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microbiome</title> <meta name="description" content="Search results for: rhizosphere microbiome"> <meta name="keywords" content="rhizosphere microbiome"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="rhizosphere microbiome"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 152</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: rhizosphere microbiome</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">152</span> Rhizosphere Microbiome Involvement in the Natural Suppression of Soybean Cyst Nematode in Disease Suppressive Soil</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Imran%20Hamid">M. Imran Hamid</a>, <a href="https://publications.waset.org/abstracts/search?q=Muzammil%20Hussain"> Muzammil Hussain</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunpeng%20Wu"> Yunpeng Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Meichun%20Xiang"> Meichun Xiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xingzhong%20Liu"> Xingzhong Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rhizosphere microbiome elucidate multiple functioning in the soil suppressiveness against plant pathogens. Soybean rhizosphere microbial communities may involve in the natural suppression of soybean cyst nematode (SCN) populations in disease suppressive soils. To explore these ecological mechanisms of microbes, a long term monoculture suppressive soil were taken into account for further investigation to test the disease suppressive ability by using different treatments. The designed treatments are as, i) suppressive soil (S), ii) conducive soil (C), iii) conducive soil mixed with 10% (w/w) suppressive soil (CS), iv) suppressive soil treated at 80°C for 1 hr (S80), and v) suppressive soil treated with formalin (SF). By using an ultra-high-throughput sequencing approach, we identified the key bacterial and fungal taxa involved in SCN suppression. The Phylum-level investigation of bacteria revealed that Actinobacteria, Bacteroidetes, and Proteobacteria in the rhizosphere soil of soybean seedlings were more abundant in the suppressive soil than in the conducive soil. The phylum-level analysis of fungi in rhizosphere soil indicated that relative abundance of Ascomycota was higher in suppressive soil than in the conducive soil, where Basidiomycota was more abundant. Transferring suppressive soil to conducive soil increased the population of Ascomycota in the conducive soil by lowering the populations of Basidiomycota. The genera, such as, Pochonia, Purpureocillium, Fusarium, Stachybotrys that have been well documented as bio-control agents of plant nematodes were far more in the disease suppressive soils. Our results suggested that the plants engage a subset of functional microbial groups in the rhizosphere for initial defense upon nematode attack and protect the plant roots later on by nematodes to response for suppression of SCN in disease-suppressive soils. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disease%20suppressive%20soil" title="disease suppressive soil">disease suppressive soil</a>, <a href="https://publications.waset.org/abstracts/search?q=high-throughput%20sequencing" title=" high-throughput sequencing"> high-throughput sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere%20microbiome" title=" rhizosphere microbiome"> rhizosphere microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=soybean%20cyst%20nematode" title=" soybean cyst nematode"> soybean cyst nematode</a> </p> <a href="https://publications.waset.org/abstracts/95784/rhizosphere-microbiome-involvement-in-the-natural-suppression-of-soybean-cyst-nematode-in-disease-suppressive-soil" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95784.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">151</span> Rhizosphere Microbial Communities in Fynbos Endemic Legumes during Wet and Dry Seasons</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tiisetso%20Mpai">Tiisetso Mpai</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanjay%20K.%20Jaiswal"> Sanjay K. Jaiswal</a>, <a href="https://publications.waset.org/abstracts/search?q=Felix%20D.%20Dakora"> Felix D. Dakora</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The South African Cape fynbos biome is a global biodiversity hotspot. This biome contains a diversity of endemic shrub legumes, including Polhillia, Wiborgia, and Wiborgiella species, which are important for ecotourism as well as for improving soil fertility status. This is due to their proven N₂-fixing abilities when in association with compatible soil bacteria. In fact, Polhillia, Wiborgia, and Wiborgiella species have been reported to derive over 61% of their needed nitrogen through biological nitrogen fixation and to exhibit acid and alkaline phosphatase activity in their rhizospheres. Thus, their interactions with soil microbes may explain their survival mechanisms under the continued summer droughts and acidic, nutrient-poor soils in this region. However, information regarding their rhizosphere microbiome is still unavailable, yet it is important for Fynbos biodiversity management. Therefore, the aim of this study was to assess the microbial community structures associated with rhizosphere soils of Polhillia pallens, Polhillia brevicalyx, Wiborgia obcordata, Wiborgia sericea, and Wiborgiella sessilifolia growing at different locations of the South African Cape fynbos, during the wet and dry seasons. The hypothesis is that the microbial communities in these legume rhizospheres are the same type and are not affected by the growing season due to the restricted habitat of these wild fynbos legumes. To obtain the results, DNA was extracted from 0.5 g of each rhizosphere soil using PowerSoil™ DNA Isolation Kit, and sequences were obtained using the 16S rDNA Miseq Illumina technology. The results showed that in both seasons, bacteria were the most abundant microbial taxa in the rhizosphere soils of all five legume species, with Actinobacteria showing the highest number of sequences (about 30%). However, over 19.91% of the inhabitants in all five legume rhizospheres were unclassified. In terms of genera, Mycobacterium and Conexibacter were common in rhizosphere soils of all legumes in both seasons except for W. obcordata soils sampled during the dry season, which had Dehalogenimonas as the major inhabitant (6.08%). In conclusion, plant species and season were found to be the main drivers of microbial community structure in Cape fynbos, with the wet season being more dominant in shaping microbial diversity relative to the dry season. Wiborgia obcordata had a greater influence on microbial community structure than the other four legume species. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=16S%20rDNA" title="16S rDNA">16S rDNA</a>, <a href="https://publications.waset.org/abstracts/search?q=Cape%20fynbos" title=" Cape fynbos"> Cape fynbos</a>, <a href="https://publications.waset.org/abstracts/search?q=endemic%20legumes" title=" endemic legumes"> endemic legumes</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome" title=" microbiome"> microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere" title=" rhizosphere"> rhizosphere</a> </p> <a href="https://publications.waset.org/abstracts/140574/rhizosphere-microbial-communities-in-fynbos-endemic-legumes-during-wet-and-dry-seasons" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/140574.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">150</span> Metagenomics, Urinary Microbiome, and Chronic Prostatitis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elmira%20Davasaz%20Tabrizi">Elmira Davasaz Tabrizi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mushteba%20Sevil"> Mushteba Sevil</a>, <a href="https://publications.waset.org/abstracts/search?q=Ercan%20Arican"> Ercan Arican</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Directly or indirectly, the human microbiome, or the population of bacteria and other microorganisms living in the human body, has been linked with human health. Various research has examined the connection with both illness status and the composition of the human microbiome, even though current studies indicate that the gut microbiome influences the mucosa and immune system. A significant amount of effort is being put into understanding the human microbiome's natural history in terms of health outcomes while also expanding our comprehension of the molecular connections between the microbiome and the host. To maintain health and avoid disease, these efforts ultimately seek to find efficient methods for recovering human microbial communities. This review article describes how the human microbiome leads to chronic diseases and discusses evidence for an important significant disorder that is related to the microbiome and linked to prostate cancer: chronic prostatitis (CP). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urobiome" title="urobiome">urobiome</a>, <a href="https://publications.waset.org/abstracts/search?q=chronic%20prostatitis" title=" chronic prostatitis"> chronic prostatitis</a>, <a href="https://publications.waset.org/abstracts/search?q=metagenomic" title=" metagenomic"> metagenomic</a>, <a href="https://publications.waset.org/abstracts/search?q=urinary%20microbiome" title=" urinary microbiome"> urinary microbiome</a> </p> <a href="https://publications.waset.org/abstracts/159463/metagenomics-urinary-microbiome-and-chronic-prostatitis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159463.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">76</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">149</span> Ecological Engineering Through Organic Amendments: Enhancing Pest Regulation, Beneficial Insect Populations, and Rhizosphere Microbial Diversity in Cabbage Ecosystems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ravi%20Prakash%20Maurya">Ravi Prakash Maurya</a>, <a href="https://publications.waset.org/abstracts/search?q=Munaswamyreddygari%20Sreedhar"> Munaswamyreddygari Sreedhar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present studies on ecological engineering through soil amendments in cabbage crops for insect pests regulation were conducted at G. B. Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, Uttarakhand, India. Ten treatments viz., Farm Yard Manure (FYM), Neem cake (NC), Vermicompost (VC), Poultry manure (PM), PM+FYM, NC+VC, NC+PM, VC+FYM, Urea+ SSP+MOP (Standard Check) and Untreated Check were evaluated to study the effect of these amendments on the population of insect pests, natural enemies and the microbial community of the rhizosphere in the cabbage crop ecosystem. The results revealed that most of the cabbage pests, viz., aphids, head borer, gram pod borer, and armyworm, were more prevalent in FYM, followed by PM and NC-treated plots. The best cost-benefit ratio was found in PM + FYM treatment, which was 1: 3.62, while the lowest, 1: 0.97, was found in the VC plot. The population of natural enemies like spiders, coccinellids, syrphids, and other hymenopterans and dipterans was also found to be prominent in organic plots, namely FYM, followed by VC and PM plots. Diversity studies on organic manure-treated plots were also carried out, which revealed a total of nine insect orders (Hymenoptera, Hemiptera, Lepidoptera, Coleoptera, Neuroptera, Diptera, Orthoptera, Dermaptera, Thysanoptera, and one arthropodan class, Arachnida) in different treatments. The Simpson Diversity Index was also studied and found to be maximum in FYM plots. The metagenomic analysis of the rhizosphere microbial community revealed that the highest bacterial count was found in NC+PM plot as compared to standard check and untreated check. The diverse microbial population contributes to soil aggregation and stability. Healthier soil structures can improve water retention, aeration, and root penetration, which are all crucial for crop health. The further analysis also identified a total of 39 bacterial phyla, among which the most abundant were Actinobacteria, Firmicutes, and the SAR324 clade. Actinobacteria and Firmicutes are known for their roles in decomposing organic matter and mineralizing nutrients. Their highest abundance suggests improved nutrient cycling and availability, which can directly enhance plant growth. Hence, organic amendments in cabbage farming can transform the rhizosphere microbiome, reduce pest pressure, and foster populations of beneficial insects, leading to healthier crops and a more sustainable agricultural ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cabbage%20ecosystem" title="cabbage ecosystem">cabbage ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=organic%20amendments" title=" organic amendments"> organic amendments</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere%20microbiome" title=" rhizosphere microbiome"> rhizosphere microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=pest%20and%20natural%20enemy%20diversity" title=" pest and natural enemy diversity"> pest and natural enemy diversity</a> </p> <a href="https://publications.waset.org/abstracts/193385/ecological-engineering-through-organic-amendments-enhancing-pest-regulation-beneficial-insect-populations-and-rhizosphere-microbial-diversity-in-cabbage-ecosystems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193385.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">13</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">148</span> Plant Microbiota of Coastal Halophyte Salicornia Ramossisima</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Isabel%20N.%20Sierra-Garcia">Isabel N. Sierra-Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20J.%20Ferreira"> Maria J. Ferreira</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandro%20Figuereido"> Sandro Figuereido</a>, <a href="https://publications.waset.org/abstracts/search?q=Newton%20Gomes"> Newton Gomes</a>, <a href="https://publications.waset.org/abstracts/search?q=Helena%20Silva"> Helena Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=Angela%20Cunha"> Angela Cunha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Plant-associated microbial communities are considered crucial in the adaptation of halophytes to coastal environments. The plant microbiota can be horizontally acquired from the environment or vertically transmitted from generation to generation via seeds. Recruiting of the microbial communities by the plant is affected by geographical location, soil source, host genotype, and cultivation practice. There is limited knowledge reported on the microbial communities in halophytes the influence of biotic and abiotic factors. In this work, the microbiota associated with the halophyte Salicornia ramosissima was investigated to determine whether the structure of bacterial communities is influenced by host genotype or soil source. For this purpose, two contrasting sites where S. ramosissima is established in the estuarine system of the Ria de Aveiro were investigated. One site corresponds to a natural salt marsh where S. ramosissima plants are present (wild plants), and the other site is a former salt pan that nowadays are subjected to intensive crop production of S. ramosissima (crop plants). Bacterial communities from the rhizosphere, seeds and root endosphere of S. ramossisima from both sites were investigated by sequencing bacterial 16S rRNA gene using the Illumina MiSeq platform. The analysis of the sequences showed that the three plant-associated compartments, rhizosphere, root endosphere, and seed endosphere, harbor distinct microbiomes. However, bacterial richness and diversity were higher in seeds of wild plants, followed by rhizosphere in both sites, while seeds in the crop site had the lowest diversity. Beta diversity measures indicated that bacterial communities in root endosphere and seeds were more similar in both wild and crop plants in contrast to rhizospheres that differed by local, indicating that the recruitment of the similar bacterial communities by the plant genotype is active in regard to the site. Moreover, bacterial communities from the root endosphere and rhizosphere were phylogenetically more similar in both sites, but the phylogenetic composition of seeds in wild and crop sites was distinct. These results indicate that cultivation practices affect the seed microbiome. However, minimal vertical transmission of bacteria from seeds to adult plants is expected. Seeds from the crop site showed higher abundances of Kushneria and Zunongwangia genera. Bacterial members of the classes Alphaprotebacteria and Bacteroidia were the most ubiquitous across sites and compartments and might encompass members of the core microbiome. These findings indicate that bacterial communities associated with S. ramosissima are more influenced by host genotype rather than local abiotic factors or cultivation practices. This study provides a better understanding of the composition of the plant microbiota in S. ramosissima , which is essential to predict the interactions between plant and associated microbial communities and their effects on plant health. This knowledge is useful to the manipulations of these microbial communities to enhance the health and productivity of this commercially important plant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=halophytes" title="halophytes">halophytes</a>, <a href="https://publications.waset.org/abstracts/search?q=plant%20microbiome" title=" plant microbiome"> plant microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=Salicornia%20ramosissima" title=" Salicornia ramosissima"> Salicornia ramosissima</a>, <a href="https://publications.waset.org/abstracts/search?q=agriculture" title=" agriculture"> agriculture</a> </p> <a href="https://publications.waset.org/abstracts/142448/plant-microbiota-of-coastal-halophyte-salicornia-ramossisima" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142448.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">169</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">147</span> Isolation and Characterization of Indigenous Rhizosphere Bacteria Producing Gibberellin Acid from Local Soybeans in Three Different Areas of South Sulawesi</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asmiaty%20Sahur">Asmiaty Sahur</a>, <a href="https://publications.waset.org/abstracts/search?q=Ambo%20Ala"> Ambo Ala</a>, <a href="https://publications.waset.org/abstracts/search?q=Baharuddin%20Patanjengi"> Baharuddin Patanjengi</a>, <a href="https://publications.waset.org/abstracts/search?q=Elkawakib%20Syam%27un"> Elkawakib Syam'un</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aimed to isolate and characterize the indigenous Rhizosphere bacteria producing Gibberellin Acid as plant growth isolated from local soybean of three different areas in South Sulawesi, Indonesia. Several soil samples of soybean plants were collected from the Rhizosphere of local soybeans in three different areas of South Sulawesi such as Soppeng, Bone and Takalar. There were 56 isolates of bacteria were isolated and grouped into gram-positive bacteria and gram negative bacteria .There are 35 isolates produce a thick slime or slimy when cultured on media Natrium Broth and the remaining of those produced spores. The results showed that of potential bacterial isolated produced Gibberellin Acid in high concentration. The best isolate of Rhizosphere bacteria for the production of Gibberellin Acid is with concentration 2%. There are 4 isolates that had higher concentration are AKB 19 (4.67 mg/ml) followed by RKS 17 (3.80 mg/ml), RKS 25 (3.70 mg / ml) and RKS 24 (3.29 mg/ml) respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rhizosphere" title="rhizosphere">rhizosphere</a>, <a href="https://publications.waset.org/abstracts/search?q=bacteria" title=" bacteria"> bacteria</a>, <a href="https://publications.waset.org/abstracts/search?q=gibberellin%20acid" title=" gibberellin acid"> gibberellin acid</a>, <a href="https://publications.waset.org/abstracts/search?q=soybeans" title=" soybeans"> soybeans</a> </p> <a href="https://publications.waset.org/abstracts/35624/isolation-and-characterization-of-indigenous-rhizosphere-bacteria-producing-gibberellin-acid-from-local-soybeans-in-three-different-areas-of-south-sulawesi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35624.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">236</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">146</span> Biodiversity of Plants Rhizosphere and Rhizoplane Bacteria in the Presence of Petroleum Hydrocarbons</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Togzhan%20D.%20Mukasheva">Togzhan D. Mukasheva</a>, <a href="https://publications.waset.org/abstracts/search?q=Anel%20A.%20Omirbekova"> Anel A. Omirbekova</a>, <a href="https://publications.waset.org/abstracts/search?q=Raikhan%20S.%20Sydykbekova"> Raikhan S. Sydykbekova</a>, <a href="https://publications.waset.org/abstracts/search?q=Ramza%20Zh.%20Berzhanova"> Ramza Zh. Berzhanova</a>, <a href="https://publications.waset.org/abstracts/search?q=Lyudmila%20V.%20Ignatova"> Lyudmila V. Ignatova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Following plants-barley (Hordeum sativum), alfalfa (Medicago sativa), grass mixture (red fescue-75%, long-term ryegrass - 20% Kentucky bluegrass - 10%), oilseed rape (Brassica napus biennis), resistant to growth in the contaminated soil with oil content of 15.8 g / kg 25.9 g / kg soil were used. Analysis of the population showed that the oil pollution reduces the number of bacteria in the rhizosphere and rhizoplane of plants and enhances the amount of spore-forming bacteria and saprotrophic micromycetes. It was shown that regardless of the plant, dominance of Pseudomonas and Bacillus genera bacteria was typical for the rhizosphere and rhizoplane of plants. The frequency of bacteria of these genera was more than 60%. Oil pollution changes the ratio of occurrence of various types of bacteria in the rhizosphere and rhizoplane of plants. Besides the Pseudomonas and Bacillus genera, in the presence of hydrocarbons in the root zone of plants dominant and most typical were the representatives of the Mycobacterium and Rhodococcus genera. Together the number was between 62% to 72%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pollution" title="pollution">pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=root%20system" title=" root system"> root system</a>, <a href="https://publications.waset.org/abstracts/search?q=micromycetes" title=" micromycetes"> micromycetes</a>, <a href="https://publications.waset.org/abstracts/search?q=identification" title=" identification"> identification</a> </p> <a href="https://publications.waset.org/abstracts/10208/biodiversity-of-plants-rhizosphere-and-rhizoplane-bacteria-in-the-presence-of-petroleum-hydrocarbons" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10208.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">500</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">145</span> The Response of Soil Biodiversity to Agriculture Practice in Rhizosphere</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yan%20Wang">Yan Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Guowei%20Chen"> Guowei Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Gang%20Wang"> Gang Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Soil microbial diversity is one of the important parameters to assess the soil fertility and soil health, even stability of the ecosystem. In this paper, we aim to reveal the soil microbial difference in rhizosphere and root zone, even to pick the special biomarkers influenced by the long term tillage practices, which included four treatments of no-tillage, ridge tillage, continuous cropping with corn and crop rotation with corn and soybean. Here, high-throughput sequencing was performed to investigate the difference of bacteria in rhizosphere and root zone. The results showed a very significant difference of species richness between rhizosphere and root zone soil at the same crop rotation system (p < 0.01), and also significant difference of species richness was found between continuous cropping with corn and corn-soybean rotation treatment in the rhizosphere statement, no-tillage and ridge tillage in root zone soils. Implied by further beta diversity analysis, both tillage methods and crop rotation systems influence the soil microbial diversity and community structure in varying degree. The composition and community structure of microbes in rhizosphere and root zone soils were clustered distinctly by the beta diversity (p < 0.05). Linear discriminant analysis coupled with effect size (LEfSe) analysis of total taxa in rhizosphere picked more than 100 bacterial taxa, which were significantly more abundant than that in root zone soils, whereas the number of biomarkers was lower between the continuous cropping with corn and crop rotation treatment, the same pattern was found at no-tillage and ridge tillage treatment. Bacterial communities were greatly influenced by main environmental factors in large scale, which is the result of biological adaptation and acclimation, hence it is beneficial for optimizing agricultural practices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tillage%20methods" title="tillage methods">tillage methods</a>, <a href="https://publications.waset.org/abstracts/search?q=biomarker" title=" biomarker"> biomarker</a>, <a href="https://publications.waset.org/abstracts/search?q=biodiversity" title=" biodiversity"> biodiversity</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere" title=" rhizosphere"> rhizosphere</a> </p> <a href="https://publications.waset.org/abstracts/99559/the-response-of-soil-biodiversity-to-agriculture-practice-in-rhizosphere" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99559.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">163</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">144</span> Liquid Biopsy Based Microbial Biomarker in Coronary Artery Disease Diagnosis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eyup%20Ozkan">Eyup Ozkan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ozkan%20U.%20Nalbantoglu"> Ozkan U. Nalbantoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Aycan%20Gundogdu"> Aycan Gundogdu</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehmet%20Hora"> Mehmet Hora</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Emre%20Onuk"> A. Emre Onuk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The human microbiome has been associated with cardiological conditions and this relationship is becoming to be defined beyond the gastrointestinal track. In this study, we investigate the alteration in circulatory microbiota in the context of Coronary Artery Disease (CAD). We received circulatory blood samples from suspected CAD patients and maintain 16S ribosomal RNA sequencing to identify each patient’s microbiome. It was found that Corynebacterium and Methanobacteria genera show statistically significant differences between healthy and CAD patients. The overall biodiversities between the groups were observed to be different revealed by machine learning classification models. We also achieve and demonstrate the performance of a diagnostic method using circulatory blood microbiome-based estimation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coronary%20artery%20disease" title="coronary artery disease">coronary artery disease</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20microbiome" title=" blood microbiome"> blood microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=angiography" title=" angiography"> angiography</a>, <a href="https://publications.waset.org/abstracts/search?q=next-generation%20sequencing" title=" next-generation sequencing"> next-generation sequencing</a> </p> <a href="https://publications.waset.org/abstracts/144219/liquid-biopsy-based-microbial-biomarker-in-coronary-artery-disease-diagnosis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144219.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">157</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">143</span> Microbiome Role in Tumor Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chro%20Kavian">Chro Kavian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The studies conducted show that cancer is a disease caused by populations of microbes, a notion gaining traction as the interaction between the human microbiome and the tumor microenvironment (TME) increasingly shows how environment and microbes dictate the progress and treatment of neoplastic diseases. A person’s human microbiome is defined as a collection of bacteria, fungi, viruses, and other microorganisms whose structure and composition influence biological processes like immune system modulation and nutrient metabolism, which, in turn, affect how susceptible a person is to neoplastic diseases, and response to different therapies. Recent reports demonstrated the influence specific microbiome bacterial populations have on the TME, thereby altering tumoral behaviors and the TME’s contributing factors that impact patients' lives. In addition, gut microbes and their SCFA products are important determinants of the inflammatory landscape of tumors and augment anti-tumor immunity, which can influence immunotherapy outcomes. Studies have also found that dysbiosis, or microbial imbalance, correlates with biological processes such as cancer progression, metastasis, and therapy resistance, leading scientists to explore the use of microbiome deficiencies as adjunctive approaches to chemotherapy and other, more traditional treatments. Nonetheless, mental health practitioners struggling to comprehend the existent gap between cancer patients with pronounced resolutive capabilities and the profound clinical impact Microbiome-targeted cancer therapy has been proven to possess. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microbiome" title="microbiome">microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer" title=" cancer"> cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=tumor" title=" tumor"> tumor</a>, <a href="https://publications.waset.org/abstracts/search?q=immune%20system" title=" immune system"> immune system</a> </p> <a href="https://publications.waset.org/abstracts/193827/microbiome-role-in-tumor-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193827.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">19</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">142</span> Effect of Chemical Fertilizer on Plant Growth-Promoting Rhizobacteria in Wheat</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tessa%20E.%20Reid">Tessa E. Reid</a>, <a href="https://publications.waset.org/abstracts/search?q=Vanessa%20N.%20Kavamura"> Vanessa N. Kavamura</a>, <a href="https://publications.waset.org/abstracts/search?q=Maider%20Abadie"> Maider Abadie</a>, <a href="https://publications.waset.org/abstracts/search?q=Adriana%20Torres-Ballesteros"> Adriana Torres-Ballesteros</a>, <a href="https://publications.waset.org/abstracts/search?q=Mark%20Pawlett"> Mark Pawlett</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20M.%20Clark"> Ian M. Clark</a>, <a href="https://publications.waset.org/abstracts/search?q=Jim%20Harris"> Jim Harris</a>, <a href="https://publications.waset.org/abstracts/search?q=Tim%20Mauchline"> Tim Mauchline</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The deleterious effect of chemical fertilizer on rhizobacterial diversity has been well documented using 16S rRNA gene amplicon sequencing and predictive metagenomics. Biofertilization is a cost-effective and sustainable alternative; improving strategies depends on isolating beneficial soil microorganisms. Although culturing is widespread in biofertilization, it is unknown whether the composition of cultured isolates closely mirrors native beneficial rhizobacterial populations. This study aimed to determine the relative abundance of culturable plant growth-promoting rhizobacteria (PGPR) isolates within total soil DNA and how potential PGPR populations respond to chemical fertilization in a commercial wheat variety. It was hypothesized that PGPR will be reduced in fertilized relative to unfertilized wheat. Triticum aestivum cv. Cadenza seeds were sown in a nutrient depleted agricultural soil in pots treated with and without nitrogen-phosphorous-potassium (NPK) fertilizer. Rhizosphere and rhizoplane samples were collected at flowering stage (10 weeks) and analyzed by culture-independent (amplicon sequence variance (ASV) analysis of total rhizobacterial DNA) and -dependent (isolation using growth media) techniques. Rhizosphere- and rhizoplane-derived microbiota culture collections were tested for plant growth-promoting traits using functional bioassays. In general, fertilizer addition decreased the proportion of nutrient-solubilizing bacteria (nitrate, phosphate, potassium, iron and, zinc) isolated from rhizocompartments in wheat, whereas salt tolerant bacteria were not affected. A PGPR database was created from isolate 16S rRNA gene sequences and searched against total soil DNA, revealing that 1.52% of total community ASVs were identified as culturable PGPR isolates. Bioassays identified a higher proportion of PGPR in non-fertilized samples (rhizosphere (49%) and rhizoplane (91%)) compared to fertilized samples (rhizosphere (21%) and rhizoplane (19%)) which constituted approximately 1.95% and 1.25% in non-fertilized and fertilized total community DNA, respectively. The analyses of 16S rRNA genes and deduced functional profiles provide an in-depth understanding of the responses of bacterial communities to fertilizer; this study suggests that rhizobacteria, which potentially benefit plants by mobilizing insoluble nutrients in soil, are reduced by chemical fertilizer addition. This knowledge will benefit the development of more targeted biofertilization strategies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bacteria" title="bacteria">bacteria</a>, <a href="https://publications.waset.org/abstracts/search?q=fertilizer" title=" fertilizer"> fertilizer</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome" title=" microbiome"> microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizoplane" title=" rhizoplane"> rhizoplane</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere" title=" rhizosphere"> rhizosphere</a> </p> <a href="https://publications.waset.org/abstracts/132075/effect-of-chemical-fertilizer-on-plant-growth-promoting-rhizobacteria-in-wheat" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132075.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">141</span> The Metaproteomic Analysis of HIV Uninfected Exposed Infants’ Gut Microbiome to Help Understand Their Poor Health Statuses in An African Cohort</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tara%20Miller">Tara Miller</a>, <a href="https://publications.waset.org/abstracts/search?q=Tariq%20Ganief"> Tariq Ganief</a>, <a href="https://publications.waset.org/abstracts/search?q=Jonathan%20Blackburn"> Jonathan Blackburn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Millions of babies are still born to HIV-infected mothers each year despite the ramped-up HAART use. However, these infants are HIV uninfected but exposed, which is now a growing population that has weakened immune systems and poorer outcomes. Due to HIV exposure and possible ARV exposure during pregnancy and breastfeeding, these infants are believed to have altered immune responses and microbiomes when compared to their healthy counterparts. The gut microbiome roles an important role in infant development, specifically in the immune system. Research has shown these HIV-exposed, uninfected infants have weaker immune responses to their neonate vaccines, and in developing countries, this leaves them vulnerable to opportunistic disease. By gaining a deeper understanding of the gut microbiome and the products of the microbes via metaproteomic analysis, we can hopefully understand and improve the immune system and health of these infants. To investigate the metaproteome of the infants’ guts, mass spectrometry will be used, followed by data analysis using DIA-NN. The hypothesized results are that the HIV-exposed, uninfected infants have an altered microbiome compared to their healthy counterparts. Additionally, the differences found are hypothesized to be involved with inflammation which would contribute to the poor health of the infants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=HIV" title="HIV">HIV</a>, <a href="https://publications.waset.org/abstracts/search?q=mass%20spectrometry" title=" mass spectrometry"> mass spectrometry</a>, <a href="https://publications.waset.org/abstracts/search?q=metaproteomics" title=" metaproteomics"> metaproteomics</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome" title=" microbiome"> microbiome</a> </p> <a href="https://publications.waset.org/abstracts/159308/the-metaproteomic-analysis-of-hiv-uninfected-exposed-infants-gut-microbiome-to-help-understand-their-poor-health-statuses-in-an-african-cohort" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159308.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">91</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">140</span> The Comparison Study of Human Microbiome in Chronic Rhinosinusitis between Adults and Children</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Il%20Ho%20Park">Il Ho Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Joong%20Seob%20Lee"> Joong Seob Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Sung%20Hun%20Kang"> Sung Hun Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jae-Min%20Shin"> Jae-Min Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Il%20Seok%20Park"> Il Seok Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Seok%20Min%20Hong"> Seok Min Hong</a>, <a href="https://publications.waset.org/abstracts/search?q=Seok%20Jin%20Hong"> Seok Jin Hong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: The human microbiota is the aggregate of microorganisms, and the bacterial microbiome of the human digestive tract contributes to both health and disease. In health, bacteria are key components in the development of mucosal barrier function and in innate and adaptive immune responses, and they also work to suppress the establishment of pathogens. In human upper airway, the sinonasal microbiota might play an important role in chronic rhinosinusitis (CRS). The purpose of this study is to investigate the human upper airway microbiome in CRS patients and to compare the sinonasal microbiome of adults with children. Materials and methods: A total of 19 samples from 19 patients (Group1; 9 CRS in children, aged 5 to 14 years versus Group 2; 10 CRS in adults aged 21 to 59 years) were examined. Swabs were collected from the middle meatus and/or anterior ethmoid region under general anesthesia during endoscopic sinus surgery or tonsillectomy. After DNA extraction from swab samples, we analysed bacterial microbiome consortia using 16s rRNA gene sequencing approach (the Illumina MiSeq platform). Results: In this study, relatively abundance of the six bacterial phyla and tremendous genus and species found in substantial amounts in the individual sinus swab samples, include Corynebacterium, Hemophilus, Moraxella, and Streptococcus species. Anaerobes like Fusobacterium and Bacteroides were abundantly present in the children group, Bacteroides and Propionibacterium were present in adults group. In genus, Haemophilus was the most common CRS microbiome in children and Corynebacterium was the most common CRS microbiome in adults. Conclusions: Our results show the diversity of human upper airway microbiome, and the findings will suggest that CRS is a polymicrobial infection. The Corynebacterium and Hemophilus may live as commensals on mucosal surfaces of sinus in the upper respiratory tract. The further study will be needed for analysis of microbiome-human interactions in upper airway and CRS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microbiome" title="microbiome">microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=upper%20airway" title=" upper airway"> upper airway</a>, <a href="https://publications.waset.org/abstracts/search?q=chronic%20rhinosinusitis" title=" chronic rhinosinusitis"> chronic rhinosinusitis</a>, <a href="https://publications.waset.org/abstracts/search?q=adult%20and%20children" title=" adult and children"> adult and children</a> </p> <a href="https://publications.waset.org/abstracts/101447/the-comparison-study-of-human-microbiome-in-chronic-rhinosinusitis-between-adults-and-children" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101447.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">126</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">139</span> A Study of Fecal Sludge Management in Auroville and Its Surrounding Villages in Tamilnadu, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Preethi%20Grace%20Theva%20Neethi%20Dhas">Preethi Grace Theva Neethi Dhas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A healthy human gut microbiome has commensal and symbiotic functions in digestion and is a decisive factor for human health. The soil microbiome is a crucial component in the ecosystem of soils and their health and resilience. Changes in soil microbiome are linked to human health. Ever since the industrial era, the human and the soil microbiome have been going through drastic changes. The soil microbiome has changed due to industrialization and extensive agricultural practices, whereas humans have less contact with soil and increased intake of highly processed foods, leading to changes in the human gut microbiome. Regenerating the soil becomes crucial in maintaining a healthy ecosystem. The nutrients, once obtained from the soil, need to be given back to the soil. Soil degradation needs to be addressed in effective ways, like adding organic nutrients back to the soil. Manure from animals and humans needs to be returned to the soil, which can complete the nutrient cycle in the soil. On the other hand, fecal sludge management (FSM) is a growing concern in many parts of the developing world. Hence, it becomes crucial to treat and reuse fecal sludge in a safe manner, i.e., low in risk to human health. Co-composting fecal sludge with organic wastes is a practice that allows the safe management of fecal sludge and the safe application of nutrients to the soil. This paper will discuss the possible impact of co-composting fecal sludge with coconut choir waste on the soil, water, and ecosystem at large. Impact parameters like nitrogen, phosphorus, and fecal coliforms will be analyzed. The overall impact of fecal sludge application on the soil will be researched and presented in this study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fecal%20sludge%20management" title="fecal sludge management">fecal sludge management</a>, <a href="https://publications.waset.org/abstracts/search?q=nutrient%20cycle" title=" nutrient cycle"> nutrient cycle</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20health" title=" soil health"> soil health</a>, <a href="https://publications.waset.org/abstracts/search?q=composting" title=" composting"> composting</a> </p> <a href="https://publications.waset.org/abstracts/175735/a-study-of-fecal-sludge-management-in-auroville-and-its-surrounding-villages-in-tamilnadu-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175735.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">76</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">138</span> Remodeling of Gut Microbiome of Pakistani Expats in China After Intermittent Fasting/Ramadan Fasting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hafiz%20Arbab%20Sakandar">Hafiz Arbab Sakandar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Time-restricted intermittent fasting (TRIF) impacts host’s physiology and health. Plenty of health benefits have been reported for TRIF in animal models. However, limited studies have been conducted on humans especially in underdeveloped economies. Here, we designed a study to investigate the impact of TRIF/Ramadan fasting (16:8) on the modulation of gut-microbiome structure, metabolic pathways, and predicted metabolites and explored the correlation among them at different time points (during and after the month of Ramadan) in Pakistani Expats living in China. We observed different trends of Shannon-Wiener index in different subjects; however, all subjects showed substantial change in bacterial diversity with the progression of TRIF. Moreover, the changes in gut microbial structure by the end of TRIF were higher vis-a-vis in the beginning, significant difference was observed among individuals. Additionally, metabolic pathways analysis revealed that amino acid, carbohydrate and energy metabolism, glycan biosynthesis metabolism of cofactors and vitamins were significantly affected by TRIF. Pyridoxamine, glutamate, citrulline, arachidonic acid, and short chain fatty acid showed substantial difference at different time points based on the predicted metabolism. In conclusion, these results contribute to further our understanding about the key relationship among, dietary intervention (TRIF), gut microbiome structure and function. The preliminary results from study demonstrate significant potential for elucidating the mechanisms underlying gut microbiome stability and enhancing the effectiveness of microbiome-tailored interventions among the Pakistani populace. Nonetheless, extensive, and rigorous large-scale research on the Pakistani population is necessary to expound on the association between diet, gut microbiome, and overall health. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gut%20microbiome" title="gut microbiome">gut microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=health" title=" health"> health</a>, <a href="https://publications.waset.org/abstracts/search?q=fasting" title=" fasting"> fasting</a>, <a href="https://publications.waset.org/abstracts/search?q=functionality" title=" functionality"> functionality</a> </p> <a href="https://publications.waset.org/abstracts/169806/remodeling-of-gut-microbiome-of-pakistani-expats-in-china-after-intermittent-fastingramadan-fasting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169806.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">75</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">137</span> Shift in the Rhizosphere Soil Fungal Community Associated with Root Rot Infection of Plukenetia Volubilis Linneo Caused by Fusarium and Rhizopus Species</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Constantine%20Uwaremwe">Constantine Uwaremwe</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenjie%20Bao"> Wenjie Bao</a>, <a href="https://publications.waset.org/abstracts/search?q=Bachir%20Goudia%20Daoura"> Bachir Goudia Daoura</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandhya%20Mishra"> Sandhya Mishra</a>, <a href="https://publications.waset.org/abstracts/search?q=Xianxian%20Zhang"> Xianxian Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Lingjie%20Shen"> Lingjie Shen</a>, <a href="https://publications.waset.org/abstracts/search?q=Shangwen%20Xia"> Shangwen Xia</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaodong%20Yang"> Xiaodong Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Plukenetia volubilis Linneo is an oleaginous plant belonging to the family Euphorbiaceae. Due to its seeds containing a high content of edible oil and rich in vitamins, P. volubilis is cultivated as an economical plant worldwide. However, the cultivation and growth of P. volubilis is challenged by phytopathogen invasion leading to production loss. Methods: In the current study, we tested the pathogenicity of fungal pathogens isolated from root rot infected P. volubilis plant tissues by inoculating them into healthy P. volubilis seedlings. Metagenomic sequencing was used to assess the shift in the fungal community of P. volubilis rhizosphere soil after root rot infection. Results: Four Fusarium isolates and two Rhizopus isolates were found to be root rot causative agents of P. volubilis as they induced typical root rot symptoms in healthy seedlings. The metagenomic sequencing data showed that root rot infection altered the rhizosphere fungal community. In root rot infected soil, the richness and diversity indices increased or decreased depending on pathogens. The four most abundant phyla across all samples were Ascomycota, Glomeromycota, Basidiomycota, and Mortierellomycota. In infected soil, the relative abundance of each phylum increased or decreased depending on the pathogen and functional taxonomic classification. Conclusions: Based on our results, we concluded that Fusarium and Rhizopus species cause root rot infection of P. volubilis. In root rot infected P. volubilis, the shift in the rhizosphere fungal community was pathogen-dependent. These findings may serve as a key point for a future study on the biocontrol of root rot of P. volubilis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fusarium%20spp." title="fusarium spp.">fusarium spp.</a>, <a href="https://publications.waset.org/abstracts/search?q=plukenetia%20volubilis%20l." title=" plukenetia volubilis l."> plukenetia volubilis l.</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizopus%20spp." title=" rhizopus spp."> rhizopus spp.</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere%20fungal%20community" title=" rhizosphere fungal community"> rhizosphere fungal community</a>, <a href="https://publications.waset.org/abstracts/search?q=root%20rot" title=" root rot"> root rot</a> </p> <a href="https://publications.waset.org/abstracts/187906/shift-in-the-rhizosphere-soil-fungal-community-associated-with-root-rot-infection-of-plukenetia-volubilis-linneo-caused-by-fusarium-and-rhizopus-species" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187906.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">43</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">136</span> Foodborne Pathogens in Different Types of Milk: From the Microbiome to Risk Assessment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pasquali%20Frederique">Pasquali Frederique</a>, <a href="https://publications.waset.org/abstracts/search?q=Manfreda%20Chiara"> Manfreda Chiara</a>, <a href="https://publications.waset.org/abstracts/search?q=Crippa%20Cecilia"> Crippa Cecilia</a>, <a href="https://publications.waset.org/abstracts/search?q=Indio%20Valentina"> Indio Valentina</a>, <a href="https://publications.waset.org/abstracts/search?q=Ianieri%20Adriana"> Ianieri Adriana</a>, <a href="https://publications.waset.org/abstracts/search?q=De%20Cesare%20Alessandra"> De Cesare Alessandra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Microbiological hazards can be transmitted to humans through milk. In this study, we compared the microbiome composition and presence of foodborne pathogens in organic milk (n=6), organic hay milk (n=6), standard milk (n=6) and high-quality milk (n=6). The milk samples were collected during six samplings between December 2022 to January 2023 and between April and May 2024 to take into account seasonal variations. The 24 milk samples were submitted to DNA extraction and library preparation before shotgun sequencing on the Illumina HiScan™ SQ System platform. The total sequencing output was 600 GB. In all the milk samples, the phyla with the highest relative abundances were Pseudomonadota, Bacillota, Ascomycota, Actinomycetota and Apicomplexa, while the most represented genera were Pseudomonas, Streptococcus, Geotrichum, Acinetobacter and Babesia. The alpha and beta diversity indexes showed a clear separation between the microbiome of high-quality milk and those of the other milk types. Moreover, in the high-quality milk, the relative abundance of Staphylococcus (4.4%), Campylobacter (4.5%), Bacillus (2.5%), Enterococcus (2.4%), Klebsiella (1.3%) and Escherichia (0 .7%) was significantly higher in comparison to other types of milk. On the contrary, the relative abundance of Geotrichum (0.5%) was significantly lower. The microbiome results collected in this study showed significant differences in terms of the relative abundance of bacteria genera, including foodborne pathogen species. These results should be incorporated into risk assessment models tailored to different types of milk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=raw%20milk" title="raw milk">raw milk</a>, <a href="https://publications.waset.org/abstracts/search?q=foodborne%20pathogens" title=" foodborne pathogens"> foodborne pathogens</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome" title=" microbiome"> microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a> </p> <a href="https://publications.waset.org/abstracts/188934/foodborne-pathogens-in-different-types-of-milk-from-the-microbiome-to-risk-assessment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188934.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">25</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">135</span> Blood Microbiome in Different Metabolic Types of Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Irina%20M.%20Kolesnikova">Irina M. Kolesnikova</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrey%20M.%20Gaponov"> Andrey M. Gaponov</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergey%20A.%20Roumiantsev"> Sergey A. Roumiantsev</a>, <a href="https://publications.waset.org/abstracts/search?q=Tatiana%20V.%20Grigoryeva"> Tatiana V. Grigoryeva</a>, <a href="https://publications.waset.org/abstracts/search?q=Dilyara%20R.%20Khusnutdinova"> Dilyara R. Khusnutdinova</a>, <a href="https://publications.waset.org/abstracts/search?q=Dilyara%20R.%20Kamaldinova"> Dilyara R. Kamaldinova</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20V.%20Shestopalov"> Alexander V. Shestopalov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background. Obese patients have unequal risks of metabolic disorders. It is accepted to distinguish between metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO). MUHO patients have a high risk of metabolic disorders, insulin resistance, and diabetes mellitus. Among the other things, the gut microbiota also contributes to the development of metabolic disorders in obesity. Obesity is accompanied by significant changes in the gut microbial community. In turn, bacterial translocation from the intestine is the basis for the blood microbiome formation. The aim was to study the features of the blood microbiome in patients with various metabolic types of obesity. Patients, materials, methods. The study included 116 healthy donors and 101 obese patients. Depending on the metabolic type of obesity, the obese patients were divided into subgroups with MHO (n=36) and MUHO (n=53). Quantitative and qualitative assessment of the blood microbiome was based on metagenomic analysis. Blood samples were used to isolate DNA and perform sequencing of the variable v3-v4 region of the 16S rRNA gene. Alpha diversity indices (Simpson index, Shannon index, Chao1 index, phylogenetic diversity, the number of observed operational taxonomic units) were calculated. Moreover, we compared taxa (phyla, classes, orders, and families) in terms of isolation frequency and the taxon share in the total bacterial DNA pool between different patient groups. Results. In patients with MHO, the characteristics of the alpha-diversity of the blood microbiome were like those of healthy donors. However, MUHO was associated with an increase in all diversity indices. The main phyla of the blood microbiome were Bacteroidetes, Firmicutes, Proteobacteria, and Actinobacteria. Cyanobacteria, TM7, Thermi, Verrucomicrobia, Chloroflexi, Acidobacteria, Planctomycetes, Gemmatimonadetes, and Tenericutes were found to be less significant phyla of the blood microbiome. Phyla Acidobacteria, TM7, and Verrucomicrobia were more often isolated in blood samples of patients with MUHO compared with healthy donors. Obese patients had a decrease in some taxonomic ranks (Bacilli, Caulobacteraceae, Barnesiellaceae, Rikenellaceae, Williamsiaceae). These changes appear to be related to the increased diversity of the blood microbiome observed in obesity. An increase of Lachnospiraceae, Succinivibrionaceae, Prevotellaceae, and S24-7 was noted for MUHO patients, which, apparently, is explained by a magnification in intestinal permeability. Conclusion. Blood microbiome differs in obese patients and healthy donors at class, order, and family levels. Moreover, the nature of the changes is determined by the metabolic type of obesity. MUHO linked to increased diversity of the blood microbiome. This appears to be due to increased microbial translocation from the intestine and non-intestinal sources. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blood%20microbiome" title="blood microbiome">blood microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20bacterial%20DNA" title=" blood bacterial DNA"> blood bacterial DNA</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolically%20healthy%20obesity" title=" metabolically healthy obesity"> metabolically healthy obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolically%20unhealthy%20obesity" title=" metabolically unhealthy obesity"> metabolically unhealthy obesity</a> </p> <a href="https://publications.waset.org/abstracts/145332/blood-microbiome-in-different-metabolic-types-of-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145332.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">164</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">134</span> Insights into Archaeological Human Sample Microbiome Using 16S rRNA Gene Sequencing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alisa%20Kazarina">Alisa Kazarina</a>, <a href="https://publications.waset.org/abstracts/search?q=Guntis%20Gerhards"> Guntis Gerhards</a>, <a href="https://publications.waset.org/abstracts/search?q=Elina%20Petersone-Gordina"> Elina Petersone-Gordina</a>, <a href="https://publications.waset.org/abstracts/search?q=Ilva%20Pole"> Ilva Pole</a>, <a href="https://publications.waset.org/abstracts/search?q=Viktorija%20Igumnova"> Viktorija Igumnova</a>, <a href="https://publications.waset.org/abstracts/search?q=Janis%20Kimsis"> Janis Kimsis</a>, <a href="https://publications.waset.org/abstracts/search?q=Valentina%20Capligina"> Valentina Capligina</a>, <a href="https://publications.waset.org/abstracts/search?q=Renate%20Ranka"> Renate Ranka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human body is inhabited by a vast number of microorganisms, collectively known as the human microbiome, and there is a tremendous interest in evolutionary changes in human microbial ecology, diversity and function. The field of paleomicrobiology, study of ancient human microbiome, is powered by modern techniques of Next Generation Sequencing (NGS), which allows extracting microbial genomic data directly from archaeological sample of interest. One of the major techniques is 16S rRNA gene sequencing, by which certain 16S rRNA gene hypervariable regions are being amplified and sequenced. However, some limitations of this method exist including the taxonomic precision and efficacy of different regions used. The aim of this study was to evaluate the phylogenetic sensitivity of different 16S rRNA gene hypervariable regions for microbiome studies in the archaeological samples. Towards this aim, archaeological bone samples and corresponding soil samples from each burial environment were collected in Medieval cemeteries in Latvia. The Ion 16S™ Metagenomics Kit targeting different 16S rRNA gene hypervariable regions was used for library construction (Ion Torrent technologies). Sequenced data were analysed by using appropriate bioinformatic techniques; alignment and taxonomic representation was done using Mothur program. Sequences of most abundant genus were further aligned to E. coli 16S rRNA gene reference sequence using MEGA7 in order to identify the hypervariable region of the segment of interest. Our results showed that different hypervariable regions had different discriminatory power depending on the groups of microbes, as well as the nature of samples. On the basis of our results, we suggest that wider range of primers used can provide more accurate recapitulation of microbial communities in archaeological samples. Acknowledgements. This work was supported by the ERAF grant Nr. 1.1.1.1/16/A/101. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=16S%20rRNA%20gene" title="16S rRNA gene">16S rRNA gene</a>, <a href="https://publications.waset.org/abstracts/search?q=ancient%20human%20microbiome" title=" ancient human microbiome"> ancient human microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=archaeology" title=" archaeology"> archaeology</a>, <a href="https://publications.waset.org/abstracts/search?q=bioinformatics" title=" bioinformatics"> bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=genomics" title=" genomics"> genomics</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome" title=" microbiome"> microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=molecular%20biology" title=" molecular biology"> molecular biology</a>, <a href="https://publications.waset.org/abstracts/search?q=next-generation%20sequencing" title=" next-generation sequencing"> next-generation sequencing</a> </p> <a href="https://publications.waset.org/abstracts/78646/insights-into-archaeological-human-sample-microbiome-using-16s-rrna-gene-sequencing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78646.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">190</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">133</span> Analysis of the Lung Microbiome in Cystic Fibrosis Patients Using 16S Sequencing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manasvi%20Pinnaka">Manasvi Pinnaka</a>, <a href="https://publications.waset.org/abstracts/search?q=Brianna%20Chrisman"> Brianna Chrisman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cystic fibrosis patients often develop lung infections that range anywhere in severity from mild to life-threatening due to the presence of thick and sticky mucus that fills their airways. Since many of these infections are chronic, they not only affect a patient’s ability to breathe but also increase the chances of mortality by respiratory failure. With a publicly available dataset of DNA sequences from bacterial species in the lung microbiome of cystic fibrosis patients, the correlations between different microbial species in the lung and the extent of deterioration of lung function were investigated. 16S sequencing technologies were used to determine the microbiome composition of the samples in the dataset. For the statistical analyses, referencing helped distinguish between taxonomies, and the proportions of certain taxa relative to another were determined. It was found that the Fusobacterium, Actinomyces, and Leptotrichia microbial types all had a positive correlation with the FEV1 score, indicating the potential displacement of these species by pathogens as the disease progresses. However, the dominant pathogens themselves, including Pseudomonas aeruginosa and Staphylococcus aureus, did not have statistically significant negative correlations with the FEV1 score as described by past literature. Examining the lung microbiology of cystic fibrosis patients can help with the prediction of the current condition of lung function, with the potential to guide doctors when designing personalized treatment plans for patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bacterial%20infections" title="bacterial infections">bacterial infections</a>, <a href="https://publications.waset.org/abstracts/search?q=cystic%20fibrosis" title=" cystic fibrosis"> cystic fibrosis</a>, <a href="https://publications.waset.org/abstracts/search?q=lung%20microbiome" title=" lung microbiome"> lung microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=16S%20sequencing" title=" 16S sequencing"> 16S sequencing</a> </p> <a href="https://publications.waset.org/abstracts/161103/analysis-of-the-lung-microbiome-in-cystic-fibrosis-patients-using-16s-sequencing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161103.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">99</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">132</span> Changes in the fecal Microbiome of Periparturient Dairy Cattle and Associations with the Onset of Salmonella Shedding</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lohendy%20Munoz-Vargas">Lohendy Munoz-Vargas</a>, <a href="https://publications.waset.org/abstracts/search?q=Stephen%20O.%20Opiyo"> Stephen O. Opiyo</a>, <a href="https://publications.waset.org/abstracts/search?q=Rose%20Digianantonio"> Rose Digianantonio</a>, <a href="https://publications.waset.org/abstracts/search?q=Michele%20L.%20Williams"> Michele L. Williams</a>, <a href="https://publications.waset.org/abstracts/search?q=Asela%20Wijeratne"> Asela Wijeratne</a>, <a href="https://publications.waset.org/abstracts/search?q=Gregory%20Habing"> Gregory Habing</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Non-typhoidal Salmonella enterica is a zoonotic pathogen with critical importance in animal and public health. The persistence of Salmonella on farms affects animal productivity and health, and represents a risk for food safety. The intestinal microbiota plays a fundamental role in the colonization and invasion of this ubiquitous microorganism. To overcome the colonization resistance imparted by the gut microbiome, Salmonella uses invasion strategies and the host inflammatory response to survive, proliferate, and establish infections with diverse clinical manifestations. Cattle serve as reservoirs of Salmonella, and periparturient cows have high prevalence of Salmonella shedding; however, to author`s best knowledge, little is known about the association between the gut microbiome and the onset of Salmonella shedding during the periparturient period. Thus, the objective of this study was to assess the association between changes in bacterial communities and the onset of Salmonella shedding in cattle approaching parturition. In a prospective cohort study, fecal samples from 98 dairy cows originating from four different farms were collected at four time points relative to calving (-3 wks, -1 wk, +1 wk, +3 wks). All 392 samples were cultured for Salmonella. Sequencing of the V4 region of the 16S rRNA gene using the Illumina platform was completed to evaluate the fecal microbiome in a selected sample subset. Analyses of microbial composition, diversity, and structure were performed according to time points, farm, and Salmonella onset status. Individual cow fecal microbiomes, predominated by Bacteroidetes, Firmicutes, Spirochaetes, and Proteobacteria phyla, significantly changed before and after parturition. Microbial communities from different farms were distinguishable based on multivariate analysis. Although there were significant differences in some bacterial taxa between Salmonella positive and negative samples, our results did not identify differences in the fecal microbial diversity or structure for cows with and without the onset of Salmonella shedding. These data suggest that determinants other than the significant changes in the fecal microbiome influence the periparturient onset of Salmonella shedding in dairy cattle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dairy%20cattle" title="dairy cattle">dairy cattle</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome" title=" microbiome"> microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=periparturient" title=" periparturient"> periparturient</a>, <a href="https://publications.waset.org/abstracts/search?q=Salmonella" title=" Salmonella"> Salmonella</a> </p> <a href="https://publications.waset.org/abstracts/95942/changes-in-the-fecal-microbiome-of-periparturient-dairy-cattle-and-associations-with-the-onset-of-salmonella-shedding" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95942.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">173</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">131</span> Effect of Fertilization and Combined Inoculation with Azospirillum brasilense and Pseudomonas fluorescens on Rhizosphere Microbial Communities of Avena sativa (Oats) and Secale Cereale (Rye) Grown as Cover Crops</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jhovana%20Silvia%20Escobar%20Ortega">Jhovana Silvia Escobar Ortega</a>, <a href="https://publications.waset.org/abstracts/search?q=Ines%20Eugenia%20Garcia%20De%20Salamone"> Ines Eugenia Garcia De Salamone</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cover crops are an agri-technological alternative to improve all properties of soils. Cover crops such as oats and rye could be used to reduce erosion and favor system sustainability when they are grown in the same agricultural cycle of the soybean crop. This crop is very profitable but its low contribution of easily decomposable residues, due to its low C/N ratio, leaves the soil exposed to erosive action and raises the need to reduce its monoculture. Furthermore, inoculation with the plant growth promoting rhizobacteria contributes to the implementation, development and production of several cereal crops. However, there is little information on its effects on forage crops which are often used as cover crops to improve soil quality. In order to evaluate the effect of combined inoculation with Azospirillum brasilense and Pseudomonas fluorescens on rhizosphere microbial communities, field experiments were conducted in the west of Buenos Aires province, Argentina, with a split-split plot randomized complete block factorial design with three replicates. The factors were: type of cover crop, inoculation and fertilization. In the main plot two levels of fertilization 0 and 7 40-0-5 (NPKS) were established at sowing. Rye (Secale cereale cultivar Quehué) and oats (Avena sativa var Aurora.) were sown in the subplots. In the sub-subplots two inoculation treatments are applied without and with application of a combined inoculant with A. brasilense and P. fluorescens. Due to the growth of cover crops has to be stopped usually with the herbicide glyphosate, rhizosphere soil of 0-20 and 20-40 cm layers was sampled at three sampling times which were: before glyphosate application (BG), a month after glyphosate application (AG) and at soybean harvest (SH). Community level of physiological profiles (CLPP) and Shannon index of microbial diversity (H) were obtained by multivariate analysis of Principal Components. Also, the most probable number (MPN) of nitrifiers and cellulolytics were determined using selective liquid media for each functional group. The CLPP of rhizosphere microbial communities showed significant differences between sampling times. There was not interaction between sampling times and both, types of cover crops and inoculation. Rhizosphere microbial communities of samples obtained BG had different CLPP with respect to the samples obtained in the sampling times AG and SH. Fertilizer and depth of sampling also caused changes in the CLPP. The H diversity index of rhizosphere microbial communities of rye in the sampling time BG were higher than those associated with oats. The MPN of both microbial functional types was lower in the deeper layer since these microorganisms are mostly aerobic. The MPN of nitrifiers decreased in rhizosphere of both cover crops only AG. At the sampling time BG, the NMP of both microbial types were larger than those obtained for AG and SH. This may mean that the glyphosate application could cause fairly permanent changes in these microbial communities which can be considered bio-indicators of soil quality. Inoculation and fertilizer inputs could be included to improve management of these cover crops because they can have a significant positive effect on the sustainability of the agro-ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=community%20level%20of%20physiological%20profiles" title="community level of physiological profiles">community level of physiological profiles</a>, <a href="https://publications.waset.org/abstracts/search?q=microbial%20diversity" title=" microbial diversity"> microbial diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=plant%20growth%20promoting%20rhizobacteria" title=" plant growth promoting rhizobacteria"> plant growth promoting rhizobacteria</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere%20microbial%20communities" title=" rhizosphere microbial communities"> rhizosphere microbial communities</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20quality" title=" soil quality"> soil quality</a>, <a href="https://publications.waset.org/abstracts/search?q=system%20sustainability" title=" system sustainability"> system sustainability</a> </p> <a href="https://publications.waset.org/abstracts/68602/effect-of-fertilization-and-combined-inoculation-with-azospirillum-brasilense-and-pseudomonas-fluorescens-on-rhizosphere-microbial-communities-of-avena-sativa-oats-and-secale-cereale-rye-grown-as-cover-crops" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68602.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">404</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">130</span> Effect of Radiotherapy/Chemotherapy Protocol on the Gut Microbiome in Pediatric Cancer Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nourhan%20G.%20Sahly">Nourhan G. Sahly</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Moustafa"> Ahmed Moustafa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20S.%20Zaghloul"> Mohamed S. Zaghloul</a>, <a href="https://publications.waset.org/abstracts/search?q=Tamer%20Z.%20Salem"> Tamer Z. Salem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The gut microbiome plays important roles in the human body that includes but not limited to digestion, immunity, homeostasis and response to some drugs such as chemotherapy and immunotherapy. Its role has also been linked to radiotherapy and associated gastrointestinal injuries, where the microbial dysbiosis could be the driving force for dose determination or the complete suspension of the treatment protocol. Linking the gut microbiota alterations to different cancer treatment protocols is not easy especially in humans. However, enormous effort was exerted to understand this complex relationship. In the current study, we described the gut microbiota dysbiosis in pediatric sarcoma patients, in the pelvic region, with regards to radiotherapy and antibiotics. Fecal samples were collected as a source of microbial DNA for which the gene encoding for V3-V5 regions of 16S rRNA was sequenced. Two of the three patients understudy had experienced an increase in alpha diversity post exposure to 50.4 Gy. Although phylum Firmicutes overall relative abundance has generally decreased, six of its taxa increased in all patients. Our results may indicate the possibility of radiosensitivity or enrichment of the antibiotic resistance of the elevated taxa. Further studies are needed to describe the extent of radiosensitivity with regards to antibiotic resistance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=combined%20radiotherapy%20and%20chemotherapy" title="combined radiotherapy and chemotherapy">combined radiotherapy and chemotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=gut%20microbiome" title=" gut microbiome"> gut microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=pediatric%20cancer" title=" pediatric cancer"> pediatric cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=radiosensitivity" title=" radiosensitivity"> radiosensitivity</a> </p> <a href="https://publications.waset.org/abstracts/99183/effect-of-radiotherapychemotherapy-protocol-on-the-gut-microbiome-in-pediatric-cancer-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">129</span> Analyzing Emerging Scientific Domains in Biomedical Discourse: Case Study Comparing Microbiome, Metabolome, and Metagenome Research in Scientific Articles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kenneth%20D.%20Aiello">Kenneth D. Aiello</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Simeone"> M. Simeone</a>, <a href="https://publications.waset.org/abstracts/search?q=Manfred%20Laubichler"> Manfred Laubichler</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is increasingly difficult to analyze emerging scientific fields as contemporary scientific fields are more dynamic, their boundaries are more porous, and the relational possibilities have increased due to Big Data and new information sources. In biomedicine, where funding, medical categories, and medical jurisdiction are determined by distinct boundaries on biomedical research fields and definitions of concepts, ambiguity persists between the microbiome, metabolome, and metagenome research fields. This ambiguity continues despite efforts by institutions and organizations to establish parameters on the core concepts and research discourses. Further, the explosive growth of microbiome, metabolome, and metagenomic research has led to unknown variation and covariation making application of findings across subfields or coming to a consensus difficult. This study explores the evolution and variation of knowledge within the microbiome, metabolome, and metagenome research fields related to ambiguous scholarly language and commensurable theoretical frameworks via a semantic analysis of key concepts and narratives. A computational historical framework of cultural evolution and large-scale publication data highlight the boundaries and overlaps between the competing scientific discourses surrounding the three research areas. The results of this study highlight how discourse and language distribute power within scholarly and scientific networks, specifically the power to set and define norms, central questions, methods, and knowledge. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biomedicine" title="biomedicine">biomedicine</a>, <a href="https://publications.waset.org/abstracts/search?q=conceptual%20change" title=" conceptual change"> conceptual change</a>, <a href="https://publications.waset.org/abstracts/search?q=history%20of%20science" title=" history of science"> history of science</a>, <a href="https://publications.waset.org/abstracts/search?q=philosophy%20of%20science" title=" philosophy of science"> philosophy of science</a>, <a href="https://publications.waset.org/abstracts/search?q=science%20of%20science" title=" science of science"> science of science</a>, <a href="https://publications.waset.org/abstracts/search?q=sociolinguistics" title=" sociolinguistics"> sociolinguistics</a>, <a href="https://publications.waset.org/abstracts/search?q=sociology%20of%20knowledge" title=" sociology of knowledge"> sociology of knowledge</a> </p> <a href="https://publications.waset.org/abstracts/119612/analyzing-emerging-scientific-domains-in-biomedical-discourse-case-study-comparing-microbiome-metabolome-and-metagenome-research-in-scientific-articles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119612.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">128</span> Predicting Potential Protein Therapeutic Candidates from the Gut Microbiome </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prasanna%20Ramachandran">Prasanna Ramachandran</a>, <a href="https://publications.waset.org/abstracts/search?q=Kareem%20Graham"> Kareem Graham</a>, <a href="https://publications.waset.org/abstracts/search?q=Helena%20Kiefel"> Helena Kiefel</a>, <a href="https://publications.waset.org/abstracts/search?q=Sunit%20Jain"> Sunit Jain</a>, <a href="https://publications.waset.org/abstracts/search?q=Todd%20DeSantis"> Todd DeSantis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Microbes that reside inside the mammalian GI tract, commonly referred to as the gut microbiome, have been shown to have therapeutic effects in animal models of disease. We hypothesize that specific proteins produced by these microbes are responsible for this activity and may be used directly as therapeutics. To speed up the discovery of these key proteins from the big-data metagenomics, we have applied machine learning techniques. Using amino acid sequences of known epitopes and their corresponding binding partners, protein interaction descriptors (PID) were calculated, making a positive interaction set. A negative interaction dataset was calculated using sequences of proteins known not to interact with these same binding partners. Using Random Forest and positive and negative PID, a machine learning model was trained and used to predict interacting versus non-interacting proteins. Furthermore, the continuous variable, cosine similarity in the interaction descriptors was used to rank bacterial therapeutic candidates. Laboratory binding assays were conducted to test the candidates for their potential as therapeutics. Results from binding assays reveal the accuracy of the machine learning prediction and are subsequently used to further improve the model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=protein-interactions" title="protein-interactions">protein-interactions</a>, <a href="https://publications.waset.org/abstracts/search?q=machine-learning" title=" machine-learning"> machine-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=metagenomics" title=" metagenomics"> metagenomics</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome" title=" microbiome"> microbiome</a> </p> <a href="https://publications.waset.org/abstracts/62501/predicting-potential-protein-therapeutic-candidates-from-the-gut-microbiome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62501.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">376</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">127</span> Unraveling the Gut-Brain Connection in Alcohol Use Disorder: Microbiome Dysbiosis and Probiotic Therapy as Emerging Treatment Pathways</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Noah%20Emil%20Glisik">Noah Emil Glisik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Alcohol use disorder (AUD) presents significant health challenges worldwide and is particularly concerning in Slovenia, where high alcohol consumption contributes to elevated rates of comorbidities, including depression and suicide. This review examines emerging evidence linking gut microbiome dysbiosis to AUD, exploring whether gut microbiome alterations merely result from alcohol use or actively contribute to the persistence of addiction. Additionally, it discusses how microbial changes may influence psychological symptoms, including anxiety and depressive states, which are closely associated with suicidality in this population. To address gaps in existing research, a systematic literature search was conducted through PubMed, Web of Science, and ScienceDirect. Inclusion criteria focused on studies examining gut microbiome changes in AUD, particularly those assessing gut-brain axis interactions and microbial species impacting inflammation and neurotransmitter pathways. Studies were excluded if they lacked peer review or did not specifically assess microbiome effects on mental health outcomes. A qualitative literature review approach was applied, synthesizing findings into key themes on microbial changes, neuroinflammatory pathways, and treatment implications. Data were organized into tables to provide a clear comparison of microbiota alterations across studies, highlighting specific bacterial species and their potential effects on AUD. This review emphasizes patterns in AUD patients, where reductions in anti-inflammatory species, such as Faecalibacterium prausnitzii and Roseburia intestinalis, coincide with increases in pro-inflammatory bacteria like Enterococcus faecalisand Lactobacillus rhamnosus. These shifts contribute to increased gut permeability and systemic inflammation, potentially influencing the kynurenine pathway, which is linked to depressive symptoms and elevated alcohol cravings. Furthermore, the review explores the potential of probiotic therapies targeting these microbial imbalances as adjunctive treatments for AUD, particularly those focusing on strains that support anti-inflammatory pathways and gut barrier integrity. Restoring microbial homeostasis through probiotics or fecal microbiota transplantation may not only reduce inflammation but also alleviate mental health symptoms associated with addiction, including suicidality. The findings underscore the need for further clinical trials assessing microbiome-targeted therapies as innovative, multifaceted approaches to AUD treatment in Slovenia and beyond. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alcohol%20use%20disorder" title="alcohol use disorder">alcohol use disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=gut-brain%20axis" title=" gut-brain axis"> gut-brain axis</a>, <a href="https://publications.waset.org/abstracts/search?q=microbiome%20dysbiosis" title=" microbiome dysbiosis"> microbiome dysbiosis</a>, <a href="https://publications.waset.org/abstracts/search?q=probiotic%20therapy." title=" probiotic therapy."> probiotic therapy.</a> </p> <a href="https://publications.waset.org/abstracts/193579/unraveling-the-gut-brain-connection-in-alcohol-use-disorder-microbiome-dysbiosis-and-probiotic-therapy-as-emerging-treatment-pathways" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193579.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">9</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">126</span> Characterization of the Blood Microbiome in Rheumatoid Arthritis Patients Compared to Healthy Control Subjects Using V4 Region 16S rRNA Sequencing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Hammad">D. Hammad</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20P.%20Tonge"> D. P. Tonge</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rheumatoid arthritis (RA) is a disabling and common autoimmune disease during which the body's immune system attacks healthy tissues. This results in complicated and long-lasting actions being carried out by the immune system, which typically only occurs when the immune system encounters a foreign object. In the case of RA, the disease affects millions of people and causes joint inflammation, ultimately leading to the destruction of cartilage and bone. Interestingly, the disease mechanism still remains unclear. It is likely that RA occurs as a result of a complex interplay of genetic and environmental factors including an imbalance in the microorganism population inside our body. The human microbiome or microbiota is an extensive community of microorganisms in and on the bodies of animals, which comprises bacteria, fungi, viruses, and protozoa. Recently, the development of molecular techniques to characterize entire bacterial communities has renewed interest in the involvement of the microbiome in the development and progression of RA. We believe that an imbalance in some of the specific bacterial species in the gut, mouth and other sites may lead to atopobiosis; the translocation of these organisms into the blood, and that this may lead to changes in immune system status. The aim of this study was, therefore, to characterize the microbiome of RA serum samples in comparison to healthy control subjects using 16S rRNA gene amplification and sequencing. Serum samples were obtained from healthy control volunteers and from patients with RA both prior to, and following treatment. The bacterial community present in each sample was identified utilizing V4 region 16S rRNA amplification and sequencing. Bacterial identification, to the lowest taxonomic rank, was performed using a range of bioinformatics tools. Significantly, the proportions of the Lachnospiraceae, Ruminococcaceae, and Halmonadaceae families were significantly increased in the serum of RA patients compared with healthy control serum. Furthermore, the abundance of Bacteroides and Lachnospiraceae nk4a136_group, Lachnospiraceae_UGC-001, RuminococcaceaeUCG-014, Rumnococcus-1, and Shewanella was also raised in the serum of RA patients relative to healthy control serum. These data support the notion of a blood microbiome and reveal RA-associated changes that may have significant implications for biomarker development and may present much-needed opportunities for novel therapeutic development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blood%20microbiome" title="blood microbiome">blood microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=gut%20and%20oral%20bacteria" title=" gut and oral bacteria"> gut and oral bacteria</a>, <a href="https://publications.waset.org/abstracts/search?q=Rheumatoid%20arthritis" title=" Rheumatoid arthritis"> Rheumatoid arthritis</a>, <a href="https://publications.waset.org/abstracts/search?q=16S%20rRNA%20gene%20sequencing" title=" 16S rRNA gene sequencing"> 16S rRNA gene sequencing</a> </p> <a href="https://publications.waset.org/abstracts/94190/characterization-of-the-blood-microbiome-in-rheumatoid-arthritis-patients-compared-to-healthy-control-subjects-using-v4-region-16s-rrna-sequencing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94190.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">132</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">125</span> Dysbiosis of the Intestinal Microbiome in Colorectal Cancer Patients at Hospital of Amizour, Bejaia, Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adjebli%20Ahmed">Adjebli Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Messis%20Abdelaziz"> Messis Abdelaziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayeche%20Riad"> Ayeche Riad</a>, <a href="https://publications.waset.org/abstracts/search?q=Tighilet%20Karim"> Tighilet Karim</a>, <a href="https://publications.waset.org/abstracts/search?q=Talbi%20Melissa"> Talbi Melissa</a>, <a href="https://publications.waset.org/abstracts/search?q=Smaili%20Yanis"> Smaili Yanis</a>, <a href="https://publications.waset.org/abstracts/search?q=Lehri%20Mokrane"> Lehri Mokrane</a>, <a href="https://publications.waset.org/abstracts/search?q=Louardiane%20Mustapha"> Louardiane Mustapha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Colorectal cancer is one of the most common types of cancer worldwide, and its incidence has been increasing in recent years. Data and fecal samples from colorectal cancer patients were collected at the Amizour Public Hospital's oncology department (Bejaia, Algeria). Microbiological and cohort study were conducted at the Biological Engineering of Cancers laboratory at the Faculty of Medicine of the University of Bejaia. All the data showed that patients aged between 50 and 70 years were the most affected by colorectal cancer, while the age categories of [30-40] and [40-50] were the least affected. Males were more likely to be at risk of contracting colorectal cancer than females. The most common types of colorectal cancer among the studied population were sigmoid cancer, rectal cancer, transverse colon cancer, and ascending colon cancer. The hereditary factor was found to be more dominant than other risk factors. Bacterial identification revealed the presence of certain pathogenic and opportunistic bacterial genera, such as E. coli, K. pneumoniae, Shigella sp, and Streptococcus group D. These results led us to conclude that dysbiosis of the intestinal microbiome is strongly present in colorectal cancer patients at the EPH of Amizour. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microbiome" title="microbiome">microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=colorectal%20cancer" title=" colorectal cancer"> colorectal cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=bacterial%20identification" title=" bacterial identification"> bacterial identification</a> </p> <a href="https://publications.waset.org/abstracts/164659/dysbiosis-of-the-intestinal-microbiome-in-colorectal-cancer-patients-at-hospital-of-amizour-bejaia-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164659.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">86</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">124</span> Phytoremediation Potenciality of ‘Polypogon monspeliensis L. in Detoxification of Petroleum-Contaminated Soils</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mozhgan%20Farzami%20Sepehr">Mozhgan Farzami Sepehr</a>, <a href="https://publications.waset.org/abstracts/search?q=Farhad%20Nourozi"> Farhad Nourozi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In a greenhouse study, decontamination capacity of the species Polypogon monspoliensis, for detoxification of petroleum-polluted soils caused by sewage and waste materials of Tehran Petroleum Refinery. For this purpose, the amount of total oil and grease before and 45 days after transplanting one-month-old seedlings in the soils of five different treatments in which pollution-free agricultural soil and contaminated soil were mixed together with the weight ratio of respectively 1 to 9 (% 10), 2 to 8 (%20), 3 to 7 (%30) , 4 to 6 (%40), and 5 to 5 (%50) were evaluated and compared with the amounts obtained from control treatment without vegetation, but with the same concentration of pollution. Findings demonstrated that the maximum reduction in the petroleum rate ,as much as 84.85 percent, is related to the treatment 10% containing the plant. Increasing the shoot height in treatments 10% and 20% as well as the root dry and fresh weight in treatments 10% , 20% , and 30% shows that probably activity of more rhizosphere microorganisms of the plant in these treatments has led to the improvement in growth of plant organs comparing to the treatments without pollution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=phytoremediation" title="phytoremediation">phytoremediation</a>, <a href="https://publications.waset.org/abstracts/search?q=total%20oil%20and%20%20grease" title=" total oil and grease"> total oil and grease</a>, <a href="https://publications.waset.org/abstracts/search?q=rhizosphere" title=" rhizosphere"> rhizosphere</a>, <a href="https://publications.waset.org/abstracts/search?q=microorganisms" title=" microorganisms"> microorganisms</a>, <a href="https://publications.waset.org/abstracts/search?q=petroleum-contaminated%20soil" title=" petroleum-contaminated soil "> petroleum-contaminated soil </a> </p> <a href="https://publications.waset.org/abstracts/22502/phytoremediation-potenciality-of-polypogon-monspeliensis-l-in-detoxification-of-petroleum-contaminated-soils" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22502.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">409</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">123</span> Data Analysis for Taxonomy Prediction and Annotation of 16S rRNA Gene Sequences from Metagenome Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Suchithra%20V.">Suchithra V.</a>, <a href="https://publications.waset.org/abstracts/search?q=Shreedhanya"> Shreedhanya</a>, <a href="https://publications.waset.org/abstracts/search?q=Kavya%20Menon"> Kavya Menon</a>, <a href="https://publications.waset.org/abstracts/search?q=Vidya%20Niranjan"> Vidya Niranjan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Skin metagenomics has a wide range of applications with direct relevance to the health of the organism. It gives us insight to the diverse community of microorganisms (the microbiome) harbored on the skin. In the recent years, it has become increasingly apparent that the interaction between skin microbiome and the human body plays a prominent role in immune system development, cancer development, disease pathology, and many other biological implications. Next Generation Sequencing has led to faster and better understanding of environmental organisms and their mutual interactions. This project is studying the human skin microbiome of different individuals having varied skin conditions. Bacterial 16S rRNA data of skin microbiome is downloaded from SRA toolkit provided by NCBI to perform metagenomics analysis. Twelve samples are selected with two controls, and 3 different categories, i.e., sex (male/female), skin type (moist/intermittently moist/sebaceous) and occlusion (occluded/intermittently occluded/exposed). Quality of the data is increased using Cutadapt, and its analysis is done using FastQC. USearch, a tool used to analyze an NGS data, provides a suitable platform to obtain taxonomy classification and abundance of bacteria from the metagenome data. The statistical tool used for analyzing the USearch result is METAGENassist. The results revealed that the top three abundant organisms found were: Prevotella, Corynebacterium, and Anaerococcus. Prevotella is known to be an infectious bacterium found on wound, tooth cavity, etc. Corynebacterium and Anaerococcus are opportunist bacteria responsible for skin odor. This result infers that Prevotella thrives easily in sebaceous skin conditions. Therefore it is better to undergo intermittently occluded treatment such as applying ointments, creams, etc. to treat wound for sebaceous skin type. Exposing the wound should be avoided as it leads to an increase in Prevotella abundance. Moist skin type individuals can opt for occluded or intermittently occluded treatment as they have shown to decrease the abundance of bacteria during treatment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bacterial%2016S%20rRNA" title="bacterial 16S rRNA ">bacterial 16S rRNA </a>, <a href="https://publications.waset.org/abstracts/search?q=next%20generation%20sequencing" title=" next generation sequencing"> next generation sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=skin%20metagenomics" title=" skin metagenomics"> skin metagenomics</a>, <a href="https://publications.waset.org/abstracts/search?q=skin%20microbiome" title=" skin microbiome"> skin microbiome</a>, <a href="https://publications.waset.org/abstracts/search?q=taxonomy" title=" taxonomy"> taxonomy</a> </p> <a href="https://publications.waset.org/abstracts/99878/data-analysis-for-taxonomy-prediction-and-annotation-of-16s-rrna-gene-sequences-from-metagenome-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99878.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=rhizosphere%20microbiome&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=rhizosphere%20microbiome&page=3">3</a></li> <li class="page-item"><a class="page-link" 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