Literature DB >> 30178216

Proteomic investigation of liver from beef cattle (Bos indicus) divergently ranked on residual feed intake.

W A Baldassini1, S F M Bonilha2, R H Branco2, J C S Vieira3, P M Padilha3, D P D Lanna4.   

Abstract

Proteomics studies can be used to identify proteins that affect feed efficiency traits, related to cost and profitability of meat production. We used a proteomic approach based on two-dimensional electrophoresis (2D-PAGE) in combination with mass spectrometry (ESI-MS) to study liver samples of Nellore bulls divergently ranked according to residual feed intake (RFI). The study showed that 71 protein spots were expressed differentially (P < 0.05) among RFI groups and 47 were identified by ESI-MS. In RFI, efficient animals (low RFI) eat less than predictions, based on their weights and growth rate, while inefficient animals (high RFI) that eat more than predicted. Data from 18 animals (9 high vs. 9 low RFI) aged 24-26 months in feedlot finishing were used. Immediately after slaughter, liver samples were collected and protein extracts were separated. The gels of RFI groups were scanned and the images analyzed, whereby we found 279 and 215 liver protein spots in high and low RFI bulls, respectively. The proteins identified were related to the following biological functions: (I) oxygen transport and blood flow; (II) mitochondrial function and energy metabolism; (III) amino acid metabolism, ion transport, and cell survival. The study suggests hemoglobin subunit beta and heat shock protein 71 kDa and as molecular markers to study FE in Nellore cattle. Moreover, proteins such as 3-ketoacyl-CoA thiolase and glutamate dehydrogenase 1 were found in liver from high and low RFI animals, respectively. Such protein expression could be associated with changes in the oxidative capacity of RFI phenotypes.

Entities:  

Keywords:  Energy; Feed efficiency; Metabolism; Proteome; Zebu cattle

Mesh:

Year:  2018        PMID: 30178216     DOI: 10.1007/s11033-018-4341-2

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  20 in total

1.  Feed efficiency indexes and their relationships with carcass, non-carcass and meat quality traits in Nellore steers.

Authors:  M L Nascimento; A R D L Souza; A S Chaves; A S M Cesar; R R Tullio; S R Medeiros; G B Mourão; A N Rosa; G L D Feijó; M M Alencar; D P D Lanna
Journal:  Meat Sci       Date:  2016-01-26       Impact factor: 5.209

2.  In-gel digestion for mass spectrometric characterization of proteins and proteomes.

Authors:  Andrej Shevchenko; Henrik Tomas; Jan Havlis; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

Review 3.  Association of mitochondrial function and feed efficiency in poultry and livestock species.

Authors:  W G Bottje; G E Carstens
Journal:  J Anim Sci       Date:  2008-11-21       Impact factor: 3.159

4.  Mitochondrial complex I protein differs among residual feed intake phenotype in beef cattle.

Authors:  M H Ramos; M S Kerley
Journal:  J Anim Sci       Date:  2013-07       Impact factor: 3.159

5.  Inverse relationships between biomarkers and beef tenderness according to contractile and metabolic properties of the muscle.

Authors:  Brigitte Picard; Mohammed Gagaoua; Didier Micol; Isabelle Cassar-Malek; Jean-François Hocquette; Claudia E M Terlouw
Journal:  J Agric Food Chem       Date:  2014-09-23       Impact factor: 5.279

6.  Association of CAST2, HSP90AA1, DNAJA1 and HSPB1 genes with meat tenderness in Nellore cattle.

Authors:  Jessica Moraes Malheiros; Cruz Elena Enríquez-Valencia; Bruno Oliveira da Silva Duran; Tassiana Gutierrez de Paula; Rogério Abdallah Curi; Josineudson Augusto I I de Vasconcelos Silva; Maeli Dal-Pai-Silva; Henrique Nunes de Oliveira; Luis Artur Loyola Chardulo
Journal:  Meat Sci       Date:  2018-01-05       Impact factor: 5.209

7.  A proteomic approach to identify metalloproteins and metal-binding proteins in liver from diabetic rats.

Authors:  Camila Pereira Braga; José Cavalcante Souza Vieira; Ryan A Grove; Cory H T Boone; Aline de Lima Leite; Marília Afonso Rabelo Buzalaf; Ana Angélica Henrique Fernandes; Jiri Adamec; Pedro de Magalhaes Padilha
Journal:  Int J Biol Macromol       Date:  2017-01-03       Impact factor: 6.953

8.  Improved image analysis workflow for 2-D gels enables large-scale 2-D gel-based proteomics studies--COPD biomarker discovery study.

Authors:  Julia E Bandow; John D Baker; Matthias Berth; Cory Painter; Osvaldo J Sepulveda; Kelly A Clark; Iain Kilty; Ruth A VanBogelen
Journal:  Proteomics       Date:  2008-08       Impact factor: 3.984

Review 9.  Protein disulfide isomerase.

Authors:  Bonney Wilkinson; Hiram F Gilbert
Journal:  Biochim Biophys Acta       Date:  2004-06-01

Review 10.  Progress in the biological function of alpha-enolase.

Authors:  Hong Ji; Jianfa Wang; Jingru Guo; Yue Li; Shuai Lian; Wenjin Guo; Huanmin Yang; Fanzhi Kong; Li Zhen; Li Guo; Yanzhi Liu
Journal:  Anim Nutr       Date:  2016-03-02
View more
  1 in total

1.  Liver proteomics unravel the metabolic pathways related to Feed Efficiency in beef cattle.

Authors:  Leydiana D Fonseca; Joanir P Eler; Mikaele A Pereira; Alessandra F Rosa; Pâmela A Alexandre; Cristina T Moncau; Fernanda Salvato; Livia Rosa-Fernandes; Giuseppe Palmisano; José B S Ferraz; Heidge Fukumasu
Journal:  Sci Rep       Date:  2019-03-29       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.