893"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523893"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523893; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523891"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523891/Discrimination_between_cultivars_of_Vitis_vinifera_based_on_molecular_variability_concerning_5_and_x02033_untranslated_regions_of_the_StSy_CHS_genes"><img alt="Research paper thumbnail of Discrimination between cultivars of Vitis vinifera based on molecular variability concerning 5&#x02033; untranslated regions of the StSy-CHS genes" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523891/Discrimination_between_cultivars_of_Vitis_vinifera_based_on_molecular_variability_concerning_5_and_x02033_untranslated_regions_of_the_StSy_CHS_genes">Discrimination between cultivars of Vitis vinifera based on molecular variability concerning 5&#x02033; untranslated regions of the StSy-CHS genes</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/attilioscienza">attilio scienza</a></span></div><div class="wp-workCard_item"><span>TAG Theoretical and Applied Genetics</span><span>, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The degree of polymorphism present in 5′ untranslated regions of stilbene synthase (StSy)-like lo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The degree of polymorphism present in 5′ untranslated regions of stilbene synthase (StSy)-like loci was assessed. A ligation-mediated polymerase chain reaction (LM-PCR) cloning strategy was adopted to isolate sequences located immediately upstream of StSy coding regions. Among several clones, 13 randomly chosen fragments were analyzed at the sequence level. Four of the analyzed fragments appeared of particular interest. Two carried</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523891"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523891"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523891; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523891]").text(description); $(".js-view-count[data-work-id=18523891]").attr('title', description).tooltip(); 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523889/A_method_for_extracting_genomic_DNA_suitable_for_medium_throughput_applications_from_plant_tissues_rich_in_contaminants"><img alt="Research paper thumbnail of A method for extracting genomic DNA suitable for medium-throughput applications from plant tissues rich in contaminants" class="work-thumbnail" src="https://attachments.academia-assets.com/40111008/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523889/A_method_for_extracting_genomic_DNA_suitable_for_medium_throughput_applications_from_plant_tissues_rich_in_contaminants">A method for extracting genomic DNA suitable for medium-throughput applications from plant tissues rich in contaminants</a></div><div class="wp-workCard_item"><span>Plant Molecular Biology Reporter</span><span>, 2004</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Isolating nucleic acids from sources rich in contaminants is particularly cumbersome when treatin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Isolating nucleic acids from sources rich in contaminants is particularly cumbersome when treating a large number of samples. Several protocols have been published that address the problem of nucleic acid extraction and purification, but few address sample number. We describe a method for extracting DNA from recalcitrant tree species by using a commercial grinding apparatus. This alleviates the hard work of sample preparation prior to lysis and purification. Our method has been tested extensively on different fruit tree species and in projects that require the simultaneous processing of hundreds of samples. Moreover, it does not require the availability of robotic workstations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="68357daf0e63ce4801c8953266422d0a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111008,"asset_id":18523889,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111008/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523889; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "68357daf0e63ce4801c8953266422d0a" } } $('.js-work-strip[data-work-id=18523889]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523889,"title":"A method for extracting genomic DNA suitable for medium-throughput applications from plant tissues rich in contaminants","internal_url":"https://www.academia.edu/18523889/A_method_for_extracting_genomic_DNA_suitable_for_medium_throughput_applications_from_plant_tissues_rich_in_contaminants","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[{"id":40111008,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/40111008/thumbnails/1.jpg","file_name":"bf02773354.pdf20151117-3125-1tjrux5","download_url":"https://www.academia.edu/attachments/40111008/download_file","bulk_download_file_name":"A_method_for_extracting_genomic_DNA_suit.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/40111008/bf02773354-libre.pdf20151117-3125-1tjrux5?1447793113=\u0026response-content-disposition=attachment%3B+filename%3DA_method_for_extracting_genomic_DNA_suit.pdf\u0026Expires=1739831381\u0026Signature=d1Z4K-BDAIRLYWuMOnGbS9nQIoqg8IzvfcYRLtf0kYBWwrI4WiFGrl1fBfxB5fXqR1AH0MJ1JsjGYYsyP0UDQVacUDs3MPI4Fi2-hGZH2H427VlMXuJK6DuJ63gPTz7j~HwcCSY1hjizBOrFM1rqVyrJrWM2nUYhE3QmiR7awH19UyxisdAaorbn6AZITWDuAQAPpBSnAb0ZTNcl2IPyKpwj1lQBQuLVlGW~R~0ht2P8AGFwTdLGbQrUALzpQiP-oUpwGOfu-eqg3F40Ls6-x1MqKMQhN0an4bSBNqd7pvxeuXOIgkXvMbhIJZ9-VkdZhgcAN8n7lh0SQUHCHPtB2g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523887"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523887/The_use_of_AFLP_markers_for_cultivar_identification_in_apricot"><img alt="Research paper thumbnail of The use of AFLP markers for cultivar identification in apricot" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523887/The_use_of_AFLP_markers_for_cultivar_identification_in_apricot">The use of AFLP markers for cultivar identification in apricot</a></div><div class="wp-workCard_item"><span>Plant Breeding</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... For DNA extraction and purification, the dry powder was mixed with glass beads, and suspended...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... For DNA extraction and purification, the dry powder was mixed with glass beads, and suspended in 1 ml of modified extraction buffer (Loulakakis ... This is the case of the group comprising accessions &amp;#x27;Pandora&amp;#x27;, &amp;#x27;Mai Huang&amp;#x27;, &amp;#x27;P. mandshurica 1&amp;#x27;, &amp;#x27;P. mandshurica 2&amp;#x27;, &amp;#x27;B. Quadra&amp;#x27; and ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523887"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523887"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523887; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523887]").text(description); $(".js-view-count[data-work-id=18523887]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523887; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523887']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523887]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523887,"title":"The use of AFLP markers for cultivar identification in apricot","internal_url":"https://www.academia.edu/18523887/The_use_of_AFLP_markers_for_cultivar_identification_in_apricot","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523885"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523885/Identification_of_QTL_for_resistance_to_plum_pox_virus_strains_M_and_D_in_Lito_and_Harcot_apricot_cultivars"><img alt="Research paper thumbnail of Identification of QTL for resistance to plum pox virus strains M and D in Lito and Harcot apricot cultivars" class="work-thumbnail" src="https://attachments.academia-assets.com/40111009/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523885/Identification_of_QTL_for_resistance_to_plum_pox_virus_strains_M_and_D_in_Lito_and_Harcot_apricot_cultivars">Identification of QTL for resistance to plum pox virus strains M and D in Lito and Harcot apricot cultivars</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DBoscia">D. Boscia</a></span></div><div class="wp-workCard_item"><span>Molecular Breeding</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Sharka is a severe apricot viral disease caused by the plum pox virus (PPV) and is responsible fo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Sharka is a severe apricot viral disease caused by the plum pox virus (PPV) and is responsible for large crop losses in many countries. Among the known PPV strains, both PPV-D (Dideron) and PPV-M (Marcus) are virulent in apricot, the latter being the most threatening. An F1 apricot progeny derived from Lito, described in the literature as resistant, crossed to the susceptible selection BO81604311 (San Castrese 9 Reale di Imola) was used to study the genetic control of resistance to PPV. A population of 118 individuals was phenotyped by inoculating both PPV-D and PPV-M strains in replicated seedlings and scored for 3 years. An additional set of 231 seedlings from the same cross was also phenotyped for 2 years. SSRbased linkage maps were used for quantitative trait locus (QTL) analysis. A major QTL of resistance to both PPV-M and PPV-D strains was found in the top half of the Lito linkage group 1, where a QTL was previously described in Stark Earli-Orange, the donor of Lito resistance. The LOD score was considerably enhanced when the recovery of plants from infection was taken into account. The results obtained in Lito were compared with those observed in a second apricot cross progeny (Harcot 9 Reale di Imola) in which QTL of resistance to sharka were also mapped in the same linkage group 1 for both PPV strains. Several models of resistance to sharka disease are discussed considering the segregation frequencies, the QTL alignment in the two maps and the information gathered from the literature.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f9f79e5489a85817769c2342c181a51f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111009,"asset_id":18523885,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111009/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523885"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523885"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523885; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523885]").text(description); $(".js-view-count[data-work-id=18523885]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523885; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523885']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f9f79e5489a85817769c2342c181a51f" } } $('.js-work-strip[data-work-id=18523885]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523885,"title":"Identification of QTL for resistance to plum pox virus strains M and D in Lito and Harcot apricot cultivars","internal_url":"https://www.academia.edu/18523885/Identification_of_QTL_for_resistance_to_plum_pox_virus_strains_M_and_D_in_Lito_and_Harcot_apricot_cultivars","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[{"id":40111009,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/40111009/thumbnails/1.jpg","file_name":"Identification_of_QTL_for_resistance_to_20151117-3120-2p5xfa.pdf","download_url":"https://www.academia.edu/attachments/40111009/download_file","bulk_download_file_name":"Identification_of_QTL_for_resistance_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/40111009/Identification_of_QTL_for_resistance_to_20151117-3120-2p5xfa-libre.pdf?1447793113=\u0026response-content-disposition=attachment%3B+filename%3DIdentification_of_QTL_for_resistance_to.pdf\u0026Expires=1739831381\u0026Signature=NnE8vXv7xNG7FsFjCnFm7tD37SsSEW172AAylCTXQL5JpARz90Juf45ZJMrtoI6o4-p5yckGz8EtCPBnOgGbFZXns53R5Fjp1--dJEF60AZENOrFpQ7cUoBsFqed95S8uIHd919nbPt1JM~RaEhLlTR0ZlrIkK51HgMUBKKnzfAo94OyDx7eEwvn4RuvpGV~PiUheOkh5Azr9pg2ZWAaHgNI5V4DPT6L803-6l-QdJn1tY2XcNkulXjOPBIQUo~7DBJtr~0On~RmdGWd~GkbjEIuN-j3JhUm3HPPb4N4yX9oLw6llVwFCrallTbDwK2W8H1J5T2GCs8RoGk8oxeFBg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523883"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523883/Evaluation_of_amplified_fragment_length_polymorphism_and_simple_sequence_repeats_for_tomato_germplasm_fingerprinting_utility_for_grouping_closely_related_traditional_cultivars"><img alt="Research paper thumbnail of Evaluation of amplified fragment length polymorphism and simple sequence repeats for tomato germplasm fingerprinting: utility for grouping closely related traditional cultivars" class="work-thumbnail" src="https://attachments.academia-assets.com/40111010/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523883/Evaluation_of_amplified_fragment_length_polymorphism_and_simple_sequence_repeats_for_tomato_germplasm_fingerprinting_utility_for_grouping_closely_related_traditional_cultivars">Evaluation of amplified fragment length polymorphism and simple sequence repeats for tomato germplasm fingerprinting: utility for grouping closely related traditional cultivars</a></div><div class="wp-workCard_item"><span>Genome</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cultivated tomato (Solanum lycopersicum L.) germplasm shows limited genetic variation. Many DNA m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cultivated tomato (Solanum lycopersicum L.) germplasm shows limited genetic variation. Many DNA marker systems have been used for genetic diversity studies in wild and cultivated tomatoes, but their usefulness for characterizing phenotypic differences among very closely related cultivars remains uncertain. We have used 19 selected simple sequence repeat (SSR) markers and 7 amplified fragment length polymorphism (AFLP) primer combinations to characterize 48 cultivars of tomato, mainly traditional cultivars from the south-east of Spain. The main types were Solanum lycopersicum L. 'Muchamiel', 'De la pera', and 'Moruno'. The robustness of the dendrograms and the discrimination power reached with each marker type were similar. Unique fingerprinting even of the most closely related tomato cultivars could be obtained using a combination of some SSR and AFLP markers. A better grouping of the 'Muchamiel' cultivars was observed with SSR markers, whereas the grouping of cultivars of 'De la pera' type was best achieved with AFLPs. However, both types of markers adequately grouped cultivars of the main types, confirming the utility of SSR and AFLP markers for the identification of traditional cultivars of tomato.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5ead75cac9ba0c0a4399da2db263cf28" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111010,"asset_id":18523883,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111010/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523883"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523883; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523878"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523878/Plant_DNA_Extraction_Based_on_Grinding_by_Reciprocal_Shaking_of_Dried_Tissue"><img alt="Research paper thumbnail of Plant DNA Extraction Based on Grinding by Reciprocal Shaking of Dried Tissue" class="work-thumbnail" src="https://attachments.academia-assets.com/40111004/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523878/Plant_DNA_Extraction_Based_on_Grinding_by_Reciprocal_Shaking_of_Dried_Tissue">Plant DNA Extraction Based on Grinding by Reciprocal Shaking of Dried Tissue</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/attilioscienza">attilio scienza</a></span></div><div class="wp-workCard_item"><span>Analytical Biochemistry</span><span>, 2000</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="24d7293d6e8e7b1b749b8be0d8a86f89" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111004,"asset_id":18523878,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111004/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523878"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523878"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523878; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="4057834" id="papers"><div class="js-work-strip profile--work_container" data-work-id="5135211"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5135211/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening"><img alt="Research paper thumbnail of Comparative transcript profiling of apricot ( Prunus armeniaca L.) fruit development and on-tree ripening" class="work-thumbnail" src="https://attachments.academia-assets.com/49436086/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5135211/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening">Comparative transcript profiling of apricot ( Prunus armeniaca L.) fruit development and on-tree ripening</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://unipd.academia.edu/claudiobonghi">claudio bonghi</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PTonutti">P. Tonutti</a></span></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Considering the high degree of sequence conservation within the Rosaceae family and, in particula...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Considering the high degree of sequence conservation within the Rosaceae family and, in particular, among the Prunus species, we employed the first available peach oligonucleotide microarray (μPEACH 1.0) for studying the transcriptomic profile during apricot (cv. ‘Goldrich’) fruit development. Apricot fruits were harvested at three distinct developmental stages, corresponding to immature green (6 weeks before fully ripe stage), mature firm ripe (change of peel colour, 1 week before fully ripe stage) and fully ripe, namely T1, T2 and T3, respectively. When applied to μPEACH1.0, apricot target cDNAs showed significant hybridization with an average of 43% of spotted probes, validating the use of μPEACH1.0 to profile the transcriptome of apricot fruit. Microarray analyses carried out separately on peach (cv. ‘Fantasia’) and apricot fruit to profile transcriptome changes during fruit development showed that 70% of genes had the same expression pattern in both species. Such data indicate that the transcriptome is quite similar in apricot and peach fruit and also highlight the presence of species-specific transcript changes. In apricot, 400 and 74 differentially expressed genes were found during the transition from T1 to T2 and from T2 to T3, respectively. Among these, a considerable number of genes encoding IAA protein in action regulators (Aux/IAA) and heat shock proteins (HSPs) were highly up-regulated at early and late ripening, respectively. Intriguingly, the expression profiles of all considered HSPs and some of IAA protein /IAA genes showed different patterns between apricot and peach during the last stages of on-tree fruit development, suggesting the presence of diverse mechanism regulating ripening in these two close phylogenetically related species.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e865c41030401ff4141d73234c6be1b1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49436086,"asset_id":5135211,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49436086/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5135211"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5135211"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5135211; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523918"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523918/Assessing_the_drought_tolerance_of_Brachypodium_ssp_genotypes_by_agronomic_and_physiologic_indicators"><img alt="Research paper thumbnail of Assessing the drought tolerance of Brachypodium ssp. genotypes by agronomic and physiologic indicators" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523918/Assessing_the_drought_tolerance_of_Brachypodium_ssp_genotypes_by_agronomic_and_physiologic_indicators">Assessing the drought tolerance of Brachypodium ssp. genotypes by agronomic and physiologic indicators</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abiotic stresses including drought (both in terms of quantity and intensity) are serious threats ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abiotic stresses including drought (both in terms of quantity and intensity) are serious threats to the sustainability of crop yields accounting for more crop productivity losses than any other factor in rainfed agriculture. Plant responses to water deficit can be analysed by systematically identifying traits that relate to drought tolerance followed by analysis to the cellular, biochemical and molecular levels. Brachypodium ssp, collected from Northern and central Tunisia, was considered as a potential genetic resource of drought resistance for poaceae and forage species. A group of 180 lines of the Tunisian Brachypodium ssp. representative of 9 populations were tested under three watering regimes: watering after two days, watering after four days and watering after six days. Twelve agronomic and physiologic traits were evaluated for their responses to drought stress on the basis of drought response index (DRI). Results show a considerable variation between genotypes and that the m...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523918"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523918"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523918; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523918]").text(description); $(".js-view-count[data-work-id=18523918]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523918; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523918']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523918]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523918,"title":"Assessing the drought tolerance of Brachypodium ssp. genotypes by agronomic and physiologic indicators","internal_url":"https://www.academia.edu/18523918/Assessing_the_drought_tolerance_of_Brachypodium_ssp_genotypes_by_agronomic_and_physiologic_indicators","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523916"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523916/Morpho_phenological_vs_Molecular_Genetic_variation_in_Tunisian_Brachypodium_spp"><img alt="Research paper thumbnail of Morpho-phenological vs Molecular Genetic variation in Tunisian Brachypodium spp" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523916/Morpho_phenological_vs_Molecular_Genetic_variation_in_Tunisian_Brachypodium_spp">Morpho-phenological vs Molecular Genetic variation in Tunisian Brachypodium spp</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Brachypodium distachyon belongs to the Poaceae grass subfamily. It has a close genetic relationsh...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Brachypodium distachyon belongs to the Poaceae grass subfamily. It has a close genetic relationship with temperate cereal crops which makes it a model for temperate cereals and grass crop. In order to bring a better knowledge on the genetic diversity of this species, 180 lines of B. distachyon representative of 9 populations and 6 eco-regions of Tunisia were characterized on the basis of 18 morpho-phenologic features and 15 microsatellites. Morphological analysis showed a considerable variation between populations and eco-regions in all studied traits. Variation was relatively higher for reproductive traits (53.2 %) than for vegetative ones (32.8 %). Differentiation between populations (Qst) varied from 0.033 for average length of spikes to 0.56 for heading date with an average of 0.27 which confirm the wide intra-population variation in Tunisian natural populations of B. distachyon. At the DNA level, we show that variation patterns was strongly higher within populations than among ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523916"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523916"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523916; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523916]").text(description); $(".js-view-count[data-work-id=18523916]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523916; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523916']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523916]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523916,"title":"Morpho-phenological vs Molecular Genetic variation in Tunisian Brachypodium spp","internal_url":"https://www.academia.edu/18523916/Morpho_phenological_vs_Molecular_Genetic_variation_in_Tunisian_Brachypodium_spp","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523913"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523913/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps"><img alt="Research paper thumbnail of Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps" class="work-thumbnail" src="https://attachments.academia-assets.com/42163245/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523913/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps">Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps</a></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight L...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight LGs of apricot with those of the &#x27;TxE&#x27; reference map ... A cross between the apricot genotypes &#x27;Lito&#x27; and &#x27;BO81604311&#x27;, the latter being the pollen parent, was adopted as mapping population. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3693f33f2a9570e73ba8d085ee4656ea" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163245,"asset_id":18523913,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163245/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523913"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523913"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523913; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3693f33f2a9570e73ba8d085ee4656ea" } } $('.js-work-strip[data-work-id=18523913]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523913,"title":"Development of a new SSR-based linkage map in apricot and analysis of synteny with existing Prunus maps","internal_url":"https://www.academia.edu/18523913/Development_of_a_new_SSR_based_linkage_map_in_apricot_and_analysis_of_synteny_with_existing_Prunus_maps","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[{"id":42163245,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42163245/thumbnails/1.jpg","file_name":"s11295-006-0059-8.pdf20160205-26230-1drlm1o","download_url":"https://www.academia.edu/attachments/42163245/download_file","bulk_download_file_name":"Development_of_a_new_SSR_based_linkage_m.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42163245/s11295-006-0059-8-libre.pdf20160205-26230-1drlm1o?1454708440=\u0026response-content-disposition=attachment%3B+filename%3DDevelopment_of_a_new_SSR_based_linkage_m.pdf\u0026Expires=1739831381\u0026Signature=FXM5sLBTISFnCBb4MRXfUaqRPh8PHucXenCkxq~b~UY0p68NGDpy9KO6uMY1~1RnQZ-V0f5H3b5U3kIYzx18si-el2A3lqMcIzjYXwpDbo-~XJHU4JC77rbEZOEOHSIMYrDCr9vp3ZzqMNvfrnzUk7cMEEEbifxlfwReQYJ1uh5Rp2O0nHxQMSsw4fuLEi6c5OODqhzRmLpq8a-9loRbzS25GeDkPEH~oBOHa6INkbiGFyT66GJjK3Q69D6QiLXWd5uSjZMXQvwQqQcgyl1OUeT72IFeoQWCpAamQtucQUNiUaRRB9Z84kboDSzO8-w8v8HsK4280SSxCVKHV3FtCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523911"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523911/Identification_and_characterization_of_transcripts_differentially_expressed_during_development_of_apricot_Prunus_armeniaca_L_fruit"><img alt="Research paper thumbnail of Identification and characterization of transcripts differentially expressed during development of apricot (Prunus armeniaca L.) fruit" class="work-thumbnail" src="https://attachments.academia-assets.com/42163240/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523911/Identification_and_characterization_of_transcripts_differentially_expressed_during_development_of_apricot_Prunus_armeniaca_L_fruit">Identification and characterization of transcripts differentially expressed during development of apricot (Prunus armeniaca L.) fruit</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The application of the complementary DNA (cDNA)-amplified fragment length polymorphism (AFLP) tec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The application of the complementary DNA (cDNA)-amplified fragment length polymorphism (AFLP) technique to clone transcripts differentially expressed during fruit development and ripening is reported. Using 34 different primer combinations, 265 cDNA-AFLP bands were found differentially expressed in six fruit developmental stages, with leaf and developing seed as controls. One hundred twenty-five bands were cloned and sequenced and database search allowed to identify genes involved in cell wall, sugar, lipid, organic acids, and protein metabolism, as well as genes participating in hormonal signaling and in signal transduction (51 sequences, 41% of total). Genomic and expression analyses for a group of genes as well as phylogenetic investigations were carried out. cDNA-AFLP profiles have been also compared to the corresponding Northern hybridization data. Several genes are described for the first time in apricot or in other Prunus species. They establish the basis for further investigation of the ripening process in stone fruits.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0a83ed66f25e8a31a58b022f40f8c739" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163240,"asset_id":18523911,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163240/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523911"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523911"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523911; 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523907]").text(description); $(".js-view-count[data-work-id=18523907]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523907; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523907']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523907]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523907,"title":"Shotgun proteomics and DNA analysis of waterlogged medieval grape seeds","internal_url":"https://www.academia.edu/18523907/Shotgun_proteomics_and_DNA_analysis_of_waterlogged_medieval_grape_seeds","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523905"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523905/Morpho_phenological_diversity_among_Tunisian_natural_populations_of_Brachypodium_hybridum"><img alt="Research paper thumbnail of Morpho-phenological diversity among Tunisian natural populations of Brachypodium hybridum" class="work-thumbnail" src="https://attachments.academia-assets.com/40111015/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523905/Morpho_phenological_diversity_among_Tunisian_natural_populations_of_Brachypodium_hybridum">Morpho-phenological diversity among Tunisian natural populations of Brachypodium hybridum</a></div><div class="wp-workCard_item"><span>The Journal of Agricultural Science</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Brachypodium hybridum belongs to the Poaceae grass subfamily. It has a close genetic relationship...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Brachypodium hybridum belongs to the Poaceae grass subfamily. It has a close genetic relationship with temperate cereal crops, which means that it can be used as a model for temperate cereal and grass crops. In order to improve knowledge on the genetic diversity of this species, 145 lines of B. hybridum representative of nine populations and all the ecoregions of Tunisia were characterized on the basis of 18 morpho-phenologic features. The results show a considerable variation between populations and ecoregions in all traits studied. Variation was relatively higher for reproductive than vegetative traits. The majority of traits showed very low to high heritability with low border value for average length of spikelet (ALS) and an average value of 0·64. It is noticeable that high values of heritability were observed for most vegetative descriptors, with low values for reproductive ones. Differentiation between populations (Q ST ) varied from 0·02 for ALS to 0·78 for average length of leaves with a mean value across traits of 0·4, which confirms the wide intra-population variation in Tunisian natural population of B. hybridum. Pairwise Q ST showed that the greatest differentiation among populations was registered between Ain Drahem and Jbel Zaghouan and the smallest between Haouria and Raoued. Overall, the Ain Draham population showed the largest differentiation from the rest of the populations. To infer the effect of geographic distribution of the species, a Mantel test was applied between observed pairwise differentiation and geographic distance between populations and between ecoregions: the results show a positive, but not significant, relationship. In addition a significant negative relationship was found between phenotypic diversity and altitude, indicating that genetic diversity decreased with increasing altitude. Taken together, the high levels of intrapopulation variation and the lack of correlation between genetic differentiation and geographic distribution suggest a potentially important rate of long-distance seed dispersal and confirm the role played by natural selection in the population structure of Tunisian natural populations of B. hybridum.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a05dae0e07c4d71933bb7648396b3ab5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111015,"asset_id":18523905,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111015/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523905"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523905"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523905; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523903/SSR_Marker_Based_DNA_Fingerprinting_of_Tunisian_Olive_Olea_europaeaL_Varieties"><img alt="Research paper thumbnail of SSR Marker Based DNA Fingerprinting of Tunisian Olive (Olea europaeaL.) Varieties" class="work-thumbnail" src="https://attachments.academia-assets.com/40111059/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523903/SSR_Marker_Based_DNA_Fingerprinting_of_Tunisian_Olive_Olea_europaeaL_Varieties">SSR Marker Based DNA Fingerprinting of Tunisian Olive (Olea europaeaL.) Varieties</a></div><div class="wp-workCard_item"><span>Journal of Agronomy</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2bc8016986fd1f8140dd157ee58b0232" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111059,"asset_id":18523903,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111059/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523903]").text(description); $(".js-view-count[data-work-id=18523903]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523903; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523903']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2bc8016986fd1f8140dd157ee58b0232" } } $('.js-work-strip[data-work-id=18523903]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523903,"title":"SSR Marker Based DNA Fingerprinting of Tunisian Olive (Olea europaeaL.) 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This family comprises a set of regulatory genes, consisting of a cluster of several elements at the R locus, on chromosome 10, the Lc and Sn gene lying about two units Rdistal and 8 o n chromosome 2. Each gene determines a tissue-specific pigmentation of different parts of the seed and plant. The proposed duplicated function of R, Sn, Lc and B loci is reflected in cDNA sequence similarity. In this paper an extensive analysis of the predicted proteins of the R, Sn, Lc and B genes together with a search for putative sites of post-translational modification is reported. A comparison with the PROSITE database discloses several Nglycosylation and phosphorylation sites, as well as the basic Helix-Loop-Helix (HLH) domain of transcriptional activators. Sn, Lc, and R S show a high conservation of these sites, while B is more divergent. Analysis of the 5' leader of mRNA sequences discloses the presence of five ATG triplets with two upstream open reading frames (uORFs) of 38 and 15 amino acids and a loop structure indicating a possible mechanism of control at the translational level. It is conceivable that possible mechanisms acting at the translational and post-translational level could modulate the expression and the activation of these transcription factors.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a3f87c0cca598e57324432acddf8c9a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111020,"asset_id":18523901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111020/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523901; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523901]").text(description); $(".js-view-count[data-work-id=18523901]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523901; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523901']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523899"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523899/A_New_Method_for_Rapid_Extraction_of_High_Quality_RNA_from_Recalcitrant_Tissues_of_Grapevine"><img alt="Research paper thumbnail of A New Method for Rapid Extraction of High Quality RNA from Recalcitrant Tissues of Grapevine" class="work-thumbnail" src="https://attachments.academia-assets.com/42163313/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523899/A_New_Method_for_Rapid_Extraction_of_High_Quality_RNA_from_Recalcitrant_Tissues_of_Grapevine">A New Method for Rapid Extraction of High Quality RNA from Recalcitrant Tissues of Grapevine</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/attilioscienza">attilio scienza</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A quick, inexpensive, and reliable protocol for the extraction of RNA from grapevine berry skins ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A quick, inexpensive, and reliable protocol for the extraction of RNA from grapevine berry skins containing large quantities of polyphenols, procyanidins, and polysaccharides is described. The method involves an extraction step in the presence of ribonuclease inhibitors and compounds that compete with vacuolar contaminants for binding to RNA. After extraction with organic solvents, RNA is bound to a fibrous cellulose matrix and processed to eliminate the remaining contaminants and ribonucleases. Following this method, highly stable RNA, sufficiently pure for northern hybridizations and enzymatic processing, may be obtained from as little as 200 mg of starting amounts of fresh material and without multiple, time consuming precipitations or ultracentrifugation steps. This procedure may also prove useful for extracting RNA from recalcitrant tissues of other plant species. Abbreviations: ATA, aurintricarboxylic acid; CF11, cellulose fibrous medium (type 11); PVPP, polyvinylpolypyrrolido...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="44ee3dbe4debe25b25452318451feb18" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163313,"asset_id":18523899,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163313/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523899"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523899"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523899; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "44ee3dbe4debe25b25452318451feb18" } } $('.js-work-strip[data-work-id=18523899]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523899,"title":"A New Method for Rapid Extraction of High Quality RNA from Recalcitrant Tissues of Grapevine","internal_url":"https://www.academia.edu/18523899/A_New_Method_for_Rapid_Extraction_of_High_Quality_RNA_from_Recalcitrant_Tissues_of_Grapevine","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[{"id":42163313,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/42163313/thumbnails/1.jpg","file_name":"a_3A1007433910213.pdf20160205-29330-hez66z","download_url":"https://www.academia.edu/attachments/42163313/download_file","bulk_download_file_name":"A_New_Method_for_Rapid_Extraction_of_Hig.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/42163313/a_3A1007433910213-libre.pdf20160205-29330-hez66z?1454708435=\u0026response-content-disposition=attachment%3B+filename%3DA_New_Method_for_Rapid_Extraction_of_Hig.pdf\u0026Expires=1739831381\u0026Signature=fNSxanwmgeVilZNyjItq3EV9vYHTLpfkLk-K0I3CjpcFZRElzP4BAQfqKRKyI1SxYYl3WD2qnWPP~xgShXWI6S~4YyLGQSL2OKpSTLZuajAYi65m8ih3BXCRrZL9QheJwKjE-vA5ei3eqIWWQKYi~t1p3vLgGcrgGzkXXf~NmsNvAYQwimj3LxHNjZNt0y1TizK4phMpd7zGOWTxrMjYT2Q4mDqAQwGdXeOk2hbexToQ-dXtzV7uUHWsTS~XJXlJ6VfBFWQdaVuknH6h4rUod3m3kyoGG84~~rwWJOlKUH0Ltx9MDIE7xEhnCinfYe3LLEniRvwCxjtCeeQUDOLeYA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523897"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523897/Selecting_with_markers_linked_to_the_PPVres_major_QTL_is_not_sufficient_to_predict_resistance_to_Plum_Pox_Virus_PPV_in_apricot"><img alt="Research paper thumbnail of Selecting with markers linked to the PPVres major QTL is not sufficient to predict resistance to Plum Pox Virus (PPV) in apricot" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523897/Selecting_with_markers_linked_to_the_PPVres_major_QTL_is_not_sufficient_to_predict_resistance_to_Plum_Pox_Virus_PPV_in_apricot">Selecting with markers linked to the PPVres major QTL is not sufficient to predict resistance to Plum Pox Virus (PPV) in apricot</a></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Sharka is one of the most serious viral diseases affecting stone fruit species and, in a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Sharka is one of the most serious viral diseases affecting stone fruit species and, in apricot, resistance to its viral agent, the Plum Pox Virus (PPV), is conferred by one major quantitative trait locus (QTL), named PPVres for PPV resistance. Previous studies indicated that PPV-resistant cultivars and breeding progenies can be selected by using a set of SSR markers (named PGS) targeting the PPVres locus. However, before these markers can be employed for markerassisted selection, they were validated in a wide range of genetic backgrounds and environments. We used a total of 11 mapping populations issued from three distinct environments to confirm that this marker set located within the QTL adequately predicted PPV resistance. In this study, we show that selection of PPV-resistant material based only on markers co-localizing with the PPVres major locus is not fully reliable. Indeed, genotype-phenotype discrepancies were observed depending on the progeny and the PPV-resistant/susceptible parents.While most of the PPV-resistant individuals displayed the resistant alleles, a significant number of PPV-susceptible individuals showed the same resistant haplotype. An effect of the PPV strain used for phenotyping was also demonstrated. We thus hypothesize that the presence of other factors or genes involved in the mechanism of resistance to sharka in apricot could explain these unexpected results. Our work indicates that the current PGS marker set is not broadly applicable for MAS and that marker-assisted breeding based on the sole PPVres locus is not sufficient to unambiguously select PPVresistant apricot cultivars.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523897"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523897"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523897; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="18523895"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523895/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening"><img alt="Research paper thumbnail of Comparative transcript profiling of apricot (Prunus armeniaca L.) fruit development and on-tree ripening" class="work-thumbnail" src="https://attachments.academia-assets.com/40111152/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523895/Comparative_transcript_profiling_of_apricot_Prunus_armeniaca_L_fruit_development_and_on_tree_ripening">Comparative transcript profiling of apricot (Prunus armeniaca L.) fruit development and on-tree ripening</a></div><div class="wp-workCard_item"><span>Tree Genetics & Genomes</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Considering the high degree of sequence conservation within the Rosaceae family and, in particula...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Considering the high degree of sequence conservation within the Rosaceae family and, in particular, among the Prunus species, we employed the first available peach oligonucleotide microarray (μPEACH 1.0) for studying the transcriptomic profile during apricot (cv. 'Goldrich') fruit development. Apricot fruits were harvested at three distinct developmental stages, corresponding to immature green (6 weeks before fully ripe stage), mature firm ripe (change of peel colour, 1 week before fully ripe stage) and fully ripe, namely T1, T2 and T3, respectively. When applied to μPEACH1.0, apricot target cDNAs showed significant hybridization with an average of 43% of spotted probes, validating the use of μPEACH1.0 to profile the transcriptome of apricot fruit. Microarray analyses carried out separately on peach (cv. 'Fantasia') and apricot fruit to profile transcriptome changes during fruit development showed that 70% of genes had the same expression pattern in both species. Such data indicate that the transcriptome is quite similar in apricot and peach fruit and also highlight the presence of species-specific transcript changes. In apricot, 400 and 74 differentially expressed genes were found during the transition from T1 to T2 and from T2 to T3, respectively. Among these, a considerable number of genes encoding IAA protein in action regulators (Aux/IAA) and heat shock proteins (HSPs) were highly up-regulated at early and late ripening, respectively. Intriguingly, the expression profiles of all considered HSPs and some of IAA protein /IAA genes showed different patterns between apricot and peach during the last stages of on-tree fruit development, suggesting the presence of diverse mechanism regulating ripening in these two close phylogenetically related species.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b094e5f596ae04d421295ccb1f8dcb9e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111152,"asset_id":18523895,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111152/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523895"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523895"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523895; 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Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight L...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Orange&#x27; had a sufficient number of anchor markers to enable the alignment of the eight LGs of apricot with those of the &#x27;TxE&#x27; reference map ... A cross between the apricot genotypes &#x27;Lito&#x27; and &#x27;BO81604311&#x27;, the latter being the pollen parent, was adopted as mapping population. ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8f4ef50477d208d499db29299c61de21" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42163250,"asset_id":18523893,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42163250/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523893"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523893"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523893; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523891"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523891/Discrimination_between_cultivars_of_Vitis_vinifera_based_on_molecular_variability_concerning_5_and_x02033_untranslated_regions_of_the_StSy_CHS_genes"><img alt="Research paper thumbnail of Discrimination between cultivars of Vitis vinifera based on molecular variability concerning 5&#x02033; untranslated regions of the StSy-CHS genes" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523891/Discrimination_between_cultivars_of_Vitis_vinifera_based_on_molecular_variability_concerning_5_and_x02033_untranslated_regions_of_the_StSy_CHS_genes">Discrimination between cultivars of Vitis vinifera based on molecular variability concerning 5&#x02033; untranslated regions of the StSy-CHS genes</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/attilioscienza">attilio scienza</a></span></div><div class="wp-workCard_item"><span>TAG Theoretical and Applied Genetics</span><span>, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The degree of polymorphism present in 5′ untranslated regions of stilbene synthase (StSy)-like lo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The degree of polymorphism present in 5′ untranslated regions of stilbene synthase (StSy)-like loci was assessed. A ligation-mediated polymerase chain reaction (LM-PCR) cloning strategy was adopted to isolate sequences located immediately upstream of StSy coding regions. Among several clones, 13 randomly chosen fragments were analyzed at the sequence level. Four of the analyzed fragments appeared of particular interest. Two carried</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523891"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523891"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523891; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523891]").text(description); $(".js-view-count[data-work-id=18523891]").attr('title', description).tooltip(); 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523889/A_method_for_extracting_genomic_DNA_suitable_for_medium_throughput_applications_from_plant_tissues_rich_in_contaminants"><img alt="Research paper thumbnail of A method for extracting genomic DNA suitable for medium-throughput applications from plant tissues rich in contaminants" class="work-thumbnail" src="https://attachments.academia-assets.com/40111008/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523889/A_method_for_extracting_genomic_DNA_suitable_for_medium_throughput_applications_from_plant_tissues_rich_in_contaminants">A method for extracting genomic DNA suitable for medium-throughput applications from plant tissues rich in contaminants</a></div><div class="wp-workCard_item"><span>Plant Molecular Biology Reporter</span><span>, 2004</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Isolating nucleic acids from sources rich in contaminants is particularly cumbersome when treatin...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Isolating nucleic acids from sources rich in contaminants is particularly cumbersome when treating a large number of samples. Several protocols have been published that address the problem of nucleic acid extraction and purification, but few address sample number. We describe a method for extracting DNA from recalcitrant tree species by using a commercial grinding apparatus. This alleviates the hard work of sample preparation prior to lysis and purification. Our method has been tested extensively on different fruit tree species and in projects that require the simultaneous processing of hundreds of samples. Moreover, it does not require the availability of robotic workstations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="68357daf0e63ce4801c8953266422d0a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111008,"asset_id":18523889,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111008/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523889; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "68357daf0e63ce4801c8953266422d0a" } } $('.js-work-strip[data-work-id=18523889]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523889,"title":"A method for extracting genomic DNA suitable for medium-throughput applications from plant tissues rich in contaminants","internal_url":"https://www.academia.edu/18523889/A_method_for_extracting_genomic_DNA_suitable_for_medium_throughput_applications_from_plant_tissues_rich_in_contaminants","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[{"id":40111008,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/40111008/thumbnails/1.jpg","file_name":"bf02773354.pdf20151117-3125-1tjrux5","download_url":"https://www.academia.edu/attachments/40111008/download_file","bulk_download_file_name":"A_method_for_extracting_genomic_DNA_suit.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/40111008/bf02773354-libre.pdf20151117-3125-1tjrux5?1447793113=\u0026response-content-disposition=attachment%3B+filename%3DA_method_for_extracting_genomic_DNA_suit.pdf\u0026Expires=1739831381\u0026Signature=d1Z4K-BDAIRLYWuMOnGbS9nQIoqg8IzvfcYRLtf0kYBWwrI4WiFGrl1fBfxB5fXqR1AH0MJ1JsjGYYsyP0UDQVacUDs3MPI4Fi2-hGZH2H427VlMXuJK6DuJ63gPTz7j~HwcCSY1hjizBOrFM1rqVyrJrWM2nUYhE3QmiR7awH19UyxisdAaorbn6AZITWDuAQAPpBSnAb0ZTNcl2IPyKpwj1lQBQuLVlGW~R~0ht2P8AGFwTdLGbQrUALzpQiP-oUpwGOfu-eqg3F40Ls6-x1MqKMQhN0an4bSBNqd7pvxeuXOIgkXvMbhIJZ9-VkdZhgcAN8n7lh0SQUHCHPtB2g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523887"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/18523887/The_use_of_AFLP_markers_for_cultivar_identification_in_apricot"><img alt="Research paper thumbnail of The use of AFLP markers for cultivar identification in apricot" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/18523887/The_use_of_AFLP_markers_for_cultivar_identification_in_apricot">The use of AFLP markers for cultivar identification in apricot</a></div><div class="wp-workCard_item"><span>Plant Breeding</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... For DNA extraction and purification, the dry powder was mixed with glass beads, and suspended...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... For DNA extraction and purification, the dry powder was mixed with glass beads, and suspended in 1 ml of modified extraction buffer (Loulakakis ... This is the case of the group comprising accessions &amp;#x27;Pandora&amp;#x27;, &amp;#x27;Mai Huang&amp;#x27;, &amp;#x27;P. mandshurica 1&amp;#x27;, &amp;#x27;P. mandshurica 2&amp;#x27;, &amp;#x27;B. Quadra&amp;#x27; and ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523887"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523887"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523887; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523887]").text(description); $(".js-view-count[data-work-id=18523887]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523887; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523887']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=18523887]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523887,"title":"The use of AFLP markers for cultivar identification in apricot","internal_url":"https://www.academia.edu/18523887/The_use_of_AFLP_markers_for_cultivar_identification_in_apricot","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523885"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523885/Identification_of_QTL_for_resistance_to_plum_pox_virus_strains_M_and_D_in_Lito_and_Harcot_apricot_cultivars"><img alt="Research paper thumbnail of Identification of QTL for resistance to plum pox virus strains M and D in Lito and Harcot apricot cultivars" class="work-thumbnail" src="https://attachments.academia-assets.com/40111009/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523885/Identification_of_QTL_for_resistance_to_plum_pox_virus_strains_M_and_D_in_Lito_and_Harcot_apricot_cultivars">Identification of QTL for resistance to plum pox virus strains M and D in Lito and Harcot apricot cultivars</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FilippoGeuna">Filippo Geuna</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/DBoscia">D. Boscia</a></span></div><div class="wp-workCard_item"><span>Molecular Breeding</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Sharka is a severe apricot viral disease caused by the plum pox virus (PPV) and is responsible fo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Sharka is a severe apricot viral disease caused by the plum pox virus (PPV) and is responsible for large crop losses in many countries. Among the known PPV strains, both PPV-D (Dideron) and PPV-M (Marcus) are virulent in apricot, the latter being the most threatening. An F1 apricot progeny derived from Lito, described in the literature as resistant, crossed to the susceptible selection BO81604311 (San Castrese 9 Reale di Imola) was used to study the genetic control of resistance to PPV. A population of 118 individuals was phenotyped by inoculating both PPV-D and PPV-M strains in replicated seedlings and scored for 3 years. An additional set of 231 seedlings from the same cross was also phenotyped for 2 years. SSRbased linkage maps were used for quantitative trait locus (QTL) analysis. A major QTL of resistance to both PPV-M and PPV-D strains was found in the top half of the Lito linkage group 1, where a QTL was previously described in Stark Earli-Orange, the donor of Lito resistance. The LOD score was considerably enhanced when the recovery of plants from infection was taken into account. The results obtained in Lito were compared with those observed in a second apricot cross progeny (Harcot 9 Reale di Imola) in which QTL of resistance to sharka were also mapped in the same linkage group 1 for both PPV strains. Several models of resistance to sharka disease are discussed considering the segregation frequencies, the QTL alignment in the two maps and the information gathered from the literature.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f9f79e5489a85817769c2342c181a51f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111009,"asset_id":18523885,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111009/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523885"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523885"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523885; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=18523885]").text(description); $(".js-view-count[data-work-id=18523885]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 18523885; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='18523885']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f9f79e5489a85817769c2342c181a51f" } } $('.js-work-strip[data-work-id=18523885]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18523885,"title":"Identification of QTL for resistance to plum pox virus strains M and D in Lito and Harcot apricot cultivars","internal_url":"https://www.academia.edu/18523885/Identification_of_QTL_for_resistance_to_plum_pox_virus_strains_M_and_D_in_Lito_and_Harcot_apricot_cultivars","owner_id":38559753,"coauthors_can_edit":true,"owner":{"id":38559753,"first_name":"Filippo","middle_initials":null,"last_name":"Geuna","page_name":"FilippoGeuna","domain_name":"independent","created_at":"2015-11-17T12:19:28.963-08:00","display_name":"Filippo Geuna","url":"https://independent.academia.edu/FilippoGeuna"},"attachments":[{"id":40111009,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/40111009/thumbnails/1.jpg","file_name":"Identification_of_QTL_for_resistance_to_20151117-3120-2p5xfa.pdf","download_url":"https://www.academia.edu/attachments/40111009/download_file","bulk_download_file_name":"Identification_of_QTL_for_resistance_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/40111009/Identification_of_QTL_for_resistance_to_20151117-3120-2p5xfa-libre.pdf?1447793113=\u0026response-content-disposition=attachment%3B+filename%3DIdentification_of_QTL_for_resistance_to.pdf\u0026Expires=1739831381\u0026Signature=NnE8vXv7xNG7FsFjCnFm7tD37SsSEW172AAylCTXQL5JpARz90Juf45ZJMrtoI6o4-p5yckGz8EtCPBnOgGbFZXns53R5Fjp1--dJEF60AZENOrFpQ7cUoBsFqed95S8uIHd919nbPt1JM~RaEhLlTR0ZlrIkK51HgMUBKKnzfAo94OyDx7eEwvn4RuvpGV~PiUheOkh5Azr9pg2ZWAaHgNI5V4DPT6L803-6l-QdJn1tY2XcNkulXjOPBIQUo~7DBJtr~0On~RmdGWd~GkbjEIuN-j3JhUm3HPPb4N4yX9oLw6llVwFCrallTbDwK2W8H1J5T2GCs8RoGk8oxeFBg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523883"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523883/Evaluation_of_amplified_fragment_length_polymorphism_and_simple_sequence_repeats_for_tomato_germplasm_fingerprinting_utility_for_grouping_closely_related_traditional_cultivars"><img alt="Research paper thumbnail of Evaluation of amplified fragment length polymorphism and simple sequence repeats for tomato germplasm fingerprinting: utility for grouping closely related traditional cultivars" class="work-thumbnail" src="https://attachments.academia-assets.com/40111010/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523883/Evaluation_of_amplified_fragment_length_polymorphism_and_simple_sequence_repeats_for_tomato_germplasm_fingerprinting_utility_for_grouping_closely_related_traditional_cultivars">Evaluation of amplified fragment length polymorphism and simple sequence repeats for tomato germplasm fingerprinting: utility for grouping closely related traditional cultivars</a></div><div class="wp-workCard_item"><span>Genome</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cultivated tomato (Solanum lycopersicum L.) germplasm shows limited genetic variation. Many DNA m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cultivated tomato (Solanum lycopersicum L.) germplasm shows limited genetic variation. Many DNA marker systems have been used for genetic diversity studies in wild and cultivated tomatoes, but their usefulness for characterizing phenotypic differences among very closely related cultivars remains uncertain. We have used 19 selected simple sequence repeat (SSR) markers and 7 amplified fragment length polymorphism (AFLP) primer combinations to characterize 48 cultivars of tomato, mainly traditional cultivars from the south-east of Spain. The main types were Solanum lycopersicum L. 'Muchamiel', 'De la pera', and 'Moruno'. The robustness of the dendrograms and the discrimination power reached with each marker type were similar. Unique fingerprinting even of the most closely related tomato cultivars could be obtained using a combination of some SSR and AFLP markers. A better grouping of the 'Muchamiel' cultivars was observed with SSR markers, whereas the grouping of cultivars of 'De la pera' type was best achieved with AFLPs. However, both types of markers adequately grouped cultivars of the main types, confirming the utility of SSR and AFLP markers for the identification of traditional cultivars of tomato.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5ead75cac9ba0c0a4399da2db263cf28" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40111010,"asset_id":18523883,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40111010/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523883"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523883; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18523881"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18523881/Agronomic_and_molecular_analyses_for_the_characterisation_of_accessions_in_Tunisian_olive_germplasm_collections"><img alt="Research paper thumbnail of Agronomic and molecular analyses for the characterisation of accessions in Tunisian olive germplasm collections" class="work-thumbnail" src="https://attachments.academia-assets.com/42269934/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18523881/Agronomic_and_molecular_analyses_for_the_characterisation_of_accessions_in_Tunisian_olive_germplasm_collections">Agronomic and molecular analyses for the characterisation of accessions in Tunisian olive germplasm collections</a></div><div class="wp-workCard_item"><span>Electronic Journal of Biotechnology</span><span>, 2006</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b5ab32ec094f8ace43a5513aa2f431b9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42269934,"asset_id":18523881,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42269934/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18523881"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18523881"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18523881; 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