Literature DB >> 36263411

Yak rumen microbiome elevates fiber degradation ability and alters rumen fermentation pattern to increase feed efficiency.

Congcong Zhao1, Lamei Wang1,2, Shanlin Ke3, Xinhua Chen2, Ákos Kenéz4, Wei Xu4, Dangdang Wang1, Fan Zhang1, Yong Li1, Zhanhong Cui5, Yu Qiao6, Jing Wang1, Wenjuan Sun7, Jianhua Zhao7, Junhu Yao1, Zhongtang Yu8, Yangchun Cao1,2.   

Abstract

Rumen microbes play an important role in ruminant energy supply and animal performance. Previous studies showed that yak (Bos grunniens) rumen microbiome and fermentation differ from other ruminants. However, little is understood about the features of the rumen microbiome that make yak adapted to their unique environmental and dietary conditions. This study was to investigate the rumen microbiome and metabolome to understand how yak adapt to the coarse forage and harsh environment in the Qinghai-Tibetan plateau. Nine female Qaidam yellow cattle (Bos taurus), 9 dzomo (hybrids of cattle and yak) and 9 female plateau yak (B. grunniens), about 5 to 6 years old, were used in this study. Rumen fermentation parameters, fibrolytic enzyme activities, and rumen metataxonomic were determined. Then 18 (6 samples per group) were selected for rumen metagenomic and metabolome analysis. Metataxonomic analysis revealed that the rumen microbiota was significantly different among plateau yak, Qaidam yellow cattle, and dzomo (P < 0.05). Metagenomic analysis displayed a larger gene pool encoding a richer repertoire of carbohydrate-active enzymes in the rumen microbiome of plateau yak and dzomo than Qaidam yellow cattle (P < 0.05). Some of the genes encoding glycoside hydrolases that mediate the digestion of cellulose and hemicellulose were significantly enriched in the rumen of plateau yak than Qaidam yellow cattle, but glycoside hydrolase 57 that primarily includes amylases was abundant in Qaidam yellow cattle (P < 0.05). The rumen fermentation profile differed also, Qaidam yellow cattle having a higher molar proportion of acetate but a lower molar proportion of propionate than dzomo and plateau yak (P < 0.05). Based on metabolomic analysis, rumen microbial metabolic pathways and metabolites were different. Differential metabolites are mainly amino acids, carboxylic acids, sugars, and bile acids. Changes in rumen microbial composition could explain the above results. The present study showed that the rumen microbiome of plateau yak helps its host to adapt to the Qinghai-Tibetan plateau. In particular, the plateau yak rumen microbiome has more enzymes genes involved in cellulase and hemicellulase than that of cattle, resulting higher fibrolytic enzyme activities in yak, further providing stronger fiber degradation function.
© 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.

Entities:  

Keywords:  High plateau ruminant; Metabolome; Metagenome; Rumen microbiome

Year:  2022        PMID: 36263411      PMCID: PMC9556794          DOI: 10.1016/j.aninu.2022.07.014

Source DB:  PubMed          Journal:  Anim Nutr        ISSN: 2405-6383


  58 in total

Review 1.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

2.  Effects of different carbohydrate-binding modules on the enzymatic properties of pullulanase.

Authors:  Yan Zeng; Jianyong Xu; Xiaoping Fu; Ming Tan; Fang Liu; Hongchen Zheng; Hui Song
Journal:  Int J Biol Macromol       Date:  2019-07-08       Impact factor: 6.953

3.  Effects of physically effective fiber on digestive processes and milk fat content in early lactating dairy cows fed total mixed rations.

Authors:  Q Zebeli; M Tafaj; H Steingass; B Metzler; W Drochner
Journal:  J Dairy Sci       Date:  2006-02       Impact factor: 4.034

4.  Metabolic function of branched-chain volatile fatty acids, growth factors for ruminococci. II. Biosynthesis of higher branched-chain fatty acids and aldehydes.

Authors:  M J ALLISON; M P BRYANT; I KATZ; M KEENEY
Journal:  J Bacteriol       Date:  1962-05       Impact factor: 3.490

5.  Cecum microbial communities from steers differing in feed efficiency.

Authors:  P R Myer; J E Wells; T P L Smith; L A Kuehn; H C Freetly
Journal:  J Anim Sci       Date:  2015-11       Impact factor: 3.159

6.  Response of forage fiber degradation by ruminal microorganisms to branched-chain volatile fatty acids, amino acids, and dipeptides.

Authors:  C-M J Yang
Journal:  J Dairy Sci       Date:  2002-05       Impact factor: 4.034

7.  SOAP: short oligonucleotide alignment program.

Authors:  Ruiqiang Li; Yingrui Li; Karsten Kristiansen; Jun Wang
Journal:  Bioinformatics       Date:  2008-01-28       Impact factor: 6.937

Review 8.  Mouse models for human intestinal microbiota research: a critical evaluation.

Authors:  Floor Hugenholtz; Willem M de Vos
Journal:  Cell Mol Life Sci       Date:  2017-11-09       Impact factor: 9.261

9.  Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study.

Authors:  Toshitaka Odamaki; Kumiko Kato; Hirosuke Sugahara; Nanami Hashikura; Sachiko Takahashi; Jin-Zhong Xiao; Fumiaki Abe; Ro Osawa
Journal:  BMC Microbiol       Date:  2016-05-25       Impact factor: 3.605

10.  Comparative analysis of the microRNA transcriptome between yak and cattle provides insight into high-altitude adaptation.

Authors:  Jiuqiang Guan; Keren Long; Jideng Ma; Jinwei Zhang; Dafang He; Long Jin; Qianzi Tang; Anan Jiang; Xun Wang; Yaodong Hu; Shilin Tian; Zhi Jiang; Mingzhou Li; Xiaolin Luo
Journal:  PeerJ       Date:  2017-11-02       Impact factor: 2.984

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