Literature DB >> 33926012

Identification of the Potential Role of the Rumen Microbiome in Milk Protein and Fat Synthesis in Dairy Cows Using Metagenomic Sequencing.

Xin Wu1, Shuai Huang2, Jinfeng Huang1, Peng Peng1, Yanan Liu1, Bo Han1, Dongxiao Sun1.   

Abstract

The rumen contains abundant microorganisms that aid in the digestion of lignocellulosic feed and are associated with host phenotype traits. Cows with extremely high milk protein and fat percentages (HPF; n = 3) and low milk protein and fat percentages (LPF; n = 3) were selected from 4000 lactating Holstein cows under the same nutritional and management conditions. We found that the total concentration of volatile fatty acids, acetate, butyrate, and propionate in the rumen fluid was significantly higher in the HPF group than in the LPF group. Moreover, we identified 38 most abundant species displaying differential richness between the two groups, in which Prevotella accounted for 68.8% of the species, with the highest abundance in the HPF group. Functional annotation based on the Kyoto Encyclopedia of Gene and Genome (KEGG), evolutionary genealogy of genes: Non-supervised Orthologous Groups (eggNOG), and Carbohydrate-Active enzymes (CAZy) databases showed that the significantly more abundant species in the HPF group are enriched in carbohydrate, amino acid, pyruvate, insulin, and lipid metabolism and transportation. Furthermore, Spearman's rank correlation analysis revealed that specific microbial taxa (mainly the Prevotella species and Neocallimastix californiae) are positively correlated with total volatile fatty acids (VFA). Collectively, we found that the HPF group was enriched with several Prevotella species related to the total VFA, acetate, and amino acid synthesis. Thereby, these fulfilled the host's needs for energy, fat, and rumen microbial protein, which can be used for increased biosynthesis of milk fat and milk protein. Our findings provide novel information for elucidation of the regulatory mechanism of the rumen in the formation of milk composition.

Entities:  

Keywords:  dairy cattle; metagenome sequencing; milk fat; milk protein; rumen microbiome

Year:  2021        PMID: 33926012     DOI: 10.3390/ani11051247

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


  74 in total

1.  Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.

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Review 2.  Rumen Function and Development.

Authors:  Ransom L Baldwin; Erin E Connor
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Review 3.  Functional interactions between the gut microbiota and host metabolism.

Authors:  Valentina Tremaroli; Fredrik Bäckhed
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Journal:  ISME J       Date:  2017-07-21       Impact factor: 10.302

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Journal:  Trends Pharmacol Sci       Date:  2009-11       Impact factor: 14.819

7.  Acetic acid upregulates the expression of genes for fatty acid oxidation enzymes in liver to suppress body fat accumulation.

Authors:  Tomoo Kondo; Mikiya Kishi; Takashi Fushimi; Takayuki Kaga
Journal:  J Agric Food Chem       Date:  2009-07-08       Impact factor: 5.279

8.  Assessment of metagenomic assembly using simulated next generation sequencing data.

Authors:  Daniel R Mende; Alison S Waller; Shinichi Sunagawa; Aino I Järvelin; Michelle M Chan; Manimozhiyan Arumugam; Jeroen Raes; Peer Bork
Journal:  PLoS One       Date:  2012-02-23       Impact factor: 3.240

9.  CD-HIT: accelerated for clustering the next-generation sequencing data.

Authors:  Limin Fu; Beifang Niu; Zhengwei Zhu; Sitao Wu; Weizhong Li
Journal:  Bioinformatics       Date:  2012-10-11       Impact factor: 6.937

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  3 in total

1.  Metagenomic and Metabolomic Insights Into the Mechanism Underlying the Disparity in Milk Yield of Holstein Cows.

Authors:  Abdulmumini B Amin; Lei Zhang; JiYou Zhang; Shengyong Mao
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2.  The Response of Fecal Microbiota and Host Metabolome in Dairy Cows Following Rumen Fluid Transplantation.

Authors:  Shuai Huang; Gang Zheng; Hongkai Men; Wei Wang; Shengli Li
Journal:  Front Microbiol       Date:  2022-07-13       Impact factor: 6.064

3.  Multi-omics insights reveal the remodeling of gut mycobiome with P. gingivalis.

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Journal:  Front Cell Infect Microbiol       Date:  2022-08-29       Impact factor: 6.073

  3 in total

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