Literature DB >> 30054362

Assessment of Rumen Microbiota from a Large Dairy Cattle Cohort Reveals the Pan and Core Bacteriomes Contributing to Varied Phenotypes.

Mingyuan Xue1, Huizeng Sun1,2, Xuehui Wu1, Le Luo Guan3, Jianxin Liu4.   

Abstract

Currently, knowledge on the extent to which rumen microbiota differ in a large population of cattle fed the same diet and whether such differences are associated with animal performance is limited. This study was conducted to characterize the rumen microbiota of a large cohort of lactating Holstein dairy cows (n = 334) that were fed the same diet and raised under the same environment, aiming to uncover linkages between core and pan rumen microbiomes and host phenotypes. Amplicon sequencing of the partial 16S rRNA gene identified 391 bacterial genera in the pan bacteriome and 33 genera in the core bacteriome. Interanimal variation existed in the pan and core bacteriomes, with the effect of lactation stage being more prominent than that of parity (the number of pregnancies, ranging from 2 to 7) and sire. Spearman's correlation network analysis revealed significant correlations among bacteria, rumen short-chain fatty acids, and lactation performance, with the core and noncore genera accounting for 53.9 and 46.2% of the network, respectively. These results suggest that the pan rumen bacteriome together with the core bacteriome potentially contributes to variations in milk production traits. Our findings provide an understanding of the potential functions of noncore rumen microbes, suggesting the possibility of enhancing bacterial fermentation using strategies to manipulate the core and noncore bacteriomes for improved cattle performance.IMPORTANCE This study revealed the rumen bacteriome from a large dairy cattle cohort (n = 334) raised under the same management and showed the linkages among the rumen core and pan bacteriomes, rumen short-chain fatty acids, and milk production phenotypes. The findings from this study suggest that the pan rumen bacteriome, together with the core bacteriome, potentially contributes to variations in host milk production traits. Fundamental knowledge on the rumen core and pan microbiomes and their roles in contributing to lactation performance provides novel insights into future strategies for manipulating rumen microbiota to enhance milk production in dairy cattle.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  core rumen bacteriome; dairy cattle; interindividual variation; milk production phenotypes; pan rumen bacteriome

Mesh:

Substances:

Year:  2018        PMID: 30054362      PMCID: PMC6146982          DOI: 10.1128/AEM.00970-18

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  38 in total

1.  Rumen microbial population dynamics during adaptation to a high-grain diet.

Authors:  S C Fernando; H T Purvis; F Z Najar; L O Sukharnikov; C R Krehbiel; T G Nagaraja; B A Roe; U Desilva
Journal:  Appl Environ Microbiol       Date:  2010-09-17       Impact factor: 4.792

2.  Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases.

Authors:  Jennifer M Brulc; Dionysios A Antonopoulos; Margret E Berg Miller; Melissa K Wilson; Anthony C Yannarell; Elizabeth A Dinsdale; Robert E Edwards; Edward D Frank; Joanne B Emerson; Pirjo Wacklin; Pedro M Coutinho; Bernard Henrissat; Karen E Nelson; Bryan A White
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-30       Impact factor: 11.205

3.  UPARSE: highly accurate OTU sequences from microbial amplicon reads.

Authors:  Robert C Edgar
Journal:  Nat Methods       Date:  2013-08-18       Impact factor: 28.547

4.  FLASH: fast length adjustment of short reads to improve genome assemblies.

Authors:  Tanja Magoč; Steven L Salzberg
Journal:  Bioinformatics       Date:  2011-09-07       Impact factor: 6.937

5.  Meta-analysis of the effects of monensin in beef cattle on feed efficiency, body weight gain, and dry matter intake.

Authors:  T F Duffield; J K Merrill; R N Bagg
Journal:  J Anim Sci       Date:  2012-08-02       Impact factor: 3.159

6.  Near-infrared analysis of fat, protein, and casein in cow's milk.

Authors:  M F Laporte; P Paquin
Journal:  J Agric Food Chem       Date:  1999-07       Impact factor: 5.279

7.  Metatranscriptomic Profiling Reveals Linkages between the Active Rumen Microbiome and Feed Efficiency in Beef Cattle.

Authors:  Fuyong Li; Le Luo Guan
Journal:  Appl Environ Microbiol       Date:  2017-04-17       Impact factor: 4.792

8.  Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms.

Authors:  J Gregory Caporaso; Christian L Lauber; William A Walters; Donna Berg-Lyons; James Huntley; Noah Fierer; Sarah M Owens; Jason Betley; Louise Fraser; Markus Bauer; Niall Gormley; Jack A Gilbert; Geoff Smith; Rob Knight
Journal:  ISME J       Date:  2012-03-08       Impact factor: 10.302

9.  Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome.

Authors:  Weibing Shi; Christina D Moon; Sinead C Leahy; Dongwan Kang; Jeff Froula; Sandra Kittelmann; Christina Fan; Samuel Deutsch; Dragana Gagic; Henning Seedorf; William J Kelly; Renee Atua; Carrie Sang; Priya Soni; Dong Li; Cesar S Pinares-Patiño; John C McEwan; Peter H Janssen; Feng Chen; Axel Visel; Zhong Wang; Graeme T Attwood; Edward M Rubin
Journal:  Genome Res       Date:  2014-06-06       Impact factor: 9.043

10.  Comparative study of the gut microbiome potentially related to milk protein in Murrah buffaloes (Bubalus bubalis) and Chinese Holstein cattle.

Authors:  Jiachao Zhang; Chuanbiao Xu; Dongxue Huo; Qisong Hu; Qiannan Peng
Journal:  Sci Rep       Date:  2017-02-08       Impact factor: 4.379

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  29 in total

1.  Variation in Rumen Bacteria of Lacaune Dairy Ewes From One Week to the Next.

Authors:  Solène Fresco; Christel Marie-Etancelin; Annabelle Meynadier; Guillermo Martinez Boggio
Journal:  Front Microbiol       Date:  2022-06-23       Impact factor: 6.064

2.  Comparative effects of two multispecies direct-fed microbial products on energy status, nutrient digestibility, and ruminal fermentation, bacterial community, and metabolome of beef steers.

Authors:  Ibukun M Ogunade; Megan McCoun; Modoluwamu D Idowu; Sunday O Peters
Journal:  J Anim Sci       Date:  2020-09-01       Impact factor: 3.159

Review 3.  Ruminal acidosis, bacterial changes, and lipopolysaccharides.

Authors:  Hugo F Monteiro; Antonio P Faciola
Journal:  J Anim Sci       Date:  2020-08-01       Impact factor: 3.159

4.  Dietary energy sources and levels shift the multi-kingdom microbiota and functions in the rumen of lactating dairy cows.

Authors:  Tansol Park; Lu Ma; Ying Ma; Xiaoqiao Zhou; Dengpan Bu; Zhongtang Yu
Journal:  J Anim Sci Biotechnol       Date:  2020-06-22

5.  Amino Acids and Ribose: Drivers of Protein and RNA Fermentation by Ingested Bacteria of a Primitive Gut Ecosystem.

Authors:  Lydia Zeibich; Maraike Staege; Oliver Schmidt; Harold L Drake
Journal:  Appl Environ Microbiol       Date:  2019-09-17       Impact factor: 4.792

6.  Rumen and Hindgut Bacteria Are Potential Indicators for Mastitis of Mid-Lactating Holstein Dairy Cows.

Authors:  Yifan Zhong; Ming-Yuan Xue; Hui-Zeng Sun; Teresa G Valencak; Le Luo Guan; Jianxin Liu
Journal:  Microorganisms       Date:  2020-12-20

7.  Dynamic changes of the fecal bacterial community in dairy cows during early lactation.

Authors:  Shuai Huang; Shoukun Ji; Feiran Wang; Jie Huang; Gibson Maswayi Alugongo; Shengli Li
Journal:  AMB Express       Date:  2020-09-17       Impact factor: 3.298

8.  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

9.  A collection of rumen bacteriome data from 334 mid-lactation dairy cows.

Authors:  Hui-Zeng Sun; Mingyuan Xue; Le Luo Guan; Jianxin Liu
Journal:  Sci Data       Date:  2019-01-22       Impact factor: 6.444

10.  Study on the Salivary Microbial Alteration of Men With Head and Neck Cancer and Its Relationship With Symptoms in Southwest China.

Authors:  Hao-Jiang Zuo; Mei R Fu; Hui-Ling Zhao; Xin-Wen Du; Zi-Yi Hu; Xun-Ying Zhao; Xiao-Qin Ji; Xian-Qiong Feng; Wuerken Zhumajiang; Ting-Hui Zhou; Ya-Li Tian; Xiao-Fang Pei; Rong Yu; Xiu-Ying Hu
Journal:  Front Cell Infect Microbiol       Date:  2020-11-06       Impact factor: 5.293

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