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Transcriptomic comparison of liver tissue between Anqing six-end-white pigs and Yorkshire pigs based on RNA sequencing

文献类型： 外文期刊

作者： Wang, Yuanlang 1 ; Zhang, Wei 1 ; Wu, Xudong 1 ; Wu, Chaodong 1 ; Qian, Li 1 ; Wang, Li 1 ; Zhang, Xiaodong 1 ; Yang, Min 1 ;

作者机构： 1.Anhui Agr Univ, Coll Anim Sci & Technol, Anhui Prov Lab Local Anim Genet Resource Conserva, Hefei 230036, Anhui, Peoples R China

2.Anhui Acad Agr Sci, Inst Anim Husb & Vet Med, Anhui Prov Key Lab Livestock & Poultry Prod Safet, Key Lab Pig Mol Quantitat Genet, Hefei 230031, Anhui, Peoples R China

关键词： pig; liver; transcriptome sequencing; lipid metabolism

期刊名称：GENOME （ 影响因子：2.166； 五年影响因子：2.474 ）

ISSN： 0831-2796

年卷期： 2020 年 63 卷 4 期

页码：

收录情况： SCI

摘要： Chinese indigenous pig and Western commercial pig breeds show different patterns of lipid metabolism, fat deposition, and fatty acid composition; for these reasons, they have become vitally important models of energy metabolism and obesity in humans. To compare the mechanisms underlying lipid metabolism between Yorkshire pigs (lean type) and Anqing six-end-white pigs (obese type), the liver transcriptomes of six castrated boars with a body weight of approximately 100 kg (three Yorkshire and three Anqing) were analyzed by RNA-seq. The total number of reads produced for each liver sample ranged from 47.05 to 62.6 million. Among 362 differentially expressed genes, 142 were up-regulated and 220 were down-regulated in Anqing six-end-white pigs. Based on these data, 79 GO terms were significantly enriched. The top 10 (the 10 with lowest corrected P-value) si gnificantly enriched GO terms were identified, including lipid metabolic process and carboxylic acid metabolic process. Pathway analysis revealed three significantly enriched KEGG pathways including PPAR signaling pathway, steroid hormone biosynthesis, and retinol metabolism. Based on protein-protein interaction networks, multiple genes responsible for lipid metabolism were identified, such as PCK1, PPARA, and CYP7A1, and these were considered promising candidate genes that could affect porcine liver lipid metabolism and fat deposition. Our results provide abundant transcriptomic information that will be useful for animal breeding and biomedical research.

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