Literature DB >> 30894324

Beef tenderness and intramuscular fat proteomic biomarkers: Effect of gender and rearing practices.

Brigitte Picard1, Mohammed Gagaoua2, Marwa Al Jammas3, Muriel Bonnet3.   

Abstract

This study analyzed the effect of gender on the abundances of 20 protein biomarkers of tenderness and/or intramuscular fat content in five muscles: Longissimus thoracis, previously identified as biomarkers of tenderness and/or intramuscular Semimembranosus, Rectus abdominis, Triceps brachii and Semitendinosus, from cows and steers of the Protected Designation Origin Maine Anjou. The protein abundances were quantified using Reverse Phase Protein Array with specific validated antibodies. Among the 20 studied proteins, the abundance of 8 biomarkers involved in energetic metabolism, contraction and cellular stress, was different according to gender. The gender effect was different depending on the muscle type with greater abundances in Semitendinosus, Rectus abdominis and Longissimus thoracis muscles. On the basis of animal characteristics and rearing factors, three rearing practices classes were identified for cows. Among the factors, fattening duration modified the abundance of 12 proteins mainly in Triceps brachii muscle. A positive correlation between the abundance of the small HSP20 and slaughter age was observed in the 5 muscles. Two proteins, Four and a half LIM domains 1 (FHL1) and Glycogen phosphorylase (PYGB) appeared to be muscle, gender and rearing practices independent. These results constitute valuable data to understand how to manage beef quality by controlling these different factors. SIGNIFICANCE: This study is the first to compare the relative abundance of 20 proteins previously identified as biomarkers of tenderness and/or intramuscular fat (IMF) content of beef meat between cows and steers among 5 different muscles. Its originality is in the use of Reverse Phase Protein Array for fast quantification of the proteins and the integration of data from rearing factors, carcass characteristics and biomarkers of meat qualities. The findings provide evidence for modulating biomarker levels by controlling the choice of animal type and rearing factors according to the type of muscle that would produce animals with the desired meat qualities.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Beef proteome; Gender; Proteomics; Rearing factors; Reverse phase protein array; Skeletal muscles

Year:  2019        PMID: 30894324     DOI: 10.1016/j.jprot.2019.03.010

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


  6 in total

1.  Tandem mass tag labeling to assess proteome differences between intermediate and very tender beef steaks.

Authors:  David S Dang; Chaoyu Zhai; Mahesh N Nair; Kara J Thornton; Mohammed N Sawalhah; Sulaiman K Matarneh
Journal:  J Anim Sci       Date:  2022-08-01       Impact factor: 3.338

2.  Proteomic Profile of M. longissimus thoracis from Commercial Lambs Reared in Different Forage Systems.

Authors:  Yangfan Ye; Evelyne Maes; Santanu Deb-Choudhury; Charles A Hefer; Nicola M Schreurs; Carolina E Realini
Journal:  Foods       Date:  2022-05-13

3.  Explaining Unsaturated Fatty Acids (UFAs), Especially Polyunsaturated Fatty Acid (PUFA) Content in Subcutaneous Fat of Yaks of Different Sex by Differential Proteome Analysis.

Authors:  Lin Xiong; Jie Pei; Xiaoyun Wu; Pengjia Bao; Xian Guo; Ping Yan
Journal:  Genes (Basel)       Date:  2022-04-28       Impact factor: 4.141

4.  Muscle Fatty Acids, Meat Flavor Compounds and Sensory Characteristics of Xiangxi Yellow Cattle in Comparison to Aberdeen Angus.

Authors:  Dong Chen; Xiaoyan Wang; Qian Guo; Huifen Deng; Jie Luo; Kangle Yi; Ao Sun; Kun Chen; Qingwu Shen
Journal:  Animals (Basel)       Date:  2022-04-30       Impact factor: 3.231

5.  Long-term artificial selection of Hanwoo (Korean) cattle left genetic signatures for the breeding traits and has altered the genomic structure.

Authors:  Dongwon Seo; Doo Ho Lee; Shil Jin; Jung Il Won; Dajeong Lim; Mina Park; Tae Hun Kim; Hak Kyo Lee; Sidong Kim; Inchul Choi; Jun Heon Lee; Cedric Gondro; Seung Hwan Lee
Journal:  Sci Rep       Date:  2022-04-19       Impact factor: 4.996

6.  Application of proteomics to understand the molecular mechanisms determining meat quality of beef muscles during postmortem aging.

Authors:  Bin Yang; Xuejun Liu
Journal:  PLoS One       Date:  2021-03-01       Impact factor: 3.240

  6 in total

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