畜牧兽医学报 ›› 2020, Vol. 51 ›› Issue (5): 987-996.doi: 10.11843/j.issn.0366-6964.2020.05.010

• 遗传育种 • 上一篇    下一篇

不同体重鹅肝脏转录组的功能分析

章杰1, 熊子标1, 李龙娇2, 田旭1, 揭晓蝶1, 程雅婷1, 万堃1, 刘安芳1, 向邦全2, 何航2*   

  1. 1. 西南大学动物科学学院, 荣昌 402460;
    2. 重庆三峡职业学院动物科技学院, 万州 404155
  • 收稿日期:2019-11-08 出版日期:2020-05-25 发布日期:2020-05-16
  • 通讯作者: 何航,主要从事畜禽健康养殖与动物福利研究,E-mail:swu_hh@163.com
  • 作者简介:章杰(1985-),男,四川雅安人,博士,讲师,主要从事动物遗传育种与繁殖研究,E-mail:zhangjie813@163.com;熊子标(1993-),男,贵州丹寨人,硕士生,主要从事动物遗传育种与繁殖研究,E-mail:tongxing031@qq.com
  • 基金资助:
    中央高校基本科研业务费(XDJK2019C094)

Functional Analysis of Liver Transcriptomes of Goose with Different Body Weight

ZHANG Jie1, XIONG Zibiao1, LI Longjiao2, TIAN Xu1, JIE Xiaodie1, CHENG Yating1, WAN Kun1, LIU Anfang1, XIANG Bangquan2, HE Hang2*   

  1. 1. College of Animal Science, Southwest University, Rongchang 402460, China;
    2. School of Animal Science and Technology, Chongqing Three Gorges Vocational College, Wanzhou 404155, China
  • Received:2019-11-08 Online:2020-05-25 Published:2020-05-16

摘要: 旨在探讨肝调节营养物质吸收转化影响鹅平均日增重的分子机制。本研究依据平均日增重将70日龄的四川白鹅进行分组(高:H;中:M;低:L),然后采用RNA-Seq技术分析各组肝RNA表达,筛选出差异表达基因,并对其进行功能富集及聚类关联分析。结果显示,H、M和L组的平均日增重差异显著(P<0.05),分别为(52.24±0.41)、(44.44±0.42)和(37.80±0.47)g·d-1。从测序数据分别鉴定出14 632、14 651和14 819个表达基因,其中有13 776个基因共表达。Top 100的基因表达量占所有基因表达量的65.38%~70.37%,其中,有85个共表达基因,17个特异性表达基因。鉴定出435个差异表达基因,主要富集于细胞凋亡、蛋白重折叠、胰岛素分泌、营养反应、细胞增长、氨基酸转运、cAMP信号通路等生物学过程。聚类构建的5个差异表达基因模块与平均日增重和脂质代谢指标显著相关(|r|≥ 0.75,P<0.05)。总体而言,本研究鉴定了体重相关的潜在候选基因和代谢通路,初步探讨了肝调节营养物质吸收转化影响鹅体重的分子机制,以使人们更深入地了解肝代谢如何影响鹅的体重及有助于设计新的选择策略来改善鹅的生产。

关键词: 鹅, 体重, 肝脏, 转录组, 功能

Abstract: This study aimed to explore the molecular mechanism by which the liver regulates the absorption and conversion of nutrients and affects the body weight of goose. RNA-Seq technology was used to analyze the RNA expression in livers of Sichuan White goose with different average daily gain (high:H; middle:M; low:L) at 70-days-old. The differentially expressed genes were screened, their functional enrichment and cluster correlation analysis were performed. The results showed that the average daily gain of the H, M, and L groups were significantly different (P<0.05), which were (52.24±0.41), (44.44±0.42), and (37.80±0.47) g·d-1, respectively. There were 14 632, 14 651 and 14 819 expression genes identified, of which 13 776 genes were co-expressed. The expression level of the top 100 genes accounted for 65.38%-70.37% of all gene expression, including 85 co-expression genes and 17 specific expression genes. Four hundred thirty five differentially expressed genes were identified, and mainly enriched in apoptosis, protein refolding, insulin secretion, nutritional response, cell growth, amino acid transport, and cAMP signaling pathway. The 5 gene modules constructed from differentially expressed genes were significantly associated with average daily gain and lipid metabolism index (|r|≥ 0.75, P<0.05). Overall, body weight related potential candidate genes and metabolic pathways were identified. The molecular mechanism by which the liver regulates nutrient absorption and conversion and affects the weight of goose was explored, which make us better understand how liver metabolism affects the weight of goose and can help us to design new selection strategies to improve goose production.

Key words: goose, body weight, liver, transcriptome, function

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