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园艺学报 ›› 2026, Vol. 53 ›› Issue (1): 257-274.doi: 10.16420/j.issn.0513-353x.2024-0996

• 植物保护 • 上一篇    下一篇

基于WGCNA的辣椒抗疫病关键基因的挖掘

石凤岩1, 魏美君2, 王秀雪1, 张曦1, 邹春蕾1,*()   

  1. 1 辽宁省农业科学院蔬菜研究所, 沈阳 110161
    2 沈阳农业大学园艺学院, 沈阳 110866
  • 收稿日期:2025-04-01 修回日期:2025-11-25 出版日期:2026-01-25 发布日期:2026-01-26
  • 通讯作者:
  • 基金资助:
    “十四五”国家重点研发计划项目(2023YFD1600200); 中国博士后科学基金面上资助“地区专项支持计划”项目(2024MD753946); 辽宁省农业科学院院长基金项目(2023BS0801)

Discovery of Key Genes for Pepper Resistance to Phytophthora Blight Based on WGCNA

SHI Fengyan1, WEI Meijun2, WANG Xiuxue1, ZHANG Xi1, ZOU Chunlei1,*()   

  1. 1 Vegetable Research InstituteLiaoning Academy of Agricultural Sciences, Shenyang 110161, China
    2 College of HorticultureShenyang Agricultural University, Shenyang 110866, China
  • Received:2025-04-01 Revised:2025-11-25 Published:2026-01-25 Online:2026-01-26

摘要:

辣椒疫病是由辣椒疫霉菌侵染引起的一种极具破坏性的土传病害,严重制约辣椒生产。目前辣椒抗疫病的分子机制尚不清楚,抗性基因的挖掘和功能分析是抗病育种的基础和前提。通过前期筛选,获得了对辣椒疫霉菌1、2和3号生理小种均表现免疫性的辣椒高代自交系ZCM334,该品系在接菌后,所有植株没有任何感病症状。在接菌后不同时间点(0、12、24和48 h)采集ZCM334和感病材料Early Calwonder的根部样本,并进行转录组测序和加权基因共表达网络分析(weighted gene co-expression network analysis,WGCNA)。共鉴定到17个共表达模块,其中4个与ZCM334抗疫病性呈显著正相关。功能富集分析结果显示,上述4个模块中的基因主要富集在植物激素信号转导、糖酵解、葡萄糖生成以及脂肪酸降解等代谢通路。对这4个模块作相关性分析,预测出12个可能与辣椒抗疫病相关的核心基因,其中包括6个已知功能基因(CA06g02420、CA06g08970、CA01g15560、CA09g14900、CA09g14910和CA09g15310)和6个新基因(novel.5608、novel.2732、novel.3300、novel.752、novel.2181和novel.12038),并构建了基因调控网络。qRT-PCR分析发现,这12个核心基因在ZCM334中显著高表达,且在接菌后24或48 h表达量最高。

关键词: 辣椒, 辣椒疫霉菌, 抗病性, 基因共表达网络, 基因挖掘, 核心基因, 代谢通路

Abstract:

Phytophthora blight is a highly destructive soil-borne disease caused by Phytophthora capsici Leonian,which seriously limits pepper production. At present,the molecular mechanism of pepper’s resistance to phytophthora blight is unclear,and the excavation and functional analysis of resistance genes are the basis and prerequisite for phytophthora blight-resistant breeding. A high- generation inbred line ZCM334 of pepper was obtained through preliminary screening,which is immune to physiological races 1,2,and 3 of P. capsici. After inoculation,all plants showed no signs of infection. Transcriptome sequencing and weighted gene co-expression network analysis(WGCNA)were performed on the roots of ZCM334 and susceptible material Early Calwonder at different stages(0,12,24,and 48 h)before and after inoculation. A total of 17 co-expression modules were identified,and 4 modules were screened for significant positive correlation with the resistance to phytophthora blight of ZCM334. The functional enrichment analysis results showed that the target module genes were mainly enriched in metabolic pathways such as plant hormone signal transduction,glycolysis,glucose production,and fatty acid degradation. Correlation analysis was conducted on these four modules to predict 12 hub genes that may be related to pepper resistance to phytophthora blight,including 6 known functional genes(CA06g02420,CA06g08970,CA01g15560,CA09g14900,CA09g14910,and CA09g15310)and 6 new genes(novel.5608,novel.2732,novel.3300,novel.752,novel.2181,and novel.12038),and a gene regulatory network was constructed. qRT-PCR analysis revealed that these 12 hub genes were highly expressed in ZCM334,with the highest expression levels observed 24 or 48 hours after inoculation.

Key words: pepper, Phytophthora capsici, disease resistance, gene co-expression network, gene mining, hub gene, metabolic pathway