Literature DB >> 24617926

Metabolomics analysis reveals large effect of roughage types on rumen microbial metabolic profile in dairy cows.

S Zhao1, J Zhao, D Bu, P Sun, J Wang, Z Dong.   

Abstract

UNLABELLED: The aim of our study was to determine the effect of diets with different types of roughage on the ruminal microbial metabolite profile in dairy cows. Holstein dairy cows were fed a diet containing either corn stover (CS group) or a mixture of alfalfa hay, Leymus chinensis hay and corn silage (MF group) at 0700 and 1900 h daily. Rumen fluid was sampled from each cow through a ruminal cannula at 0630 and 1030 h, and the mixed ruminal fluid from 3 day in each cow was analysed using nuclear magnetic resonance (NMR) spectroscopy. A multivariate analysis revealed a significant difference between the ruminal metabolome of the CS and MF groups at both time points. The MF group had higher levels of acetate, valerate, hydrocinnamate and methylamine and lower levels of glucose, glycine, propionate and isovalerate than those in the CS group. Our results showed that different types of roughages can significantly influence the ruminal microbial metabolome, especially with regard to organic acids, amines and amino acids. SIGNIFICANCE AND IMPACT OF THE STUDY: The microbial metabolites in the rumen provide nutritional precursors that are critical for general health and milk production in dairy cows. However, studies of the effect of diet on ruminal microbial metabolism are scant. In our current study, we analysed the ruminal microbial metabolite profile of cows fed different types of roughage. We found that the ruminal microbial metabolite profile of cows fed a mixed-roughage diet differed significantly from that of cows fed a single type of roughage. Certain metabolites, such as acetate, hydrocinnamate and methylamine, were closely correlated with specific types of roughage. Our findings provide insight into the effects of different roughages on ruminal microbial fermentation in dairy cows.
© 2014 The Society for Applied Microbiology.

Entities:  

Keywords:  dairy cows; metabolomics; roughages; rumen fluid

Mesh:

Year:  2014        PMID: 24617926     DOI: 10.1111/lam.12247

Source DB:  PubMed          Journal:  Lett Appl Microbiol        ISSN: 0266-8254            Impact factor:   2.858


  24 in total

1.  New Primers Targeting Full-Length Ciliate 18S rRNA Genes and Evaluation of Dietary Effect on Rumen Ciliate Diversity in Dairy Cows.

Authors:  Jun Zhang; Shengguo Zhao; Yangdong Zhang; Peng Sun; Dengpan Bu; Jiaqi Wang
Journal:  Curr Microbiol       Date:  2015-08-30       Impact factor: 2.188

2.  Unmasking Upstream Gene Expression Regulators with miRNA-corrected mRNA Data.

Authors:  Stephanie Bollmann; Dengpan Bu; Jiaqi Wang; Massimo Bionaz
Journal:  Bioinform Biol Insights       Date:  2016-05-29

Review 3.  News in livestock research - use of Omics-technologies to study the microbiota in the gastrointestinal tract of farm animals.

Authors:  Simon Deusch; Bruno Tilocca; Amélia Camarinha-Silva; Jana Seifert
Journal:  Comput Struct Biotechnol J       Date:  2014-12-24       Impact factor: 7.271

4.  Biomarker and pathway analyses of urine metabolomics in dairy cows when corn stover replaces alfalfa hay.

Authors:  Huizeng Sun; Bing Wang; Jiakun Wang; Hongyun Liu; Jianxin Liu
Journal:  J Anim Sci Biotechnol       Date:  2016-08-31

5.  Rumen Fluid Metabolomics Analysis Associated with Feed Efficiency on Crossbred Steers.

Authors:  Virginia M Artegoitia; Andrew P Foote; Ronald M Lewis; Harvey C Freetly
Journal:  Sci Rep       Date:  2017-06-06       Impact factor: 4.379

Review 6.  Application of meta-omics techniques to understand greenhouse gas emissions originating from ruminal metabolism.

Authors:  Robert J Wallace; Timothy J Snelling; Christine A McCartney; Ilma Tapio; Francesco Strozzi
Journal:  Genet Sel Evol       Date:  2017-01-16       Impact factor: 4.297

7.  Effect of Dietary Forage to Concentrate Ratios on Dynamic Profile Changes and Interactions of Ruminal Microbiota and Metabolites in Holstein Heifers.

Authors:  Jun Zhang; Haitao Shi; Yajing Wang; Shengli Li; Zhijun Cao; Shoukun Ji; Yuan He; Hongtao Zhang
Journal:  Front Microbiol       Date:  2017-11-09       Impact factor: 5.640

8.  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

9.  Integrated application of transcriptomics and metabolomics provides insights into glycogen content regulation in the Pacific oyster Crassostrea gigas.

Authors:  Busu Li; Kai Song; Jie Meng; Li Li; Guofan Zhang
Journal:  BMC Genomics       Date:  2017-09-11       Impact factor: 3.969

10.  The application of rumen simulation technique (RUSITEC) for studying dynamics of the bacterial community and metabolome in rumen fluid and the effects of a challenge with Clostridium perfringens.

Authors:  Stefanie U Wetzels; Melanie Eger; Marion Burmester; Lothar Kreienbrock; Amir Abdulmawjood; Beate Pinior; Martin Wagner; Gerhard Breves; Evelyne Mann
Journal:  PLoS One       Date:  2018-02-07       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.