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Martin B Richards | University of Huddersfield - Academia.edu

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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 Martin B Richards</h3></div><div class="js-work-strip profile--work_container" data-work-id="76930244"><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/76930244/Origin_and_spread_of_human_mitochondrial_DNA_haplogroup_U7"><img alt="Research paper thumbnail of Origin and spread of human mitochondrial DNA haplogroup U7" class="work-thumbnail" src="https://attachments.academia-assets.com/84476421/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/76930244/Origin_and_spread_of_human_mitochondrial_DNA_haplogroup_U7">Origin and spread of human mitochondrial DNA haplogroup U7</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/HovhannesSahakyan">Hovhannes Sahakyan</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://hud.academia.edu/MartinRichards">Martin B Richards</a></span></div><div class="wp-workCard_item"><span>Scientific reports</span><span>, Apr 7, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Human mitochondrial DNA haplogroup U is among the initial maternal founders in Southwest Asia and...</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">Human mitochondrial DNA haplogroup U is among the initial maternal founders in Southwest Asia and Europe and one that best indicates matrilineal genetic continuity between late Pleistocene hunter-gatherer groups and present-day populations of Europe. While most haplogroup U subclades are older than 30 thousand years, the comparatively recent coalescence time of the extant variation of haplogroup U7 (~16-19 thousand years ago) suggests that its current distribution is the consequence of more recent dispersal events, despite its wide geographical range across Europe, the Near East and South Asia. Here we report 267 new U7 mitogenomes that - analysed alongside 100 published ones - enable us to discern at least two distinct temporal phases of dispersal, both of which most likely emanated from the Near East. The earlier one began prior to the Holocene (~11.5 thousand years ago) towards South Asia, while the later dispersal took place more recently towards Mediterranean Europe during the ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="116b49d3b3ecb199b7df253432dde488" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:84476421,&quot;asset_id&quot;:76930244,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/84476421/download_file?st=MTczMjQ0NDUzMCw4LjIyMi4yMDguMTQ2&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="76930244"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="76930244"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76930244; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76930244]").text(description); $(".js-view-count[data-work-id=76930244]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76930244; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76930244']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 76930244, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "116b49d3b3ecb199b7df253432dde488" } } $('.js-work-strip[data-work-id=76930244]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76930244,"title":"Origin and spread of human mitochondrial DNA haplogroup U7","translated_title":"","metadata":{"abstract":"Human mitochondrial DNA haplogroup U is among the initial maternal founders in Southwest Asia and Europe and one that best indicates matrilineal genetic continuity between late Pleistocene hunter-gatherer groups and present-day populations of Europe. 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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="115162290"><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/115162290/Mitochondrial_Genome_Sequences_and_Their_Phylogeographic_Interpretation"><img alt="Research paper thumbnail of Mitochondrial Genome Sequences and Their Phylogeographic Interpretation" 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" href="https://www.academia.edu/115162290/Mitochondrial_Genome_Sequences_and_Their_Phylogeographic_Interpretation">Mitochondrial Genome Sequences and Their Phylogeographic Interpretation</a></div><div class="wp-workCard_item"><span>eLS</span><span>, Sep 19, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The strong phylogenetic signal provided by mitochondrial deoxyribonucleic acid (mtDNA) sequences ...</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 strong phylogenetic signal provided by mitochondrial deoxyribonucleic acid (mtDNA) sequences within species is being exploited to reconstruct the maternal genealogy and anchor it in space and time. This is the starting point for interpretations of the processes in population history that led to those patterns, as illustrated here for humans. Mitochondrial phylogeography began by revolutionising our view of modern human origins, with the demonstration that modern humans dispersed from Africa approximately 60 000 years ago. Now benefitting from the high genealogical and chronological resolution afforded by whole‐mtDNA sequences, and despite the advent of genome‐wide analyses, mtDNA continues to illuminate prehistoric settlement and dispersal history. 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class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Phylogenetic and diversity analysis of the mtDNA control region sequence variation of 821 individ...</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">Phylogenetic and diversity analysis of the mtDNA control region sequence variation of 821 individuals from Europe and the Middle East distinguishes five major lineage groups with different internal diversities and divergence times. Consideration of the diversities and geographic distribution of these groups within Europe and the Middle East leads to the conclusion that ancestors of the great majority of modern, extant lineages entered Europe during the Upper Paleolithic. A further set of lineages arrived from the Middle East much later, and their age and geographic distribution within Europe correlates well with archaeological evidence for two culturally and geographically distinct Neolithic colonization events that are associated with the spread of agriculture. It follows from this interpretation that the major extant lineages throughout Europe predate the Neolithic expansion and that the spread of agriculture was a substantially indigenous development accompanied by only a relatively minor component of contemporary Middle Eastern agriculturalists. There is no evidence of any surviving Neanderthal lineages among modern Europeans.</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="115162242"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115162242"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115162242; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115162242]").text(description); $(".js-view-count[data-work-id=115162242]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115162242; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115162242']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115162242, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=115162242]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115162242,"title":"Paleolithic and Neolithic Lineages in the European Mitochondrial Gene Pool: a reply to Cavalli-Sforza and Minch","translated_title":"","metadata":{"abstract":"Phylogenetic and diversity analysis of the mtDNA control region sequence variation of 821 individuals from Europe and the Middle East distinguishes five major lineage groups with different internal diversities and divergence times. 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href="https://www.academia.edu/111305178/Archaeogenetics">Archaeogenetics</a></div><div class="wp-workCard_item"><span>Cambridge University Press eBooks</span><span>, Apr 16, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Archaeogenetics was described by Renfrew as ‘the study of the human past using the techniques of ...</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">Archaeogenetics was described by Renfrew as ‘the study of the human past using the techniques of molecular genetics’ – involving the collaboration of geneticists with archaeologists, anthropologists, historical linguists, and climatologists. He traced its origins to the pioneering work of Cavalli-Sforza in the 1960s, using classical genetic markers (such as blood groups, etc.). Ammerman and Cavalli-Sforza developed a suite of new approaches, in particular the use of principal component maps, to evaluate the distribution of genetic variation in space. Their results on Europe, in particular, were taken to imply large-scale demic diffusion of farming communities from the Near East with the advent of the Neolithic. The discipline was then renewed in the 1980s by Wilson&amp;#39;s work on mitochondrial DNA (mtDNA), as DNA sequencing started to become routine, making it possible for the first time to build genealogical trees of lineages within a species</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="111305178"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111305178"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111305178; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111305178]").text(description); $(".js-view-count[data-work-id=111305178]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111305178; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111305178']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111305178, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=111305178]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111305178,"title":"Archaeogenetics","translated_title":"","metadata":{"abstract":"Archaeogenetics was described by Renfrew as ‘the study of the human past using the techniques of molecular genetics’ – involving the collaboration of geneticists with archaeologists, anthropologists, historical linguists, and climatologists. 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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/111305160/An_Efficient_and_User_Friendly_Implementation_of_the_Founder_Analysis_Methodology">An Efficient and User-Friendly Implementation of the Founder Analysis Methodology</a></div><div class="wp-workCard_item"><span>Advances in intelligent systems and computing</span><span>, Jun 22, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Founder analysis is a sophisticated application of phylogeographic analysis. It comprises the est...</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">Founder analysis is a sophisticated application of phylogeographic analysis. It comprises the estimation of timing and impact of migrations in current populations by taking advantage of the non-recombining property of certain marker systems (in the first instance, mitochondrial DNA) and therefore the possibility of building realistic phylogenetic trees. Given two populations, a source and a sink, and an assumed direction of migration between them, we can identify founder haplotypes, date the founder clusters deriving from them, and also estimate the proportions of lineages in each migration event. Despite being a methodology dating back nearly two decades and having been featured in numerous research articles, its use has mostly been restricted to a handful of research groups due to the cumbersome and time-consuming calculations it entails, a hindrance which stems not only from the often prohibitively large volume of data being dealt with but also the intricacies involved in the detection of founders. We have developed a Python-based tool with a user-friendly interface in response to these issues, providing a fast, automatized approach to the founder analysis pipeline and additional useful features within this context, expediting this step efficiently and allowing more hypotheses to be tested in a reliable and easily reproducible manner.</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="111305160"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111305160"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111305160; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111305160]").text(description); $(".js-view-count[data-work-id=111305160]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111305160; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111305160']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111305160, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=111305160]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111305160,"title":"An Efficient and User-Friendly Implementation of the Founder Analysis Methodology","translated_title":"","metadata":{"abstract":"Founder analysis is a sophisticated application of phylogeographic analysis. 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While most haplogroup U subclades are older than 30 thousand years, the comparatively recent coalescence time of the extant variation of haplogroup U7 (~16-19 thousand years ago) suggests that its current distribution is the consequence of more recent dispersal events, despite its wide geographical range across Europe, the Near East and South Asia. Here we report 267 new U7 mitogenomes that - analysed alongside 100 published ones - enable us to discern at least two distinct temporal phases of dispersal, both of which most likely emanated from the Near East. The earlier one began prior to the Holocene (~11.5 thousand years ago) towards South Asia, while the later dispersal took place more recently towards Mediterranean Europe during the ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="116b49d3b3ecb199b7df253432dde488" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{&quot;attachment_id&quot;:84476421,&quot;asset_id&quot;:76930244,&quot;asset_type&quot;:&quot;Work&quot;,&quot;button_location&quot;:&quot;profile&quot;}" href="https://www.academia.edu/attachments/84476421/download_file?st=MTczMjQ0NDUzMCw4LjIyMi4yMDguMTQ2&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="76930244"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="76930244"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76930244; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76930244]").text(description); $(".js-view-count[data-work-id=76930244]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76930244; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76930244']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 76930244, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "116b49d3b3ecb199b7df253432dde488" } } $('.js-work-strip[data-work-id=76930244]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76930244,"title":"Origin and spread of human mitochondrial DNA haplogroup U7","translated_title":"","metadata":{"abstract":"Human mitochondrial DNA haplogroup U is among the initial maternal founders in Southwest Asia and Europe and one that best indicates matrilineal genetic continuity between late Pleistocene hunter-gatherer groups and present-day populations of Europe. 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Sequences and Their Phylogeographic Interpretation</a></div><div class="wp-workCard_item"><span>eLS</span><span>, Sep 19, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The strong phylogenetic signal provided by mitochondrial deoxyribonucleic acid (mtDNA) sequences ...</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 strong phylogenetic signal provided by mitochondrial deoxyribonucleic acid (mtDNA) sequences within species is being exploited to reconstruct the maternal genealogy and anchor it in space and time. 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class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Phylogenetic and diversity analysis of the mtDNA control region sequence variation of 821 individ...</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">Phylogenetic and diversity analysis of the mtDNA control region sequence variation of 821 individuals from Europe and the Middle East distinguishes five major lineage groups with different internal diversities and divergence times. Consideration of the diversities and geographic distribution of these groups within Europe and the Middle East leads to the conclusion that ancestors of the great majority of modern, extant lineages entered Europe during the Upper Paleolithic. A further set of lineages arrived from the Middle East much later, and their age and geographic distribution within Europe correlates well with archaeological evidence for two culturally and geographically distinct Neolithic colonization events that are associated with the spread of agriculture. It follows from this interpretation that the major extant lineages throughout Europe predate the Neolithic expansion and that the spread of agriculture was a substantially indigenous development accompanied by only a relatively minor component of contemporary Middle Eastern agriculturalists. There is no evidence of any surviving Neanderthal lineages among modern Europeans.</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="115162242"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="115162242"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 115162242; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=115162242]").text(description); $(".js-view-count[data-work-id=115162242]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 115162242; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='115162242']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 115162242, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=115162242]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":115162242,"title":"Paleolithic and Neolithic Lineages in the European Mitochondrial Gene Pool: a reply to Cavalli-Sforza and Minch","translated_title":"","metadata":{"abstract":"Phylogenetic and diversity analysis of the mtDNA control region sequence variation of 821 individuals from Europe and the Middle East distinguishes five major lineage groups with different internal diversities and divergence times. 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href="https://www.academia.edu/111305178/Archaeogenetics">Archaeogenetics</a></div><div class="wp-workCard_item"><span>Cambridge University Press eBooks</span><span>, Apr 16, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Archaeogenetics was described by Renfrew as ‘the study of the human past using the techniques of ...</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">Archaeogenetics was described by Renfrew as ‘the study of the human past using the techniques of molecular genetics’ – involving the collaboration of geneticists with archaeologists, anthropologists, historical linguists, and climatologists. He traced its origins to the pioneering work of Cavalli-Sforza in the 1960s, using classical genetic markers (such as blood groups, etc.). Ammerman and Cavalli-Sforza developed a suite of new approaches, in particular the use of principal component maps, to evaluate the distribution of genetic variation in space. Their results on Europe, in particular, were taken to imply large-scale demic diffusion of farming communities from the Near East with the advent of the Neolithic. The discipline was then renewed in the 1980s by Wilson&amp;#39;s work on mitochondrial DNA (mtDNA), as DNA sequencing started to become routine, making it possible for the first time to build genealogical trees of lineages within a species</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="111305178"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111305178"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111305178; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111305178]").text(description); $(".js-view-count[data-work-id=111305178]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111305178; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111305178']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111305178, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=111305178]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111305178,"title":"Archaeogenetics","translated_title":"","metadata":{"abstract":"Archaeogenetics was described by Renfrew as ‘the study of the human past using the techniques of molecular genetics’ – involving the collaboration of geneticists with archaeologists, anthropologists, historical linguists, and climatologists. 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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/111305160/An_Efficient_and_User_Friendly_Implementation_of_the_Founder_Analysis_Methodology">An Efficient and User-Friendly Implementation of the Founder Analysis Methodology</a></div><div class="wp-workCard_item"><span>Advances in intelligent systems and computing</span><span>, Jun 22, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Founder analysis is a sophisticated application of phylogeographic analysis. It comprises the est...</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">Founder analysis is a sophisticated application of phylogeographic analysis. It comprises the estimation of timing and impact of migrations in current populations by taking advantage of the non-recombining property of certain marker systems (in the first instance, mitochondrial DNA) and therefore the possibility of building realistic phylogenetic trees. Given two populations, a source and a sink, and an assumed direction of migration between them, we can identify founder haplotypes, date the founder clusters deriving from them, and also estimate the proportions of lineages in each migration event. Despite being a methodology dating back nearly two decades and having been featured in numerous research articles, its use has mostly been restricted to a handful of research groups due to the cumbersome and time-consuming calculations it entails, a hindrance which stems not only from the often prohibitively large volume of data being dealt with but also the intricacies involved in the detection of founders. We have developed a Python-based tool with a user-friendly interface in response to these issues, providing a fast, automatized approach to the founder analysis pipeline and additional useful features within this context, expediting this step efficiently and allowing more hypotheses to be tested in a reliable and easily reproducible manner.</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="111305160"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111305160"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111305160; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111305160]").text(description); $(".js-view-count[data-work-id=111305160]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111305160; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111305160']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111305160, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=111305160]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111305160,"title":"An Efficient and User-Friendly Implementation of the Founder Analysis Methodology","translated_title":"","metadata":{"abstract":"Founder analysis is a sophisticated application of phylogeographic analysis. 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Here, we present a low-coverage genome of an eleventh century CE man buried in an Islamic necropolis in Segorbe, near Valencia, Spain. Uniparental lineages indicate North African ancestry, but at the autosomal level he displays a mosaic of North African and European-like ancestries, distinct from any present-day population. Altogether, the genome-wide evidence, stable isotope results and the age of the burial indicate that his ancestry was ultimately a result of admixture between recently arrived Amazigh people (Berbers) and the population inhabiting the Peninsula prior to the Islamic conquest. 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dispatcherData: dispatcherData }); $(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="16470021" id="articles"><div class="js-work-strip profile--work_container" data-work-id="88742869"><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/88742869/Evidence_for_variable_selective_pressures_at_a_large_secondary_structure_of_the_human_mitochondrial_DNA_control_region"><img alt="Research paper thumbnail of Evidence for variable selective pressures at a large secondary structure of the human mitochondrial DNA control region" 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" href="https://www.academia.edu/88742869/Evidence_for_variable_selective_pressures_at_a_large_secondary_structure_of_the_human_mitochondrial_DNA_control_region">Evidence for variable selective pressures at a large secondary structure of the human mitochondrial DNA control region</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/Jo%C3%A3oCarneiro34">João Carneiro</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://hud.academia.edu/MartinRichards">Martin B Richards</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A combined effect of functional constraints and random mutational events is responsible for the s...</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 combined effect of functional constraints and random mutational events is responsible for the sequence evolution of the human mitochondrial DNA (mtDNA) control region. Most studies targeting this noncoding segment usually focus on its primary sequence information disregarding other informative levels such as secondary or tertiary DNA conformations. In this work, we combined the most recent developments in DNA folding calculations with a phylogenetic comparative approach in order to investigate the formation of intrastrand secondary structures in the human mtDNA control region. Our most striking results are those regarding a new cloverleaf-like secondary structure predicted for a 93-bp stretch of the control region 5&#39;-peripheral domain. Randomized sequences indicated that this structure has a more negative folding energy than the average of random sequences with the same nucleotide composition. In addition, a sliding window scan across the complete mitochondrial genome revealed that it stands out as having one of the highest folding potential. Moreover, we detected several lines of evidence of both negative and positive selection on this structure with high levels of conservation at the structure-relevant stem regions and the occurrence of compensatory base changes in the primate lineage. In the light of previous data, we discuss the possible involvement of this structure in mtDNA replication and/or transcription. We conclude that maintenance of this structure is responsible for the observed heterogeneity in the rate of substitution among sites in part of the human hypervariable region I and that it is a hot spot for the 3&#39; end of human mtDNA deletions.</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="88742869"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="88742869"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 88742869; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=88742869]").text(description); $(".js-view-count[data-work-id=88742869]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 88742869; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='88742869']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 88742869, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=88742869]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":88742869,"title":"Evidence for variable selective pressures at a large secondary structure of the human mitochondrial DNA control region","translated_title":"","metadata":{"abstract":"A combined effect of functional constraints and random mutational events is responsible for the sequence evolution of the human mitochondrial DNA (mtDNA) control region. Most studies targeting this noncoding segment usually focus on its primary sequence information disregarding other informative levels such as secondary or tertiary DNA conformations. In this work, we combined the most recent developments in DNA folding calculations with a phylogenetic comparative approach in order to investigate the formation of intrastrand secondary structures in the human mtDNA control region. Our most striking results are those regarding a new cloverleaf-like secondary structure predicted for a 93-bp stretch of the control region 5'-peripheral domain. Randomized sequences indicated that this structure has a more negative folding energy than the average of random sequences with the same nucleotide composition. In addition, a sliding window scan across the complete mitochondrial genome revealed that it stands out as having one of the highest folding potential. 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