Literature DB >> 29102146

Symposium review: Host-rumen microbe interactions may be leveraged to improve the productivity of dairy cows.

D M Bickhart1, P J Weimer2.   

Abstract

The rumen is a large bioreactor that enables dairy cattle to derive nutrition from otherwise indigestible plant polymers and compounds. Despite the direct contribution of the rumen's microbial community toward the nutrition of the dairy cow, only a general knowledge has been gained of the metabolic processes within the rumen, and less still is known about most of the individual microbial species that colonize the organ. What has been discovered is that the rumen contains a diverse community of microbial species from all of the major domains of life, and that the contents of the rumen can vary greatly among individual animals. Preliminary evidence also indicates that rumen microbial profiles are heritable and sustainable within an individual, and that rumen microbial community structure can revert to its original profile within a short period following substantial perturbation. Much progress has been made in recent years to identify the diversity of microbial species in the rumen; however, the most popular methods used to identify microbial species often lack the predictive power necessary to associate particular microbial profiles with rumen metabolic activity. This represents the most significant barrier to the design of models that can estimate the direct effects of rumen microbial content on downstream dairy production traits. If such challenges can be overcome, it is possible that rumen microbial content could be assessed as a new phenotypic trait in cattle. In the future, we may estimate dairy production using a "genotype × environment × microbial" interaction model that accurately combines all factors affecting milk production.
Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  bioreactor; host–microbe interaction; microbial community; rumen

Mesh:

Year:  2017        PMID: 29102146     DOI: 10.3168/jds.2017-13328

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  17 in total

1.  Validating the Use of Bovine Buccal Sampling as a Proxy for the Rumen Microbiota by Using a Time Course and Random Forest Classification Approach.

Authors:  Juliana Young; Joseph H Skarlupka; Madison S Cox; Rafael Tassinari Resende; Amelie Fischer; Kenneth F Kalscheur; Jennifer C McClure; John B Cole; Garret Suen; Derek M Bickhart
Journal:  Appl Environ Microbiol       Date:  2020-08-18       Impact factor: 4.792

2.  Relationship between rumen microbial differences and traits among Hu sheep, Tan sheep, and Dorper sheep.

Authors:  Jiangbo Cheng; Xiaoxue Zhang; Dan Xu; Deyin Zhang; Yukun Zhang; Qizhi Song; Xiaolong Li; Yuan Zhao; Liming Zhao; Wenxin Li; Jianghui Wang; Bubo Zhou; Changchun Lin; Xiaobin Yang; Rui Zhai; Panpan Cui; Xiwen Zeng; Yongliang Huang; Zongwu Ma; Jia Liu; Weimin Wang
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

3.  Multi-Omic Biogeography of the Gastrointestinal Microbiota of a Pre-Weaned Lamb.

Authors:  Antonio Palomba; Alessandro Tanca; Cristina Fraumene; Marcello Abbondio; Francesco Fancello; Alberto Stanislao Atzori; Sergio Uzzau
Journal:  Proteomes       Date:  2017-12-18

4.  Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows.

Authors:  Gareth Frank Difford; Damian Rafal Plichta; Peter Løvendahl; Jan Lassen; Samantha Joan Noel; Ole Højberg; André-Denis G Wright; Zhigang Zhu; Lise Kristensen; Henrik Bjørn Nielsen; Bernt Guldbrandtsen; Goutam Sahana
Journal:  PLoS Genet       Date:  2018-10-12       Impact factor: 5.917

5.  Unveiling the Bovine Epimural Microbiota Composition and Putative Function.

Authors:  Cátia Pacífico; Renée Maxine Petri; Sara Ricci; Elsayed Mickdam; Stefanie Urimare Wetzels; Viktoria Neubauer; Qendrim Zebeli
Journal:  Microorganisms       Date:  2021-02-09

6.  Real-time monitoring of ruminal microbiota reveals their roles in dairy goats during subacute ruminal acidosis.

Authors:  Xiaodong Chen; Xiaodong Su; Jilong Li; Yuntian Yang; Peiyue Wang; Fang Yan; Junhu Yao; Shengru Wu
Journal:  NPJ Biofilms Microbiomes       Date:  2021-05-14       Impact factor: 7.290

7.  Effects of different protein sources on nutrient disappearance, rumen fermentation parameters and microbiota in dual-flow continuous culture system.

Authors:  Hui Mi; Ao Ren; Jinjia Zhu; Tao Ran; Weijun Shen; Chuanshe Zhou; Bin Zhang; Zhiliang Tan
Journal:  AMB Express       Date:  2022-02-10       Impact factor: 3.298

8.  Effects of Replacing Alfalfa Hay With Native Grass Hay in Pelleted Total Mixed Ration on Physicochemical Parameters, Fatty Acid Profile, and Rumen Microbiota in Lamb.

Authors:  Shuai Du; Sihan You; Lin Sun; Xiaolong Wang; Yushan Jia; Yulei Zhou
Journal:  Front Microbiol       Date:  2022-04-29       Impact factor: 5.640

9.  Assessing the Response of Ruminal Bacterial and Fungal Microbiota to Whole-Rumen Contents Exchange in Dairy Cows.

Authors:  Madison S Cox; Courtney L Deblois; Garret Suen
Journal:  Front Microbiol       Date:  2021-06-01       Impact factor: 5.640

10.  Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance.

Authors:  Ming-Yuan Xue; Hui-Zeng Sun; Xue-Hui Wu; Jian-Xin Liu; Le Luo Guan
Journal:  Microbiome       Date:  2020-05-12       Impact factor: 14.650

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