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Unveiling the Bovine Epimural Microbiota Composition and Putative Function

Numerous studies have used the 16S rRNA gene target in an attempt to characterize the structure and composition of the epimural microbiota in cattle. However, comparisons between studies are challenging, as the results show large variations associated with experimental protocols and bioinformatics m...

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Autores principales: Pacífico, Cátia, Petri, Renée Maxine, Ricci, Sara, Mickdam, Elsayed, Wetzels, Stefanie Urimare, Neubauer, Viktoria, Zebeli, Qendrim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915655/
https://www.ncbi.nlm.nih.gov/pubmed/33572291
http://dx.doi.org/10.3390/microorganisms9020342
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author Pacífico, Cátia
Petri, Renée Maxine
Ricci, Sara
Mickdam, Elsayed
Wetzels, Stefanie Urimare
Neubauer, Viktoria
Zebeli, Qendrim
author_facet Pacífico, Cátia
Petri, Renée Maxine
Ricci, Sara
Mickdam, Elsayed
Wetzels, Stefanie Urimare
Neubauer, Viktoria
Zebeli, Qendrim
author_sort Pacífico, Cátia
collection PubMed
description Numerous studies have used the 16S rRNA gene target in an attempt to characterize the structure and composition of the epimural microbiota in cattle. However, comparisons between studies are challenging, as the results show large variations associated with experimental protocols and bioinformatics methodologies. Here, we present a meta-analysis of the rumen epimural microbiota from 11 publicly available amplicon studies to assess key technical and biological sources of variation between experiments. Using the QIIME2 pipeline, 332 rumen epithelial microbiota samples were analyzed to investigate community structure, composition, and functional potential. Despite having a significant impact on microbial abundance, country of origin, farm, hypervariable region, primer set, animal variability, and biopsy location did not obscure the identification of a core microbiota. The bacterial genera Campylobacter, Christensenellaceae R-7 group, Defluviitaleaceae UCG-011, Lachnospiraceae UCG-010, Ruminococcaceae NK4A214 group, Ruminococcaceae UCG-010, Ruminococcaceae UCG-014, Succiniclasticum, Desulfobulbus, and Comamonas spp. were found in nearly all epithelium samples (>90%). Predictive analysis (PICRUSt) was used to assess the potential functions of the epithelial microbiota. Regularized canonical correlation analysis identified several pathways associated with the biosynthesis of precursor metabolites in Campylobacter, Comamonas, Desulfobulbus, and Ruminococcaceae NK4A214, highlighting key metabolic functions of these microbes within the epithelium.
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spelling pubmed-79156552021-03-01 Unveiling the Bovine Epimural Microbiota Composition and Putative Function Pacífico, Cátia Petri, Renée Maxine Ricci, Sara Mickdam, Elsayed Wetzels, Stefanie Urimare Neubauer, Viktoria Zebeli, Qendrim Microorganisms Article Numerous studies have used the 16S rRNA gene target in an attempt to characterize the structure and composition of the epimural microbiota in cattle. However, comparisons between studies are challenging, as the results show large variations associated with experimental protocols and bioinformatics methodologies. Here, we present a meta-analysis of the rumen epimural microbiota from 11 publicly available amplicon studies to assess key technical and biological sources of variation between experiments. Using the QIIME2 pipeline, 332 rumen epithelial microbiota samples were analyzed to investigate community structure, composition, and functional potential. Despite having a significant impact on microbial abundance, country of origin, farm, hypervariable region, primer set, animal variability, and biopsy location did not obscure the identification of a core microbiota. The bacterial genera Campylobacter, Christensenellaceae R-7 group, Defluviitaleaceae UCG-011, Lachnospiraceae UCG-010, Ruminococcaceae NK4A214 group, Ruminococcaceae UCG-010, Ruminococcaceae UCG-014, Succiniclasticum, Desulfobulbus, and Comamonas spp. were found in nearly all epithelium samples (>90%). Predictive analysis (PICRUSt) was used to assess the potential functions of the epithelial microbiota. Regularized canonical correlation analysis identified several pathways associated with the biosynthesis of precursor metabolites in Campylobacter, Comamonas, Desulfobulbus, and Ruminococcaceae NK4A214, highlighting key metabolic functions of these microbes within the epithelium. MDPI 2021-02-09 /pmc/articles/PMC7915655/ /pubmed/33572291 http://dx.doi.org/10.3390/microorganisms9020342 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pacífico, Cátia
Petri, Renée Maxine
Ricci, Sara
Mickdam, Elsayed
Wetzels, Stefanie Urimare
Neubauer, Viktoria
Zebeli, Qendrim
Unveiling the Bovine Epimural Microbiota Composition and Putative Function
title Unveiling the Bovine Epimural Microbiota Composition and Putative Function
title_full Unveiling the Bovine Epimural Microbiota Composition and Putative Function
title_fullStr Unveiling the Bovine Epimural Microbiota Composition and Putative Function
title_full_unstemmed Unveiling the Bovine Epimural Microbiota Composition and Putative Function
title_short Unveiling the Bovine Epimural Microbiota Composition and Putative Function
title_sort unveiling the bovine epimural microbiota composition and putative function
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915655/
https://www.ncbi.nlm.nih.gov/pubmed/33572291
http://dx.doi.org/10.3390/microorganisms9020342
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