Literature DB >> 34140582

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

Jessica Moraes Malheiros1, Banny Silva Barbosa Correia2, Caroline Ceribeli2, Daniel Rodrigues Cardoso2, Luiz Alberto Colnago3, Stanislau Bogusz Junior2, James Mark Reecy4, Gerson Barreto Mourão5, Luiz Lehmann Coutinho5, Julio Cesar Pascale Palhares1, Alexandre Berndt1, Luciana Correia de Almeida Regitano6.   

Abstract

We conducted a study to identify the fecal metabolite profile and its proximity to the ruminal metabolism of Nelore steers based on an untargeted metabolomic approach. Twenty-six Nelore were feedlot with same diet during 105 d. Feces and rumen fluid were collected before and at slaughter, respectively. The metabolomics analysis indicated 49 common polar metabolites in the rumen and feces. Acetate, propionate, and butyrate were the most abundant polar metabolites in both bio-samples. The rumen presented significantly higher concentrations of the polar compounds when compared to feces (P < 0.05); even though, fecal metabolites presented an accentuated representability of the ruminal fluid metabolites. All fatty acids present in the ruminal fluid were also observed in the feces, except for C20:2n6 and C20:4n6. The identified metabolites offer information on the main metabolic pathways (higher impact factor and P < 0.05), as synthesis and degradation of ketone bodies; the alanine, aspartate and glutamate metabolisms, the glycine, serine; and threonine metabolism and the pyruvate metabolism. The findings reported herein on the close relationship between the ruminal fluid and feces metabolic profiles may offer new metabolic information, in addition to facilitating the sampling for metabolism investigation in animal production and health routines.

Entities:  

Year:  2021        PMID: 34140582     DOI: 10.1038/s41598-021-92179-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  26 in total

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Authors:  G B Penner; M A Steele; J R Aschenbach; B W McBride
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2.  Metabolomics analysis reveals large effect of roughage types on rumen microbial metabolic profile in dairy cows.

Authors:  S Zhao; J Zhao; D Bu; P Sun; J Wang; Z Dong
Journal:  Lett Appl Microbiol       Date:  2014-04-04       Impact factor: 2.858

3.  Fecal Metabolomics as a Novel Noninvasive Method for Short-Term Stress Monitoring in Beef Cattle.

Authors:  Azzurra Valerio; Luca Casadei; Alessandro Giuliani; Mariacristina Valerio
Journal:  J Proteome Res       Date:  2020-01-09       Impact factor: 4.466

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Journal:  Crit Rev Microbiol       Date:  1982-05       Impact factor: 7.624

Review 5.  Microbial rumen fermentation.

Authors:  J B Russell; R B Hespell
Journal:  J Dairy Sci       Date:  1981-06       Impact factor: 4.034

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Journal:  Biochem J       Date:  1975-09       Impact factor: 3.857

7.  Heat shock and structural proteins associated with meat tenderness in Nellore beef cattle, a Bos indicus breed.

Authors:  Minos Esperândio Carvalho; Gustavo Gasparin; Mirele Daiana Poleti; Alessandra Fernandes Rosa; Júlio Cesar Carvalho Balieiro; Carlos Alberto Labate; Renata Tieko Nassu; Rymer Ramiz Tullio; Luciana Correia de Almeida Regitano; Gerson Barreto Mourão; Luiz Lehmann Coutinho
Journal:  Meat Sci       Date:  2013-11-22       Impact factor: 5.209

8.  Zilpaterol hydrochloride improves beef yield, changes palatability traits, and increases calpain-calpastatin gene expression in Nellore heifers.

Authors:  Nara Regina Brandão Cônsolo; Viviane Borba Ferrari; Ligia Garcia Mesquita; Rodrigo Silva Goulart; Luis Felipe Prada E Silva
Journal:  Meat Sci       Date:  2016-07-11       Impact factor: 5.209

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Authors:  H Kajikawa; M Mitsumori; S Ohmomo
Journal:  J Dairy Sci       Date:  2002-08       Impact factor: 4.034

10.  Corrigendum: Powdery Mildews Are Characterized by Contracted Carbohydrate Metabolism and Diverse Effectors to Adapt to Obligate Biotrophic Lifestyle.

Authors:  Peng Liang; Songyu Liu; Feng Xu; Shuqin Jiang; Jun Yan; Qiguang He; Wenbo Liu; Chunhua Lin; Fucong Zheng; Xiangfeng Wang; Weiguo Miao
Journal:  Front Microbiol       Date:  2019-01-23       Impact factor: 5.640

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  1 in total

Review 1.  Applications of Omics Technology for Livestock Selection and Improvement.

Authors:  Dibyendu Chakraborty; Neelesh Sharma; Savleen Kour; Simrinder Singh Sodhi; Mukesh Kumar Gupta; Sung Jin Lee; Young Ok Son
Journal:  Front Genet       Date:  2022-06-02       Impact factor: 4.772

  1 in total

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