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Gut microbiome structure and association with host factors in a korean population

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dc.contributor.authorLim, Mi Young-
dc.contributor.authorHong, Seungpyo-
dc.contributor.authorBang, So-Jung-
dc.contributor.authorChung, Won-Hyong-
dc.contributor.authorShin, Ji-Hee-
dc.contributor.authorKim, Jung-Ha-
dc.contributor.authorNam, Young-Do-
dc.date.accessioned2021-09-17T07:40:15Z-
dc.date.available2021-09-17T07:40:15Z-
dc.date.issued2021-07-
dc.identifier.issn2379-5077-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/49506-
dc.description.abstractCharacterizing the gut microbiome in the healthy population is the first step in elucidating its associations with host health conditions. Populations with different diet patterns, lifestyles, and genetic backgrounds harbor different gut microbes. In this study, we characterized the gut microbiome of 890 healthy Koreans using 16S rRNA sequencing. The Korean population harbored a relatively large fraction of the Prevotella enterotype and presented a distinctive gut microbiome, compared to that in the populations of other countries. Additionally, we determined the clusters of cooccurring microbes that were quantitatively correlated with each other. We found that microbe composition of the gut was strongly associated with age. We identified that the abundance of members of Bacteroidia and Clostridia differed with the host dietary patterns, body mass index, and stool frequency. The gut microbiome data obtained in this study would be an important resource for future studies addressing microbial contributions in health and disease. © 2021 Lim et al.-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Society for Microbiology-
dc.titleGut microbiome structure and association with host factors in a korean population-
dc.typeArticle-
dc.identifier.doi10.1128/mSystems.00179-21-
dc.identifier.bibliographicCitationmSystems, v.6, no.4-
dc.description.isOpenAccessN-
dc.identifier.wosid000709920600014-
dc.identifier.scopusid2-s2.0-85112346145-
dc.citation.number4-
dc.citation.titlemSystems-
dc.citation.volume6-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorDietary pattern-
dc.subject.keywordAuthorEnterotype-
dc.subject.keywordAuthorGut microbiome-
dc.subject.keywordAuthorHost factor-
dc.subject.keywordAuthorHostmicrobiome-
dc.subject.keywordAuthorMicrobial cluster-
dc.subject.keywordPlusENTEROTYPES-
dc.subject.keywordPlusDIVERSITY-
dc.subject.keywordPlusPATTERNS-
dc.relation.journalResearchAreaMicrobiology-
dc.relation.journalWebOfScienceCategoryMicrobiology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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