Literature DB >> 26344128

Coherent correlation networks among protein biomarkers of beef tenderness: What they reveal.

Mohammed Gagaoua1, E M Claudia Terlouw2, Abdelghani Boudjellal3, Brigitte Picard4.   

Abstract

The development of proteomic biomarkers for meat tenderness remains an important challenge. The present study used Longissimus thoracis (LT) and Semitendinosus (ST) muscles of young bulls of three continental breeds (Aberdeen Angus, Blond d'Aquitaine and Limousin) to i) identify cellular pathways robustly related with meat tenderness, using potential protein biomarkers and ii) describe biochemical mechanisms underlying muscle to meat conversion. Correlation networks reveal robust correlations, i.e. present for at least two breeds, between potential meat tenderness biomarkers. For the two muscles of the three breeds, DJ-1 and Peroxiredoxin 6 were consistently correlated with Hsp20 and μ-calpain, respectively. For the three breeds, μ-calpain was related to Hsp70-8 in the LT muscle. Various correlations were muscle specific. For the three breeds, DJ-1 was correlated with Hsp27 for the ST, and with ENO3 and LDH-B for the LT muscle. Overall, in the LT, more correlations were found between proteins related to the glycolytic pathway and in the ST, with the small Hsps (Hsp20, 27 and αB-crystallin). Hsp70-Grp75 appeared involved in several relevant biological pathways. At the scientific level, results give insights in biological functions involved in meat tenderness. Further studies are needed to confirm the possible use of these biomarkers in the meat industry to improve assurance of good meat qualities.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Beef; Biomarkers; Breed; Correlation networks; Meat tenderness; Muscle

Mesh:

Substances:

Year:  2015        PMID: 26344128     DOI: 10.1016/j.jprot.2015.08.022

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  7 in total

1.  Calcium Homeostasis and Muscle Energy Metabolism Are Modified in HspB1-Null Mice.

Authors:  Brigitte Picard; Malek Kammoun; Mohammed Gagaoua; Christiane Barboiron; Bruno Meunier; Christophe Chambon; Isabelle Cassar-Malek
Journal:  Proteomes       Date:  2016-05-04

2.  Differences in Beef Quality between Angus (Bos taurus taurus) and Nellore (Bos taurus indicus) Cattle through a Proteomic and Phosphoproteomic Approach.

Authors:  Rafael Torres de Souza Rodrigues; Mario Luiz Chizzotti; Camilo Elber Vital; Maria Cristina Baracat-Pereira; Edvaldo Barros; Karina Costa Busato; Rafael Aparecido Gomes; Márcio Machado Ladeira; Taiane da Silva Martins
Journal:  PLoS One       Date:  2017-01-19       Impact factor: 3.240

3.  Statistical model choice including variable selection based on variable importance: A relevant way for biomarkers selection to predict meat tenderness.

Authors:  M P Ellies-Oury; M Chavent; A Conanec; M Bonnet; B Picard; J Saracco
Journal:  Sci Rep       Date:  2019-07-10       Impact factor: 4.379

4.  A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner-Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls.

Authors:  Yao Zhu; Mohammed Gagaoua; Anne Maria Mullen; Alan L Kelly; Torres Sweeney; Jamie Cafferky; Didier Viala; Ruth M Hamill
Journal:  Foods       Date:  2021-04-27

Review 5.  Expression Marker-Based Strategy to Improve Beef Quality.

Authors:  Isabelle Cassar-Malek; Brigitte Picard
Journal:  ScientificWorldJournal       Date:  2016-03-15

Review 6.  How Muscle Structure and Composition Influence Meat and Flesh Quality.

Authors:  Anne Listrat; Bénédicte Lebret; Isabelle Louveau; Thierry Astruc; Muriel Bonnet; Louis Lefaucheur; Brigitte Picard; Jérôme Bugeon
Journal:  ScientificWorldJournal       Date:  2016-02-28

7.  Beef tenderness and intramuscular fat proteomic biomarkers: muscle type effect.

Authors:  Brigitte Picard; Mohammed Gagaoua; Marwa Al-Jammas; Leanne De Koning; Albéric Valais; Muriel Bonnet
Journal:  PeerJ       Date:  2018-06-07       Impact factor: 2.984

  7 in total

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