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Cage and maternal effects on the bacterial communities of the murine gut
Findings from gut microbiome studies are strongly influenced by both experimental and analytical factors that can unintentionally bias their interpretation. Environment is also critical. Both co-housing and maternal effects are expected to affect microbiomes and have the potential to confound other...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110963/ https://www.ncbi.nlm.nih.gov/pubmed/33972615 http://dx.doi.org/10.1038/s41598-021-89185-5 |
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author | Singh, Gurdeep Brass, Andrew Cruickshank, Sheena M. Knight, Christopher G. |
author_facet | Singh, Gurdeep Brass, Andrew Cruickshank, Sheena M. Knight, Christopher G. |
author_sort | Singh, Gurdeep |
collection | PubMed |
description | Findings from gut microbiome studies are strongly influenced by both experimental and analytical factors that can unintentionally bias their interpretation. Environment is also critical. Both co-housing and maternal effects are expected to affect microbiomes and have the potential to confound other manipulated factors, such as genetics. We therefore analysed microbiome data from a mouse experiment using littermate controls and tested differences among genotypes (wildtype versus colitis prone-mdr1a(−/−)), gut niches (stool versus mucus), host ages (6 versus 18 weeks), social groups (co-housed siblings of different genotypes) and maternal influence. We constructed a 16S phylogenetic tree from bacterial communities, fitting random forest models using all 428,234 clades identified. Models discriminated all criteria except host genotype, where no community differences were found. Host social groups differed in abundant, low-level, taxa whereas intermediate phylogenetic and abundance scales distinguished ages and niches. Thus, a carefully controlled experiment treating evolutionary clades of microbes equivalently without reference to taxonomy, clearly identifies whether and how gut microbial communities are distinct across ecologically important factors (niche and host age) and other experimental factors, notably cage effects and maternal influence. These findings highlight the importance of considering such environmental factors in future microbiome studies. |
format | Online Article Text |
id | pubmed-8110963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81109632021-05-12 Cage and maternal effects on the bacterial communities of the murine gut Singh, Gurdeep Brass, Andrew Cruickshank, Sheena M. Knight, Christopher G. Sci Rep Article Findings from gut microbiome studies are strongly influenced by both experimental and analytical factors that can unintentionally bias their interpretation. Environment is also critical. Both co-housing and maternal effects are expected to affect microbiomes and have the potential to confound other manipulated factors, such as genetics. We therefore analysed microbiome data from a mouse experiment using littermate controls and tested differences among genotypes (wildtype versus colitis prone-mdr1a(−/−)), gut niches (stool versus mucus), host ages (6 versus 18 weeks), social groups (co-housed siblings of different genotypes) and maternal influence. We constructed a 16S phylogenetic tree from bacterial communities, fitting random forest models using all 428,234 clades identified. Models discriminated all criteria except host genotype, where no community differences were found. Host social groups differed in abundant, low-level, taxa whereas intermediate phylogenetic and abundance scales distinguished ages and niches. Thus, a carefully controlled experiment treating evolutionary clades of microbes equivalently without reference to taxonomy, clearly identifies whether and how gut microbial communities are distinct across ecologically important factors (niche and host age) and other experimental factors, notably cage effects and maternal influence. These findings highlight the importance of considering such environmental factors in future microbiome studies. Nature Publishing Group UK 2021-05-10 /pmc/articles/PMC8110963/ /pubmed/33972615 http://dx.doi.org/10.1038/s41598-021-89185-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Singh, Gurdeep Brass, Andrew Cruickshank, Sheena M. Knight, Christopher G. Cage and maternal effects on the bacterial communities of the murine gut |
title | Cage and maternal effects on the bacterial communities of the murine gut |
title_full | Cage and maternal effects on the bacterial communities of the murine gut |
title_fullStr | Cage and maternal effects on the bacterial communities of the murine gut |
title_full_unstemmed | Cage and maternal effects on the bacterial communities of the murine gut |
title_short | Cage and maternal effects on the bacterial communities of the murine gut |
title_sort | cage and maternal effects on the bacterial communities of the murine gut |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110963/ https://www.ncbi.nlm.nih.gov/pubmed/33972615 http://dx.doi.org/10.1038/s41598-021-89185-5 |
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