Literature DB >> 23442649

Changes in phosphorylation of myofibrillar proteins during postmortem development of porcine muscle.

Honggang Huang1, Martin R Larsen, René Lametsch.   

Abstract

A gel-based phosphoproteomic study was performed to investigate the postmortem (PM) changes in protein phosphorylation of the myofibrillar proteins in three groups of pigs with different pH decline rates, from PM 1 to 24 h. The global phosphorylation level in the group with a fast pH decline rate was higher than that in the slow and intermediate groups at early PM time, but became the lowest at 24 h. The protein phosphorylation level of seven individual protein bands was only significantly (p<0.05) affected by PM time, and two protein bands were subjected to a synergy effect between PM time and pH decline rate. A total of 35 non-redundant highly abundant proteins were identified from 19 protein bands; most of the identified proteins were sarcomeric function-related proteins. Myosin-binding protein C, troponin T, tropomyosin and myosin regulatory light chain 2 were identified in the highly phosphorylated protein bands with the highest scores. The results indicate that the phosphorylation pattern of myofibrillar proteins in PM muscle is mainly changed with PM time, but only to a minor extent influenced by the rate of pH decline, suggesting that the phosphorylation of myofibrillar proteins may be related to the meat rigor mortis and quality development.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23442649     DOI: 10.1016/j.foodchem.2012.03.132

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Phosphoproteomic profiling of myofibrillar and sarcoplasmic proteins of muscle in response to salting.

Authors:  Caixia Zhang; Zhenyu Wang; Zheng Li; Qingwu Shen; Lijuan Chen; Lingling Gao; Dequan Zhang
Journal:  Food Sci Biotechnol       Date:  2016-08-31       Impact factor: 2.391

2.  Genetic Basis of Dorper Sheep (Ovis aries) Revealed by Long-Read De Novo Genome Assembly.

Authors:  Guoyan Qiao; Pan Xu; Tingting Guo; Yi Wu; Xiaofang Lu; Qingfeng Zhang; Xue He; Shaohua Zhu; Hongchang Zhao; Zhihui Lei; Weibo Sun; Bohui Yang; Yaojing Yue
Journal:  Front Genet       Date:  2022-04-11       Impact factor: 4.772

  2 in total

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