中国畜牧兽医 ›› 2025, Vol. 52 ›› Issue (4): 1455-1467.doi: 10.16431/j.cnki.1671-7236.2025.04.001

• 生物技术 • 上一篇    下一篇

杜洛克猪×二花脸猪F2代杂交猪免疫性状全基因组关联分析

苗娜1, 乔嘉坤1, 杨慧1, 韩萍萍1, 许方军1, 车兆轩1, 代翔毓1, 徐明航1, 龙志伟1, 朱猛进1,2   

  1. 1. 华中农业大学, 农业动物遗传育种与繁殖教育部重点实验室, 武汉 430070;
    2. 华中农业大学, 生猪健康养殖协同创新中心, 武汉 430070
  • 收稿日期:2024-08-12 发布日期:2025-03-29
  • 通讯作者: 朱猛进 E-mail:zhumengjin@mail.hzau.edu.cn
  • 作者简介:苗娜,E-mail:miaona@webmail.hzau.edu.cn。
  • 基金资助:
    国家自然科学基金(31961143020);国家重点研发计划(2021YFD1301201);国家生猪产业技术体系项目(CARS-35)

Genome Wide Association Study of Immune Traits in Duroc×Erhualian F2 Generation Pigs

MIAO Na1, QIAO Jiakun1, YANG Hui1, HAN Pingping1, XU Fangjun1, CHE Zhaoxuan1, DAI Xiangyu1, XU Minghang1, LONG Zhiwei1, ZHU Mengjin1,2   

  1. 1. Key Labortory of Agricultural Animal Genetics, Breeding, and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China;
    2. The Cooperative Innovation Center for Sustainable Pig Production, Huazhong Agricultural University, Wuhan 430070, China
  • Received:2024-08-12 Published:2025-03-29

摘要: 【目的】猪是重要的农业动物,其免疫性状的解析对于提高生产效率和抗病能力至关重要。本研究旨在鉴别与杜洛克猪×二花脸猪F2代杂交猪免疫性状相关的候选基因,为猪抗病育种提供重要的候选基因信息。【方法】采集294头杜洛克猪×二花脸猪F2代杂交猪出生后24 h内的耳、尾组织样本,提取基因组DNA,并在35日龄时采集血液样本用于细胞因子检测。通过对杜洛克猪×二花脸猪F2代杂交猪资源群体的细胞因子(IFN-α、IFN-γ、IGG、IL8、IL10)相关免疫性状进行全基因组关联分析(GWAS),识别与性状相关的单核苷酸多态性(SNP)位点,使用IFN-γ/IL10值(IFNGIL10)进一步鉴定影响猪免疫性状的相关SNP位点与候选基因,对鉴定的相关基因进行GO功能与KEGG通路富集分析,并对候选基因编码蛋白进行蛋白互作(PPI)分析。【结果】GWAS共鉴定出10个SNPs,这些SNPs定位到21个与免疫性状相关的候选基因:CH25HLIPASIGMAR1、PIP5KICPLCZ1、PIK3C2GCNTFRIL11RASAP30、HMGB2、CCL21、CCL19、CCL27、GNA11、GNA15、DSCC1、TERF2IPFZR1、ENPP2、CACTINFAS。GO功能富集结果显示,候选基因显著富集在趋化因子活性、细胞对白细胞介素-1的反应和炎症反应等条目。KEGG通路富集结果显示,候选基因显著富集在细胞因子与受体结合通路、肌醇磷酸代谢、钙信号通路等通路。PPI分析共构建了12个子网络,表明这些候选基因之间存在潜在联系,在同一通路上进行显著富集,并共同参与生物过程以发挥其生物功能。【结论】本研究共发现10个与猪免疫性状关联的SNPs位点,结合富集分析与PPI网络筛选到21个目标性状候选基因。本研究结果不仅加深了对猪免疫特性分子基础的理解,也为猪的抗病育种提供了理论依据。

关键词: 猪; 细胞因子; 免疫性状; 全基因组关联分析; 候选基因

Abstract: 【Objective】 Pigs play a crucial role in agriculture,and the analysis of their immune traits holds significant importance for enhancing production efficiency and disease resistance.The objective of this study was to identify potential candidate genes associated with immune traits in Duroc×Erhualian F2 generation hybrid pigs,thereby providing valuable gene information for breeding programs aimed at improving porcine disease resistance.【Method】 A total of 294 Duroc×Erhualian F2 generation hybrid pigs were collected from ear and tail tissue samples within 24 hours after birth,and genomic DNA was extracted.Blood samples were collected at 35 days of age to detect cytokines.Genome-wide association study (GWAS) was performed on the immune traits related to cytokines (IFN-α,IFN-γ,IGG,IL8 and IL10) in Duroc×Erhualian F2 generation hybrid pig resource population to identify single nucleotide polymorphism (SNP) site related to the traits.On this basis,the IFN-γ/IL10 value (IFNGIL10) was utilized for further identification of the related SNP and candidate gene influencing the immune traits of pigs.Subsequently,GO function and KEGG pathway enrichment analysis were performed on the identified related genes,and protein-protein interaction (PPI) analysis was performed on the proteins encoded by the candidate genes.【Result】 A total of 10 SNPs were identified through GWAS analysis,which specifically targeted 21 candidate genes associated with immune traits (CH25H,LIPA,SIGMAR1,PIP5KIC,PLCZ1,PIK3C2G,CNTFR,IL11RA,SAP30,HMGB2,CCL21,CCL19,CCL27,GNA11,GNA15,DSCC1,TERF2IP,FZR1,ENPP2,CACTIN and FAS).GO function enrichment analysis results indicated that these candidate genes were significantly enriched in terms such as chemokine activity,cellular response to interleukin-1 and inflammatory response.KEGG enrichment analysis results demonstrated that the candidate genes were significantly enriched in pathways such as cytokine-cytokine receptor interaction,inositol phosphate metabolism and calcium signaling pathway.Furthermore,the PPI analysis constructed a total of 12 subnetworks,suggesting potential interactions among these candidate genes,which were notably enriched within the same pathway,collaboratively participating in biological processes to fulfill their respective functions.【Conclusion】 The present study identified 10 SNPs associated with porcine immune traits through GWAS,and further selected 21 candidate genes for target traits by integrating enrichment analysis and PPI analysis.Overall,the findings from this study not only deepened our understanding of the molecular basis underlying porcine immune traits,but also provided a theoretical foundation for porcine disease resistance breeding.

Key words: pigs; cytokines; immune traits; genome-wide association study; candidate genes

中图分类号: