Molecular mechanisms underlying the impact of muscle fiber types on meat quality in livestock and poultry

Front Vet Sci. 2023 Nov 22:10:1284551. doi: 10.3389/fvets.2023.1284551. eCollection 2023.

Abstract

In the past, the primary emphasis of livestock and poultry breeding was mainly on improving the growth rate, meat production efficiency and disease resistance. However, the improvement of meat quality has become a major industrial focus due to the ongoing advancements in livestock and poultry breeding. Skeletal muscles consist of multinucleated myofibers formed through the processes of myoblast proliferation, differentiation and fusion. Muscle fibers can be broadly classified into two main types: slow-twitch (Type I) and fast-twitch (Type II). Fast-twitch fibers can be further categorized into Type IIa, Type IIx, and Type IIb. The proportion of Type I and Type IIa muscle fibers is positively associated with meat quality, while the presence of Type IIb muscle fibers in skeletal muscle tissue is inversely related to meat quality. Consequently, muscle fiber composition directly influences meat quality. The distribution of these fiber types within skeletal muscle is governed by a complex network, which encompasses numerous pivotal regulators and intricate signaling pathways. This article aims to succinctly outline the parameters utilized for assessing meat quality, elucidate the relationship between muscle fiber composition and meat quality as well as elaborate on the relevant genetic factors and their molecular mechanisms that regulate muscle fiber types in livestock and poultry. This summary will enrich our comprehension of how to improve meat quality in livestock and poultry, providing valuable insights for future improvements.

Keywords: livestock and poultry; meat quality; mechanism; muscle fiber types; skeletal muscle.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded by the National Natural Science Foundation of China (grant nos. 31972550 and 32302727), the Guangdong Basic and Applied Basic Research Foundation (grant no. 2023A1515011057), the Natural Science Foundation of Guangdong Province (grant nos. 2020A1515011576 and 2020B1515420008), the Special Project of Seed Industry Revitalization of the Agriculture and Rural Department Guangdong Province (grant no. 2022-XPY-00-008), and the program for scientific research start-up funds of Guangdong Ocean University (grant no. 060302052104).