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Transcriptome Analysis of Compensatory Growth and Meat Quality Alteration After Varied Restricted Feeding Conditions in Beef Cattle

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2024 Mar 13
PMID 38473950
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Abstract

Compensatory growth (CG) is a physiological response that accelerates growth following a period of nutrient limitation, with the potential to improve growth efficiency and meat quality in cattle. However, the underlying molecular mechanisms remain poorly understood. In this study, 60 Huaxi cattle were divided into one ad libitum feeding (ALF) group and two restricted feeding groups (75% restricted, RF75; 50% restricted, RF50) undergoing a short-term restriction period followed by evaluation of CG. Detailed comparisons of growth performance during the experimental period, as well as carcass and meat quality traits, were conducted, complemented by a comprehensive transcriptome analysis of the muscle using differential expression analysis, gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), and weighted correlation network analysis (WGCNA). The results showed that irrespective of the restriction degree, the restricted animals exhibited CG, achieving final body weights comparable to the ALF group. Compensating animals showed differences in meat quality traits, such as pH, cooking loss, and fat content, compared to the ALF group. Transcriptomic analysis revealed 57 genes and 31 pathways differentially regulated during CG, covering immune response, acid-lipid metabolism, and protein synthesis. Notably, complement-coagulation-fibrinolytic system synergy was identified as potentially responsible for meat quality optimization in RF75. This study provides novel and valuable genetic insights into the regulatory mechanisms of CG in beef cattle.

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References
1.
Carstens G, Johnson D, Ellenberger M, Tatum J . Physical and chemical components of the empty body during compensatory growth in beef steers. J Anim Sci. 1991; 69(8):3251-64. DOI: 10.2527/1991.6983251x. View

2.
Kim D, Paggi J, Park C, Bennett C, Salzberg S . Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol. 2019; 37(8):907-915. PMC: 7605509. DOI: 10.1038/s41587-019-0201-4. View

3.
Alwarawrah Y, Kiernan K, MacIver N . Changes in Nutritional Status Impact Immune Cell Metabolism and Function. Front Immunol. 2018; 9:1055. PMC: 5968375. DOI: 10.3389/fimmu.2018.01055. View

4.
Marchais-Oberwinkler S, Henn C, Moller G, Klein T, Negri M, Oster A . 17β-Hydroxysteroid dehydrogenases (17β-HSDs) as therapeutic targets: protein structures, functions, and recent progress in inhibitor development. J Steroid Biochem Mol Biol. 2011; 125(1-2):66-82. DOI: 10.1016/j.jsbmb.2010.12.013. View

5.
Whitaker K, Totoki K, Reyes T . Metabolic adaptations to early life protein restriction differ by offspring sex and post-weaning diet in the mouse. Nutr Metab Cardiovasc Dis. 2011; 22(12):1067-74. PMC: 3183163. DOI: 10.1016/j.numecd.2011.02.007. View