Literature DB >> 33572291

Unveiling the Bovine Epimural Microbiota Composition and Putative Function.

Cátia Pacífico1, Renée Maxine Petri2, Sara Ricci1, Elsayed Mickdam3, Stefanie Urimare Wetzels4,5, Viktoria Neubauer4,5, Qendrim Zebeli1.   

Abstract

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.

Entities:  

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

Year:  2021        PMID: 33572291      PMCID: PMC7915655          DOI: 10.3390/microorganisms9020342

Source DB:  PubMed          Journal:  Microorganisms        ISSN: 2076-2607


  57 in total

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Journal:  Res Vet Sci       Date:  2012-02-25       Impact factor: 2.534

2.  Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Authors:  Evan Bolyen; Jai Ram Rideout; Matthew R Dillon; Nicholas A Bokulich; Christian C Abnet; Gabriel A Al-Ghalith; Harriet Alexander; Eric J Alm; Manimozhiyan Arumugam; Francesco Asnicar; Yang Bai; Jordan E Bisanz; Kyle Bittinger; Asker Brejnrod; Colin J Brislawn; C Titus Brown; Benjamin J Callahan; Andrés Mauricio Caraballo-Rodríguez; John Chase; Emily K Cope; Ricardo Da Silva; Christian Diener; Pieter C Dorrestein; Gavin M Douglas; Daniel M Durall; Claire Duvallet; Christian F Edwardson; Madeleine Ernst; Mehrbod Estaki; Jennifer Fouquier; Julia M Gauglitz; Sean M Gibbons; Deanna L Gibson; Antonio Gonzalez; Kestrel Gorlick; Jiarong Guo; Benjamin Hillmann; Susan Holmes; Hannes Holste; Curtis Huttenhower; Gavin A Huttley; Stefan Janssen; Alan K Jarmusch; Lingjing Jiang; Benjamin D Kaehler; Kyo Bin Kang; Christopher R Keefe; Paul Keim; Scott T Kelley; Dan Knights; Irina Koester; Tomasz Kosciolek; Jorden Kreps; Morgan G I Langille; Joslynn Lee; Ruth Ley; Yong-Xin Liu; Erikka Loftfield; Catherine Lozupone; Massoud Maher; Clarisse Marotz; Bryan D Martin; Daniel McDonald; Lauren J McIver; Alexey V Melnik; Jessica L Metcalf; Sydney C Morgan; Jamie T Morton; Ahmad Turan Naimey; Jose A Navas-Molina; Louis Felix Nothias; Stephanie B Orchanian; Talima Pearson; Samuel L Peoples; Daniel Petras; Mary Lai Preuss; Elmar Pruesse; Lasse Buur Rasmussen; Adam Rivers; Michael S Robeson; Patrick Rosenthal; Nicola Segata; Michael Shaffer; Arron Shiffer; Rashmi Sinha; Se Jin Song; John R Spear; Austin D Swafford; Luke R Thompson; Pedro J Torres; Pauline Trinh; Anupriya Tripathi; Peter J Turnbaugh; Sabah Ul-Hasan; Justin J J van der Hooft; Fernando Vargas; Yoshiki Vázquez-Baeza; Emily Vogtmann; Max von Hippel; William Walters; Yunhu Wan; Mingxun Wang; Jonathan Warren; Kyle C Weber; Charles H D Williamson; Amy D Willis; Zhenjiang Zech Xu; Jesse R Zaneveld; Yilong Zhang; Qiyun Zhu; Rob Knight; J Gregory Caporaso
Journal:  Nat Biotechnol       Date:  2019-08       Impact factor: 54.908

3.  QIIME allows analysis of high-throughput community sequencing data.

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Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

4.  AdapterRemoval: easy cleaning of next-generation sequencing reads.

Authors:  Stinus Lindgreen
Journal:  BMC Res Notes       Date:  2012-07-02

5.  The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies.

Authors:  J Paul Brooks; David J Edwards; Michael D Harwich; Maria C Rivera; Jennifer M Fettweis; Myrna G Serrano; Robert A Reris; Nihar U Sheth; Bernice Huang; Philippe Girerd; Jerome F Strauss; Kimberly K Jefferson; Gregory A Buck
Journal:  BMC Microbiol       Date:  2015-03-21       Impact factor: 3.605

6.  Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.

Authors:  Amnon Amir; Daniel McDonald; Jose A Navas-Molina; Evguenia Kopylova; James T Morton; Zhenjiang Zech Xu; Eric P Kightley; Luke R Thompson; Embriette R Hyde; Antonio Gonzalez; Rob Knight
Journal:  mSystems       Date:  2017-03-07       Impact factor: 6.496

7.  The Ruminal Microbiome and Metabolome Alterations Associated with Diet-Induced Milk Fat Depression in Dairy Cows.

Authors:  Hongbo Zeng; Changzheng Guo; Daming Sun; Hossam-Eldin Seddik; Shengyong Mao
Journal:  Metabolites       Date:  2019-07-23

8.  The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases.

Authors:  Ron Caspi; Tomer Altman; Richard Billington; Kate Dreher; Hartmut Foerster; Carol A Fulcher; Timothy A Holland; Ingrid M Keseler; Anamika Kothari; Aya Kubo; Markus Krummenacker; Mario Latendresse; Lukas A Mueller; Quang Ong; Suzanne Paley; Pallavi Subhraveti; Daniel S Weaver; Deepika Weerasinghe; Peifen Zhang; Peter D Karp
Journal:  Nucleic Acids Res       Date:  2013-11-12       Impact factor: 16.971

9.  Meta-analysis To Define a Core Microbiota in the Swine Gut.

Authors:  Devin B Holman; Brian W Brunelle; Julian Trachsel; Heather K Allen
Journal:  mSystems       Date:  2017-05-23       Impact factor: 6.496

10.  Feed Additives Differentially Impact the Epimural Microbiota and Host Epithelial Gene Expression of the Bovine Rumen Fed Diets Rich in Concentrates.

Authors:  Renee Maxine Petri; Viktoria Neubauer; Elke Humer; Iris Kröger; Nicole Reisinger; Qendrim Zebeli
Journal:  Front Microbiol       Date:  2020-02-19       Impact factor: 5.640

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  6 in total

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Authors:  Xinyu Guo; Yuzhu Sha; Weibing Lv; Xiaoning Pu; Xiu Liu; Yuzhu Luo; Jiang Hu; Jiqing Wang; Shaobin Li; Zhidong Zhao
Journal:  Microb Cell Fact       Date:  2022-04-07       Impact factor: 5.328

2.  Shift of dietary carbohydrate source from milk to various solid feeds reshapes the rumen and fecal microbiome in calves.

Authors:  Thomas Hartinger; Cátia Pacífico; Gregor Poier; Georg Terler; Fenja Klevenhusen; Qendrim Zebeli
Journal:  Sci Rep       Date:  2022-07-20       Impact factor: 4.996

3.  Rumen Fermentation and Microbiome Responses to Enzymatic Hydrolysate of Cottonseed Protein Supplementation in Continuous In Vitro Culture.

Authors:  Jia Zhou; Ziyue Ding; Qijian Pu; Benchu Xue; Shuangming Yue; Shengtao Guan; Zhisheng Wang; Lizhi Wang; Quanhui Peng; Bai Xue
Journal:  Animals (Basel)       Date:  2022-08-18       Impact factor: 3.231

4.  Age as a primary driver of the gut microbial composition and function in wild harbor seals.

Authors:  A Pacheco-Sandoval; A Lago-Lestón; A Abadía-Cardoso; E Solana-Arellano; Y Schramm
Journal:  Sci Rep       Date:  2022-08-27       Impact factor: 4.996

5.  Depicting Fecal Microbiota Characteristic in Yak, Cattle, Yak-Cattle Hybrid and Tibetan Sheep in Different Eco-Regions of Qinghai-Tibetan Plateau.

Authors:  Xiaoqi Wang; Zhichao Zhang; Biao Li; Wenjing Hao; Weiwen Yin; Sitong Ai; Jing Han; Rujing Wang; Ziyuan Duan
Journal:  Microbiol Spectr       Date:  2022-07-12

6.  Ruminal background of predisposed milk urea (MU) concentration in Holsteins.

Authors:  Hanne Honerlagen; Henry Reyer; Dierck Segelke; Carolin Beatrix Maria Müller; Marie Christin Prahl; Siriluck Ponsuksili; Nares Trakooljul; Norbert Reinsch; Björn Kuhla; Klaus Wimmers
Journal:  Front Microbiol       Date:  2022-09-13       Impact factor: 6.064

  6 in total

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