The Influence of Age and Gender on Skin-Associated Microbial Communities in Urban and Rural Human Populations

Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or rural locations in the same city. While body site explained the maj...

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Published inPloS one Vol. 10; no. 10; p. e0141842
Main Authors Ying, Shi, Zeng, Dan-Ning, Chi, Liang, Tan, Yuan, Galzote, Carlos, Cardona, Cesar, Lax, Simon, Gilbert, Jack, Quan, Zhe-Xue
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 28.10.2015
Public Library of Science (PLoS)
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Abstract Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or rural locations in the same city. While body site explained the majority of the variance in bacterial community structure, the composition of the skin-associated bacterial communities were predominantly influenced by whether the participants were living in an urban or rural environment, with a significantly greater relative abundance of Trabulsiella in urban populations. Adults maintained greater overall microbial diversity than adolescents or the elderly, while the intragroup variation among the elderly and rural populations was significantly greater. Skin-associated bacterial community structure and composition could predict whether a sample came from an urban or a rural resident ~5x greater than random.
AbstractList Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or rural locations in the same city. While body site explained the majority of the variance in bacterial community structure, the composition of the skin-associated bacterial communities were predominantly influenced by whether the participants were living in an urban or rural environment, with a significantly greater relative abundance of Trabulsiella in urban populations. Adults maintained greater overall microbial diversity than adolescents or the elderly, while the intragroup variation among the elderly and rural populations was significantly greater. Skin-associated bacterial community structure and composition could predict whether a sample came from an urban or a rural resident ~5x greater than random.
Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or rural locations in the same city. While body site explained the majority of the variance in bacterial community structure, the composition of the skin-associated bacterial communities were predominantly influenced by whether the participants were living in an urban or rural environment, with a significantly greater relative abundance of Trabulsiella in urban populations. Adults maintained greater overall microbial diversity than adolescents or the elderly, while the intragroup variation among the elderly and rural populations was significantly greater. Skin-associated bacterial community structure and composition could predict whether a sample came from an urban or a rural resident ~5x greater than random.Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or rural locations in the same city. While body site explained the majority of the variance in bacterial community structure, the composition of the skin-associated bacterial communities were predominantly influenced by whether the participants were living in an urban or rural environment, with a significantly greater relative abundance of Trabulsiella in urban populations. Adults maintained greater overall microbial diversity than adolescents or the elderly, while the intragroup variation among the elderly and rural populations was significantly greater. Skin-associated bacterial community structure and composition could predict whether a sample came from an urban or a rural resident ~5x greater than random.
Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or rural locations in the same city. While body site explained the majority of the variance in bacterial community structure, the composition of the skin-associated bacterial communities were predominantly influenced by whether the participants were living in an urban or rural environment, with a significantly greater relative abundance of Trabulsiella in urban populations. Adults maintained greater overall microbial diversity than adolescents or the elderly, while the intragroup variation among the elderly and rural populations was significantly greater. Lastly, skin-associated bacterial community structure and composition could predict whether a sample came from an urban or a rural resident ~ 5x greater than random.
Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age, gender, physical skin parameters, and whether participants lived in urban or rural locations in the same city. While body site explained the majority of the variance in bacterial community structure, the composition of the skin-associated bacterial communities were predominantly influenced by whether the participants were living in an urban or rural environment, with a significantly greater relative abundance of Trabulsiella in urban populations. Adults maintained greater overall microbial diversity than adolescents or the elderly, while the intragroup variation among the elderly and rural populations was significantly greater. Skin-associated bacterial community structure and composition could predict whether a sample came from an urban or a rural resident ~5x greater than random.
Audience Academic
Author Gilbert, Jack
Ying, Shi
Lax, Simon
Tan, Yuan
Galzote, Carlos
Zeng, Dan-Ning
Chi, Liang
Cardona, Cesar
Quan, Zhe-Xue
AuthorAffiliation 2 Scientific Affairs, Johnson & Johnson China Ltd., Shanghai, China
6 Marine Biological Laboratory, Woods Hole, Massachusetts, United States of America
1 Department of Microbiology and Microbial Engineering, School of Life Science, Fudan University, Shanghai, China
5 Institute for Genomic and Systems Biology, Argonne National Laboratory, Argonne, Illinois, United States of America
3 Graduate Program in Biophysical Sciences, University of Chicago, Chicago, Illinois, United States of America
4 Department of Ecology and Evolution, University of Chicago, Chicago, Illinois, United States of America
7 College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
National Cancer Institute, UNITED STATES
AuthorAffiliation_xml – name: 3 Graduate Program in Biophysical Sciences, University of Chicago, Chicago, Illinois, United States of America
– name: 7 College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
– name: 2 Scientific Affairs, Johnson & Johnson China Ltd., Shanghai, China
– name: 4 Department of Ecology and Evolution, University of Chicago, Chicago, Illinois, United States of America
– name: 1 Department of Microbiology and Microbial Engineering, School of Life Science, Fudan University, Shanghai, China
– name: 5 Institute for Genomic and Systems Biology, Argonne National Laboratory, Argonne, Illinois, United States of America
– name: 6 Marine Biological Laboratory, Woods Hole, Massachusetts, United States of America
– name: National Cancer Institute, UNITED STATES
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  fullname: Ying, Shi
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– sequence: 3
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/26510185$$D View this record in MEDLINE/PubMed
https://www.osti.gov/servlets/purl/1339457$$D View this record in Osti.gov
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Copyright COPYRIGHT 2015 Public Library of Science
2015 Ying et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2015 Ying et al 2015 Ying et al
Copyright_xml – notice: COPYRIGHT 2015 Public Library of Science
– notice: 2015 Ying et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2015 Ying et al 2015 Ying et al
CorporateAuthor Argonne National Laboratory (ANL), Argonne, IL (United States)
CorporateAuthor_xml – name: Argonne National Laboratory (ANL), Argonne, IL (United States)
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Johnson and Johnson
Competing Interests: Financial support from Johnson & Johnson (China) does not alter the authors' adherence to PLOS ONE policies on sharing data and materials. Yuan Tan and Carlos Galzote are employees of Johnson & Johnson (China).
Conceived and designed the experiments: ZXQ YT CG. Performed the experiments: DNZ SY LC YT. Analyzed the data: SY ZXQ DNZ YT CG JG SL. Wrote the paper: SY ZXQ JG CC.
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Snippet Differences in the bacterial community structure associated with 7 skin sites in 71 healthy people over five days showed significant correlations with age,...
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StartPage e0141842
SubjectTerms Adolescent
Adolescents
Adult
Adults
Age
Age Factors
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Title The Influence of Age and Gender on Skin-Associated Microbial Communities in Urban and Rural Human Populations
URI https://www.ncbi.nlm.nih.gov/pubmed/26510185
https://www.proquest.com/docview/1727985078
https://www.proquest.com/docview/1728676253
https://www.osti.gov/servlets/purl/1339457
https://pubmed.ncbi.nlm.nih.gov/PMC4624872
https://doaj.org/article/0a5130059e604d60a235e396156f2b36
http://dx.doi.org/10.1371/journal.pone.0141842
Volume 10
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