Literature DB >> 33358156

Gene function adjustment for carbohydrate metabolism and enrichment of rumen microbiota with antibiotic resistance genes during subacute rumen acidosis induced by a high-grain diet in lactating dairy cows.

Y Y Mu1, W P Qi1, T Zhang1, J Y Zhang1, S Y Mao2.   

Abstract

The high-grain diets fed to ruminants generally alters the structure and function of rumen microbiota, resulting in variations of rumen fermentation patterns and the occurrence of subacute rumen acidosis (SARA). To clarify the microbial mechanism for carbohydrate metabolism during SARA, 8 ruminally cannulated Holstein cows in mid lactation were selected for a 3-wk experiment. The cows were randomly divided into 2 groups, fed either a conventional diet (CON; 40% concentrate; dry matter basis) or a high-grain diet (HG; 60% concentrate; dry matter basis). Compared with the CON diet, the HG diet reduced average daily pH (5.71 vs. 6.13), acetate concentration (72.56 vs. 78.44 mM), acetate ratio (54.81 vs. 65.24%), and the ratio of the concentrations of acetate to propionate (1.87 vs. 3.21) but increased the concentrations of total volatile fatty acids (133.03 vs. 120.22 mM), propionate (41.32 vs. 24.71 mM), and valerate (2.46 vs. 1.68 mM) and the propionate ratio (30.51 vs. 20.47%). Taxonomic analysis indicated that the HG cows had a higher relative abundance of Ruminococcus, Eubacterium, Selenomonas, Ruminobacter, Succinimonas, Methanomicrobium, and Methanocaldococcus accompanied by a lower relative abundance of unclassified Firmicutes, unclassified Bacteroidetes, Bacteroides, Fibrobacter, Alistipes, Candidatus Methanoplasma, Methanomassiliicoccus, and Methanolobus. Carbohydrate-active enzyme annotation suggested that there was enriched abundance of glycosyltransferases (GT) 2, glycoside hydrolase (GH) 13, GH24, carbohydrate-binding module (CBM) 26, GH73, GH25, CBM12, GH23, GT8, CBM50, and GT9 and reduced abundance of GH78, GH31, S-layer homology, GH109, carbohydrate esterase 1, GH3, carbohydrate esterase 10, and GH43 in the HG group. Functional profiling revealed that the HG feeding mainly downregulated the pentose phosphate pathway of carbohydrate catabolism, acetate metabolism, propionate metabolism (succinate pathway), and methane metabolism, whereas it upregulated the Embden-Meyerhof-Parnas and Entner-Doudoroff pathways of glycolysis and the citrate cycle. Additionally, the HG feeding promoted the abundance of various antibiotic resistance genes and antimicrobial resistance gene families. These results elucidated the structure and function adjustment of rumen microbiota for carbohydrate metabolism and summarized the enrichment of rumen antibiotic resistance genes under the HG feeding, which expands our understanding of the mechanism underlying the response of rumen microbiota to SARA in dairy cattle.
Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  KEGG orthologous group; antibiotic resistance gene; carbohydrate activity enzyme; high-grain diet

Mesh:

Substances:

Year:  2020        PMID: 33358156     DOI: 10.3168/jds.2020-19118

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


  3 in total

1.  Comparative genomic and secretomic characterisation of endophytic Bacillus velezensis LC1 producing bioethanol from bamboo lignocellulose.

Authors:  Hao Tang; Li Zheng; Yuanqiu Li; Lu Lei; Xiaowen Yang; Chaobing Luo
Journal:  Arch Microbiol       Date:  2021-04-01       Impact factor: 2.552

2.  Genome-centric investigation of bile acid metabolizing microbiota of dairy cows and associated diet-induced functional implications.

Authors:  Limei Lin; Zheng Lai; Huisheng Yang; Jiyou Zhang; Weibiao Qi; Fei Xie; Shengyong Mao
Journal:  ISME J       Date:  2022-10-19       Impact factor: 11.217

3.  Metagenomic insights into the microbe-mediated B and K2 vitamin biosynthesis in the gastrointestinal microbiome of ruminants.

Authors:  Qian Jiang; Limei Lin; Fei Xie; Wei Jin; Weiyun Zhu; Min Wang; Qiang Qiu; Zhipeng Li; Junhua Liu; Shengyong Mao
Journal:  Microbiome       Date:  2022-07-21       Impact factor: 16.837

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.