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 in | PloS one Vol. 10; no. 10; p. e0141842 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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. |
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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 |
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Author_xml | – sequence: 1 givenname: Shi surname: Ying fullname: Ying, Shi – sequence: 2 givenname: Dan-Ning surname: Zeng fullname: Zeng, Dan-Ning – sequence: 3 givenname: Liang surname: Chi fullname: Chi, Liang – sequence: 4 givenname: Yuan surname: Tan fullname: Tan, Yuan – sequence: 5 givenname: Carlos surname: Galzote fullname: Galzote, Carlos – sequence: 6 givenname: Cesar surname: Cardona fullname: Cardona, Cesar – sequence: 7 givenname: Simon surname: Lax fullname: Lax, Simon – sequence: 8 givenname: Jack surname: Gilbert fullname: Gilbert, Jack – sequence: 9 givenname: Zhe-Xue surname: Quan fullname: Quan, Zhe-Xue |
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 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 AC02-06CH11357 USDOE 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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SubjectTerms | Adolescent Adolescents Adult Adults Age Age Factors Bacteria Bacteria - classification Bacteria - genetics BASIC BIOLOGICAL SCIENCES Biodiversity Biogeography Child Cluster Analysis Community structure Computational Biology Demographic aspects Disease susceptibility Ecology elderly Engineering Evolution Female Forecasts and trends Gender Genomes Geriatrics Human populations Humans Infectious skin diseases Laboratories Life sciences Male Metagenome Microbial activity microbiome Microbiota Microorganisms Middle Aged Multiculturalism & pluralism Older people Phylogenetics polymerase chain reaction Population Populations Public health administration Public Health Surveillance Relative abundance Risk factors Rural areas Rural communities Rural environments Rural Population Rural populations sequence alignment sequence databases Sex Factors Skin Skin - microbiology Urban areas urban environments Urban Population Urban populations Young Adult |
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Title | The Influence of Age and Gender on Skin-Associated Microbial Communities in Urban and Rural Human Populations |
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