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Selection of candidate genes affecting meat quality and preliminary exploration of related molecular mechanisms in the Mashen pig

Gao, Pengfei;Cheng, Zhimin;Li, Meng;Zhang, Ningfang;Le, Baoyu;Zhang, Wanfeng;Song, Pengkang;Guo, Xiaohong;Li, Bugao;Cao, Guoqing

  • Received : 2018.09.20
  • Accepted : 2019.02.07
  • Published : 2019.08.01

Abstract

Objective: The aim of this study was to select the candidate genes affecting meat quality and preliminarily explore the related molecular mechanisms in the Mashen pig. Methods: The present study explored genetic factors affecting meat quality in the Mashen pig using RNA sequencing (RNA-Seq). We sequenced the transcriptomes of 180-day-old Mashen and Large White pigs using longissimus dorsi to select differentially expressed genes (DEGs). Results: The results indicated that a total of 425 genes were differentially expressed between Mashen and Large White pigs. A gene ontology enrichment analysis revealed that DEGs were mainly enriched for biological processes associated with metabolism and muscle development, while a Kyoto encyclopedia of genes and genomes analysis showed that DEGs mainly participated in signaling pathways associated with amino acid metabolism, fatty acid metabolism, and skeletal muscle differentiation. A MCODE analysis of the protein-protein interaction network indicated that the four identified subsets of genes were mainly associated with translational initiation, skeletal muscle differentiation, amino acid metabolism, and oxidative phosphorylation pathways. Conclusion: Based on the analysis results, we selected glutamic-oxaloacetic transaminase 1, malate dehydrogenase 1, pyruvate dehydrogenase 1, pyruvate dehydrogenase kinase 4, and activator protein-1 as candidate genes affecting meat quality in pigs. A discussion of the related molecular mechanisms is provided to offer a theoretical basis for future studies on the improvement of meat quality in pigs.

Keywords

Pig;Candidate Gene;Molecular Mechanism;Meat Quality;RNA-Seq

Acknowledgement

Supported by : Shanxi Province, National Natural Science Foundation of China