畜牧兽医学报 ›› 2021, Vol. 52 ›› Issue (2): 364-375.doi: 10.11843/j.issn.0366-6964.2021.02.009

• 遗传育种 • 上一篇    下一篇

驴肌内脂肪沉积关键调控因子研究

李武峰1*, 孙瑜彤1, 关家伟1, 赵婧微1, 杜敏2*   

  1. 1. 山西农业大学生命科学学院, 太谷 030801;
    2. 美国华盛顿州立大学动物科学系, 美国华盛顿州普尔曼 99164-6310
  • 收稿日期:2020-07-15 出版日期:2021-02-23 发布日期:2021-02-24
  • 通讯作者: 李武峰,主要从事动物分子遗传育种研究,E-mail:leewf1967@163.com;杜敏,主要从事动物肌肉和脂肪细胞发育研究,E-mail:min.du@wsu.edu
  • 作者简介:李武峰(1967-),男,陕西安康人,副教授,博士,主要从事动物分子遗传育种研究,E-mail:leewf1967@163.com
  • 基金资助:
    山西省重点研发计划(指南)项目,国际科技合作方面(201803D421022);山西农业大学横向科技项目(2019HX78)

Key Regulatory Factors of Intramuscular Fat Deposition in Donkey

LI Wufeng1*, SUN Yutong1, GUAN Jiawei1, ZHAO Jingwei1, DU Min2*   

  1. 1. College of Life Sciences, Shanxi Agricultural University, Taigu 030801, China;
    2. Department of Animal Sciences, Washington State University, Pullman WA 99164-6310, USA
  • Received:2020-07-15 Online:2021-02-23 Published:2021-02-24

摘要: 旨在基于转录组(RNA-Seq)和代谢组(UPLC-MS/MS)关联分析,筛选驴肌内脂肪沉积的关键调控因子。本研究选用饲养条件相同、平均体重为236.10 kg的雌性广灵驴30头,对其背最长肌进行肌内脂肪(IMF)含量的测定,选择年龄一致的驴,并根据其IMF含量的高低分为两组:低肌内脂肪组(L组,每组3头)与高肌内脂肪组(H组,每组3头),进行转录组学和代谢组学测序分析,对差异表达基因(DEGs)和差异代谢物(DAMs)进行KEGG关联分析和相关性分析,并构建相关性网络图。结果表明,在L组和H组之间共鉴定出72种差异代谢物,其中27种代谢物上调,45种代谢物下调;关联分析表明,在差异表达基因和差异代谢物之间共有35条共富集通路,其中甘油脂代谢、甘油磷脂代谢、花生四烯酸代谢、亚油酸代谢和不饱和脂肪酸的生物合成5条通路与IMF沉积相关,有8个差异表达基因和15种差异代谢物在这5条通路中富集,包括DGKADGAT2、PLA2G3、GPCPD1和SCD等差异表达基因以及甘油-3-磷酸(glycerol-3-phosphate,G3P)、溶血卵磷脂酸16:0(lysophosphatidic acid,LPA)、溶血卵磷脂酰胆碱16:0(lysophosphatidylcholine,LPC)、二十二碳六烯酸(docosahexaenoic acid,DHA)和花生四烯酸(arachidonic acid,AA)等差异代谢物。另外,通过网络图分析发现,甘油脂代谢通路和甘油磷脂代谢通路中的DGAT2、PLA2G3、GPCPD1和DGKA基因与它们相应的代谢产物具有高度相关性。本研究所鉴定差异表达基因可作为IMF沉积相关的潜在候选基因,为今后进一步探究驴IMF沉积的分子调控机制和驴的肉品质分子育种提供理论依据。

关键词: 广灵驴, 肌内脂肪沉积, 转录组, 代谢组, 关联分析

Abstract: The aim of this study was to screen the key regulatory factors of intramuscular fat deposition in donkey based on transcriptome (RNA-Seq) and metabolome (UPLC-MS/MS) association analysis. Thirty female Guangling donkeys with the same feeding condition and average body weight of 236.10 kg were selected to detect the content of intramuscular fat (IMF) in the longi-ssimus dorsi. According to the level of IMF content, the donkeys were divided into two groups: the low-IMF group (L group, n=3) and the high-IMF group (H group, n=3), the transcriptomics and metabolomics sequencing analysis were performed. KEGG association analysis and correlation analysis of differentially expressed genes (DEGs) and differential metabolites (DAMs) were carried out, and the correlation network was constructed. The results showed that a total of 72 differential metabolites were identified between L group and H group, of which 27 metabolites were up-regulated and 45 metabolites were down-regulated. Correlation analysis showed that a total of 35 co-enriched pathways were identified between DEGs and DAMs, among them, glycerolipid metabolism, glycerophospholipid metabolism, arachidonic acid metabolism, linoleic acid metabolism and biosynthesis of unsaturated fatty acids pathways were associated with the IMF deposition. A total of 8 DEGs and 15 DAMs were enriched in the 5 pathways, including DGKA, DGAT2, PLA2G3, GPCPD1 and SCD, as well as the DAMs such as glycerol-3-phosphate(G3P), lysophosphatidic acid(LPA), lysophosphatidylcholine(LPC), docosahexaenoic acid(DHA) and arachidonic acid(AA). In addition, the DGAT2, PLA2G3, GPCPD1 and DGKA genes in the glycerolipid metabolism and glycerophospholipid metabolism pathways were found to be highly correlated with their corresponding metabolites by network map analysis. DEGs identified in this study might be potential candidate genes related to IMF deposition, which would provide a theoretical basis for further research on the molecular regulation mechanism of IMF deposition and molecular breeding for meat quality of donkey.

Key words: Guangling donkey, intramuscular fat deposition, transcriptome, metabolome, association analysis

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