Literature DB >> 22959937

A metabolomics approach to uncover the effects of grain diets on rumen health in dairy cows.

F Saleem1, B N Ametaj, S Bouatra, R Mandal, Q Zebeli, S M Dunn, D S Wishart.   

Abstract

Dairy cows fed high-grain diets during early lactation have a high incidence of metabolic disorders. However, the precise mechanism(s) of how grain feeding causes disease is not clear. In an effort to understand how this diet transition alters the rumen environment and potentially leads to certain metabolic disorders in dairy cattle, we undertook a comprehensive, quantitative metabolomic analysis of rumen fluid samples from dairy cows fed 4 different diets. Using a combination of proton nuclear magnetic resonance spectroscopy, gas chromatography-mass spectrometry, and direct flow injection tandem mass spectroscopy, we identified and quantified 93 metabolites in rumen samples taken from 8 dairy cows fed graded amounts of barley grain (i.e., 0, 15, 30, and 45% of diet dry matter). We also studied temporal changes in the rumen by studying metabolite concentration differences between the first day and the last day of each diet phase following the diet adaptation period. Multivariate analysis showed that rumen metabolites arising from the diet containing 45% barley grain were clearly different from those containing 0, 15, and 30% barley grain. Likewise, a clear separation of the metabolic composition of the ruminal fluid was evident at the beginning and at the end of each diet phase-contrary to the belief that 11 d are suitable for the adaptation of cows to high-grain diets. High-grain diets (>30%) resulted in increased rumen fluid concentrations of several toxic, inflammatory, and unnatural compounds including putrescine, methylamines, ethanolamine, and short-chain fatty acids. Perturbations in several amino acids (phenylalanine, ornithine, lysine, leucine, arginine, valine, and phenylacetylglycine) were also evident. The present study confirms and greatly extends earlier observations on dietary effects on rumen fluid composition and shows that the use of multiple metabolomic platforms permits a far more detailed understanding of metabolic causes and effects. These results may improve our understanding of diet-related rumen metabolism and the influence of grain on the overall health of dairy cattle.
Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22959937     DOI: 10.3168/jds.2012-5403

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


  52 in total

1.  Accumulation of reserve carbohydrate by rumen protozoa and bacteria in competition for glucose.

Authors:  Bethany L Denton; Leanne E Diese; Jeffrey L Firkins; Timothy J Hackmann
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2.  Effects of a blend of Saccharomyces cerevisiae-based direct-fed microbial and fermentation products in the diet of newly weaned beef steers: growth performance, whole-blood immune gene expression, serum biochemistry, and plasma metabolome1.

Authors:  James A Adeyemi; David L Harmon; D M Paulus Compart; Ibukun M Ogunade
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

3.  Changes in Microbiota in Rumen Digesta and Feces Due to a Grain-Based Subacute Ruminal Acidosis (SARA) Challenge.

Authors:  Jan C Plaizier; Shucong Li; Anne Mette Danscher; Hooman Derakshani; Pia H Andersen; Ehsan Khafipour
Journal:  Microb Ecol       Date:  2017-02-08       Impact factor: 4.552

4.  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

5.  Effect of aspirin to intentionally induce leaky gut on performance, inflammation, and carcass characteristics of feedlot cattle.

Authors:  Nathan G Briggs; Breno C Silva; Letícia A Godoi; Jon P Schoonmaker
Journal:  J Anim Sci       Date:  2021-11-01       Impact factor: 3.159

6.  The Response of Ruminal Microbiota and Metabolites to Different Dietary Protein Levels in Tibetan Sheep on the Qinghai-Tibetan Plateau.

Authors:  Xungang Wang; Tianwei Xu; Xiaoling Zhang; Na Zhao; Linyong Hu; Hongjin Liu; Qian Zhang; Yuanyue Geng; Shengping Kang; Shixiao Xu
Journal:  Front Vet Sci       Date:  2022-06-29

7.  A multicomponent mycotoxin deactivator modifies the response of the jejunal mucosal and cecal bacterial community to deoxynivalenol contaminated feed and oral lipopolysaccharide challenge in chickens1.

Authors:  Barbara U Metzler-Zebeli; Annegret Lucke; Barbara Doupovec; Qendrim Zebeli; Josef Böhm
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

8.  Characterization of the Plasma Lipidome in Dairy Cattle Transitioning from Gestation to Lactation: Identifying Novel Biomarkers of Metabolic Impairment.

Authors:  Jorge Eduardo Rico; Sina Saed Samii; Yu Zang; Pragney Deme; Norman J Haughey; Ester Grilli; Joseph W McFadden
Journal:  Metabolites       Date:  2021-04-30

Review 9.  Maximizing efficiency of rumen microbial protein production.

Authors:  Timothy J Hackmann; Jeffrey L Firkins
Journal:  Front Microbiol       Date:  2015-05-15       Impact factor: 5.640

10.  Comparative untargeted metabolome analysis of ruminal fluid and feces of Nelore steers (Bos indicus).

Authors:  Jessica Moraes Malheiros; Banny Silva Barbosa Correia; Caroline Ceribeli; Daniel Rodrigues Cardoso; Luiz Alberto Colnago; Stanislau Bogusz Junior; James Mark Reecy; Gerson Barreto Mourão; Luiz Lehmann Coutinho; Julio Cesar Pascale Palhares; Alexandre Berndt; Luciana Correia de Almeida Regitano
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.379

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