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不同繁殖力绵羊卵巢转录组比较分析
刘在霞^1,2,刘永斌³,石彩霞¹,谷明娟¹,满达¹,王宇⁴,付绍印⁵,何小龙⁵,戴伶俐^1,2,6,白音巴图^1,2,鲍艳春^1,2,张文广^1,2,7,娜日苏^1
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(1.内蒙古农业大学动物科学学院, 呼和浩特 010018;2.内蒙古自治区农业基因组大数据工程研究中心, 呼和浩特 010018;3.内蒙古大学生命科学学院, 呼和浩特 010021;4.内蒙古农业大学兽医学院, 呼和浩特 010018;5.内蒙古自治区农牧业科学院畜牧研究所, 呼和浩特 010031;6.内蒙古自治区农牧业科学院兽医研究所, 呼和浩特 010031;7.内蒙古农业大学生命科学学院, 呼和浩特 010018)

摘要:

为深入探索影响绵羊繁殖力的分子调控机制，本研究对16个产多羔的高繁绵羊和产单羔的低繁绵羊的卵巢转录组数据进行分析，使用WGCNA和eGWAS构建绵羊卵巢加权基因共表达网络和基于表达的全基因组关联，使用DESeq2进行差异基因分析，并通过EWSS挖掘繁殖高分化基因。结果表明:1)高繁绵羊和低繁绵羊卵巢组织共表达26 747个基因。2)17 908个高变异基因被聚为9个共表达基因模块。3)884个差异表达基因中高繁绵羊的上调表达基因多于低繁绵羊。4)获得28 727个高质量的SNPs变异位点，筛选到232个极高度变异的SNPs。5)通过多种方法整合筛选到12个影响绵羊繁殖力高度分化的基因(FGD4、LHFPL2、PPIL6、MILR1、PPP1R9B、NUP62、POU2F3、PHLDB1、SH3PXD2B、XPC、DAXX和MXRA5)。综上，本研究揭示了绵羊卵巢基因的表达模式及多维度筛选的绵羊繁殖力差异基因，最终找到12个可能调控绵羊繁殖相关的关键基因，为绵羊繁殖研究提供理论依据和数据支撑。

关键词: 绵羊产羔数繁殖繁殖基因

DOI：10.11841/j.issn.1007-4333.2023.12.12

投稿时间：2023-05-09

基金项目:内蒙古自治区自然科学基金项目(2021ZD05)；国家重点研发计划(2021YFD1200905)；内蒙古自治区科技重大专项(2020ZD0003,2019ZD016,2021ZD0009)；内蒙古自治区科技计划(2021GG0012,2021GG008)；财政部和农业农村部:国家现代农业产业技术体系资助(CARS-38)

Comparative analysis of ovary transcriptome of sheep with different fecundity

LIU Zaixia^1,2,LIU Yongbin³,SHI Caixia¹,GU Mingjuan¹,Manda¹,WANG Yu⁴,FU Shaoyin⁵,HE Xiaolong⁵,DAI Lingli^1,2,6,Baiyinbatu^1,2,Bao Yanchun^1,2,ZHANG Wenguang^1,2,7*,Narisu^1*

(1.College of Animal Science and Technology, Inner Mongolia Agricultural University, Hohhot 010018, China;2.Inner Mongolia Engineering Research Center of Genomic Big Data for Agriculture, Hohhot 010018, China;3.College of Life Sciences, Inner Mongolia Agricultural University, Hohhot 010021, China;4.College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot 010018, China;5.Animal Husbandry Institute, Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China;6.Veterinary Research Institute, Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China;7.College of Life Sciences, Inner Mongolia Agricultural University, Hohhot 010018, China)

Abstract:

In order to further explore the molecular regulation mechanism affecting sheep fertility, the ovarian transcriptome data of 16 high-breed sheep with many lambs and low-breed sheep with single lambs were analyzed. The WGCNA and eGWAS were used to construct ovine ovarian weighted gene co-expression network and expression-based genome-wide association, DESeq2 was used for differential gene analysis, and EWSS was used to mine the highly differentiated reproductive genes. The results showed that: 1)26 747 genes were expressed in ovarian tissues of high-breeding sheep and low-breeding sheep; 2)17 908 highly variable genes were clustered into 9 co-expressed gene modules; 3)Among the 884 differentially expressed genes, the up-regulated expression genes of high-prolificacy sheep were more than those of low-prolificacy sheep; 4)A total of 28 727 high-quality SNPs were obtained, and 232 highly variable SNPs were screened; 5)Twelve highly differentiated genes(FGD4、LHFPL2、PPIL6、MILR1、PPP1R9B、NUP62、POU2F3、PHLDB1、SH3PXD2B、XPC、DAXX and MXRA5)affecting sheep fecundity were screened by multiple methods. In summary, this study revealed the expression pattern of sheep ovarian genes and multi-dimensional screening of sheep fertility difference genes, and finally found 12 key genes that may regulate sheep reproduction, providing theoretical basis and data support for sheep reproduction research.

Key words: sheep litter size reproduction reproductive genes