Literature DB >> 33972615

Cage and maternal effects on the bacterial communities of the murine gut.

Gurdeep Singh1, Andrew Brass2, Sheena M Cruickshank3, Christopher G Knight4.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33972615     DOI: 10.1038/s41598-021-89185-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  54 in total

1.  Accounting for reciprocal host-microbiome interactions in experimental science.

Authors:  Thaddeus S Stappenbeck; Herbert W Virgin
Journal:  Nature       Date:  2016-06-09       Impact factor: 49.962

2.  Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability.

Authors:  Andreas Hiergeist; Udo Reischl; Andrè Gessner
Journal:  Int J Med Microbiol       Date:  2016-03-21       Impact factor: 3.473

3.  Early differences in fecal microbiota composition in children may predict overweight.

Authors:  Marko Kalliomäki; Maria Carmen Collado; Seppo Salminen; Erika Isolauri
Journal:  Am J Clin Nutr       Date:  2008-03       Impact factor: 7.045

4.  Non-invasive mapping of the gastrointestinal microbiota identifies children with inflammatory bowel disease.

Authors:  Eliseo Papa; Michael Docktor; Christopher Smillie; Sarah Weber; Sarah P Preheim; Dirk Gevers; Georgia Giannoukos; Dawn Ciulla; Diana Tabbaa; Jay Ingram; David B Schauer; Doyle V Ward; Joshua R Korzenik; Ramnik J Xavier; Athos Bousvaros; Eric J Alm
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

5.  The outer mucus layer hosts a distinct intestinal microbial niche.

Authors:  Hai Li; Julien P Limenitakis; Tobias Fuhrer; Markus B Geuking; Melissa A Lawson; Madeleine Wyss; Sandrine Brugiroux; Irene Keller; Jamie A Macpherson; Sandra Rupp; Bettina Stolp; Jens V Stein; Bärbel Stecher; Uwe Sauer; Kathy D McCoy; Andrew J Macpherson
Journal:  Nat Commun       Date:  2015-09-22       Impact factor: 14.919

6.  The composition of the gut microbiota shapes the colon mucus barrier.

Authors:  Hedvig E Jakobsson; Ana M Rodríguez-Piñeiro; André Schütte; Anna Ermund; Preben Boysen; Mats Bemark; Felix Sommer; Fredrik Bäckhed; Gunnar C Hansson; Malin E V Johansson
Journal:  EMBO Rep       Date:  2014-12-18       Impact factor: 8.807

7.  Gut eosinophils and their impact on the mucus-resident microbiota.

Authors:  Gurdeep Singh; Andrew Brass; Christopher G Knight; Sheena M Cruickshank
Journal:  Immunology       Date:  2019-09-17       Impact factor: 7.397

8.  Cohabiting family members share microbiota with one another and with their dogs.

Authors:  Se Jin Song; Christian Lauber; Elizabeth K Costello; Catherine A Lozupone; Gregory Humphrey; Donna Berg-Lyons; J Gregory Caporaso; Dan Knights; Jose C Clemente; Sara Nakielny; Jeffrey I Gordon; Noah Fierer; Rob Knight
Journal:  Elife       Date:  2013-04-16       Impact factor: 8.140

9.  Variation in Taxonomic Composition of the Fecal Microbiota in an Inbred Mouse Strain across Individuals and Time.

Authors:  Yana Emmy Hoy; Elisabeth M Bik; Trevor D Lawley; Susan P Holmes; Denise M Monack; Julie A Theriot; David A Relman
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

10.  Inflammation-associated enterotypes, host genotype, cage and inter-individual effects drive gut microbiota variation in common laboratory mice.

Authors:  Falk Hildebrand; Thi Loan Anh Nguyen; Brigitta Brinkman; Roberto Garcia Yunta; Benedicte Cauwe; Peter Vandenabeele; Adrian Liston; Jeroen Raes
Journal:  Genome Biol       Date:  2013-01-24       Impact factor: 13.583

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