five

16S Raw sequence reads. 16S

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA786611
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Longitudinal human gut microbiome datasets generated using communitylevel, sequence based approaches often report a sub-set of long-lived resident taxa that rarely, if ever, are lost. This result contrasts with population level turnover of resident clones on the order of months to years. We hypothesized that the disconnect between these results is due to a relative lack of simultaneous discrimination of the human gut microbiome at both the community and population levels. Here, we present results of a small, longitudinal cohort study, 8 participants of healthy human adults that identifies static and dynamic members of the gut microbiome at the clone level based on cultivation/genetic discrimination and at the operational taxonomic unit/amplified sequence variant levels based on 16S rRNA sequencing. We provide evidence that there is little stability within resident clonal populations of the common gut microbiome bacterial family, Enterobacteriaceae. Given that clones can vary substantially in genome content and that evolutionary processes operate on the population level, these results question the biological relevance of apparent stability at higher taxonomic levels.
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2021-12-06
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