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dc.contributor.authorChiu, Chih-Minen_US
dc.contributor.authorHuang, Wei-Chihen_US
dc.contributor.authorWeng, Shun-Longen_US
dc.contributor.authorTseng, Han-Chien_US
dc.contributor.authorLiang, Chaoen_US
dc.contributor.authorWang, Wei-Chien_US
dc.contributor.authorYang, Tingen_US
dc.contributor.authorYang, Tzu-Lingen_US
dc.contributor.authorWeng, Chen-Tsungen_US
dc.contributor.authorChang, Tzu-Haoen_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.date.accessioned2014-12-08T15:36:44Z-
dc.date.available2014-12-08T15:36:44Z-
dc.date.issued2014en_US
dc.identifier.issn2314-6133en_US
dc.identifier.urihttp://hdl.handle.net/11536/25107-
dc.identifier.urihttp://dx.doi.org/10.1155/2014/906168en_US
dc.description.abstractEighty-one stool samples from Taiwanese were collected for analysis of the association between the gut flora and obesity. The supervised analysis showed that the most, abundant genera of bacteria in normal samples (from people with a body mass index (BMI) <= 24) were Bacteroides (27.7%), Prevotella (19.4%), Escherichia (12%), Phascolarctobacterium(3.9%), and Eubacterium (3.5%). The most abundant genera of bacteria in case samples (with a BMI >= 27) were Bacteroides (29%), Prevotella (21%), Escherichia (7.4%), Megamonas (5.1%), and Phascolarctobacterium (3.8%). A principal coordinate analysis (PCoA) demonstrated that normal samples were clustered more compactly than case samples. An unsupervised analysis demonstrated that bacterial communities in the gut were clustered into two main groups: N-like and OB-like groups. Remarkably, most normal samples (78%) were clustered in the N-like group, and most case samples (81%) were clustered in the OB-like group (Fisher\'s P value = 1.61E-07). The results showed that bacterial communities in the gut were highly associated with obesity. This is the first study in Taiwan to investigate the association between human gut flora and obesity, and the results provide new insights into the correlation of bacteria with the rising trend in obesity.en_US
dc.language.isoen_USen_US
dc.titleSystematic Analysis of the Association between Gut Flora and Obesity through High-Throughput Sequencing and Bioinformatics Approachesen_US
dc.typeArticleen_US
dc.identifier.doi10.1155/2014/906168en_US
dc.identifier.journalBIOMED RESEARCH INTERNATIONALen_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000340765100001-
dc.citation.woscount0-
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