4.6 Article

Unveiling the Bovine Epimural Microbiota Composition and Putative Function

期刊

MICROORGANISMS
卷 9, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/microorganisms9020342

关键词

rumen papillae; epimural microbiota; bovine rumen epithelium; core microbiota

资金

  1. Austrian ministry BMVIT
  2. Austrian ministry BMDW
  3. Austrian province Niederoesterreich
  4. Austrian province Upper Austria
  5. Austrian province Vienna

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This study conducted a meta-analysis of 11 publicly available amplicon studies on the rumen epimural microbiota, revealing key technical and biological sources of variation between experiments. Despite factors like country of origin and primer set influencing microbial abundance, a core microbiota was still identifiable in nearly all epithelium samples (>90%), showing the composition and functional potential of the cattle rumen epimural microbiota.
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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