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Sewage Reflects the Microbiomes of Human Populations

Molecular characterizations of the gut microbiome from individual human stool samples have identified community patterns that correlate with age, disease, diet, and other human characteristics, but resources for marker gene studies that consider microbiome trends among human populations scale with t...

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Autores principales: Newton, Ryan J., McLellan, Sandra L., Dila, Deborah K., Vineis, Joseph H., Morrison, Hilary G., Eren, A. Murat, Sogin, Mitchell L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Microbiology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358014/
https://www.ncbi.nlm.nih.gov/pubmed/25714718
http://dx.doi.org/10.1128/mBio.02574-14
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author Newton, Ryan J.
McLellan, Sandra L.
Dila, Deborah K.
Vineis, Joseph H.
Morrison, Hilary G.
Eren, A. Murat
Sogin, Mitchell L.
author_facet Newton, Ryan J.
McLellan, Sandra L.
Dila, Deborah K.
Vineis, Joseph H.
Morrison, Hilary G.
Eren, A. Murat
Sogin, Mitchell L.
author_sort Newton, Ryan J.
collection PubMed
description Molecular characterizations of the gut microbiome from individual human stool samples have identified community patterns that correlate with age, disease, diet, and other human characteristics, but resources for marker gene studies that consider microbiome trends among human populations scale with the number of individuals sampled from each population. As an alternative strategy for sampling populations, we examined whether sewage accurately reflects the microbial community of a mixture of stool samples. We used oligotyping of high-throughput 16S rRNA gene sequence data to compare the bacterial distribution in a stool data set to a sewage influent data set from 71 U.S. cities. On average, only 15% of sewage sample sequence reads were attributed to human fecal origin, but sewage recaptured most (97%) human fecal oligotypes. The most common oligotypes in stool matched the most common and abundant in sewage. After informatically separating sequences of human fecal origin, sewage samples exhibited ~3× greater diversity than stool samples. Comparisons among municipal sewage communities revealed the ubiquitous and abundant occurrence of 27 human fecal oligotypes, representing an apparent core set of organisms in U.S. populations. The fecal community variability among U.S. populations was significantly lower than among individuals. It clustered into three primary community structures distinguished by oligotypes from either: Bacteroidaceae, Prevotellaceae, or Lachnospiraceae/Ruminococcaceae. These distribution patterns reflected human population variation and predicted whether samples represented lean or obese populations with 81 to 89% accuracy. Our findings demonstrate that sewage represents the fecal microbial community of human populations and captures population-level traits of the human microbiome.
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spelling pubmed-43580142015-03-17 Sewage Reflects the Microbiomes of Human Populations Newton, Ryan J. McLellan, Sandra L. Dila, Deborah K. Vineis, Joseph H. Morrison, Hilary G. Eren, A. Murat Sogin, Mitchell L. mBio Research Article Molecular characterizations of the gut microbiome from individual human stool samples have identified community patterns that correlate with age, disease, diet, and other human characteristics, but resources for marker gene studies that consider microbiome trends among human populations scale with the number of individuals sampled from each population. As an alternative strategy for sampling populations, we examined whether sewage accurately reflects the microbial community of a mixture of stool samples. We used oligotyping of high-throughput 16S rRNA gene sequence data to compare the bacterial distribution in a stool data set to a sewage influent data set from 71 U.S. cities. On average, only 15% of sewage sample sequence reads were attributed to human fecal origin, but sewage recaptured most (97%) human fecal oligotypes. The most common oligotypes in stool matched the most common and abundant in sewage. After informatically separating sequences of human fecal origin, sewage samples exhibited ~3× greater diversity than stool samples. Comparisons among municipal sewage communities revealed the ubiquitous and abundant occurrence of 27 human fecal oligotypes, representing an apparent core set of organisms in U.S. populations. The fecal community variability among U.S. populations was significantly lower than among individuals. It clustered into three primary community structures distinguished by oligotypes from either: Bacteroidaceae, Prevotellaceae, or Lachnospiraceae/Ruminococcaceae. These distribution patterns reflected human population variation and predicted whether samples represented lean or obese populations with 81 to 89% accuracy. Our findings demonstrate that sewage represents the fecal microbial community of human populations and captures population-level traits of the human microbiome. American Society of Microbiology 2015-02-24 /pmc/articles/PMC4358014/ /pubmed/25714718 http://dx.doi.org/10.1128/mBio.02574-14 Text en Copyright © 2015 Newton et al. http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-nc-sa/3.0/) , which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Newton, Ryan J.
McLellan, Sandra L.
Dila, Deborah K.
Vineis, Joseph H.
Morrison, Hilary G.
Eren, A. Murat
Sogin, Mitchell L.
Sewage Reflects the Microbiomes of Human Populations
title Sewage Reflects the Microbiomes of Human Populations
title_full Sewage Reflects the Microbiomes of Human Populations
title_fullStr Sewage Reflects the Microbiomes of Human Populations
title_full_unstemmed Sewage Reflects the Microbiomes of Human Populations
title_short Sewage Reflects the Microbiomes of Human Populations
title_sort sewage reflects the microbiomes of human populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358014/
https://www.ncbi.nlm.nih.gov/pubmed/25714718
http://dx.doi.org/10.1128/mBio.02574-14
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