生物技术通报 ›› 2026, Vol. 42 ›› Issue (10): 55-66.doi: 10.13560/j.cnki.biotech.bull.1985.2025-1424

• 研究报告 • 上一篇    

基于WGCNA的玉米雄穗耐热相关共表达模块鉴定和核心基因发掘

秦天元, 吕玉平, 阿不来提·阿布拉, 韩登旭, 董远, 张雪, 杨杰()   

  1. 新疆维吾尔自治区农业科学院作物研究所,乌鲁木齐 830091
  • 收稿日期:2025-12-26 出版日期:2026-10-26 发布日期:2026-10-15
  • 通讯作者: 杨杰155165876@qq.com
  • 基金资助:
    新疆维吾尔自治区“天池英才”项目,新疆维吾尔自治区农业科学院稳定支持(xjnkywdzc-2024003-13);新疆维吾尔自治区“天池英才”项目,新疆维吾尔自治区农业科学院稳定支持(xjnkywdzczc-2025001-43);新疆维吾尔自治区重大科技专项(2024A02003-2);新疆维吾尔自治区重点研发计划(2024B02008-1);新疆维吾尔自治区“天山英才”项目

Identification of Heat-responsive Co-expression Modules and Mining of Hub Genes in Maize Tassel Based on WGCNA

QIN Tian-yuan, LYU Yu-ping, ABULAITI Abula, HAN Deng-Xu, DONG Yuan, ZHANG Xue, YANG Jie()   

  1. Institute of Crop Research, Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region, Urumqi 830091
  • Received:2025-12-26 Published:2026-10-26 Online:2026-10-15

摘要:

目的 挖掘玉米中与热胁迫调控通路、抗逆指标紧密相关的核心基因,为解析玉米耐热机理提供新方向。 方法 选用耐热性较强的自交系PHBA6和热敏感自交系吉63为材料,分别在田间和温室条件下种植,于开花前期实施热胁迫处理。基于转录组测序分析,系统比较热胁迫条件下2种基因型雄穗的分子响应特征。 结果 在PHBA6中共鉴定1 288个差异表达基因,在吉63中共鉴定到912个差异表达基因。进一步通过加权基因共表达网络分析(weighted gene co-expression network analysis, WGCNA)构建与抗逆表型性状相关的基因共表达网络,共鉴定出15个与雄穗耐热性显著相关的基因模块。其中,4个与目标性状相关性最高的模块中进一步筛选出一批潜在关键基因,这些基因主要涉及转录调控、蛋白稳态维持、活性氧代谢及胁迫信号转导等生物学过程。 结论 系统揭示了玉米雄穗在热胁迫下的关键调控网络特征,明确了一批与耐热性密切相关的核心基因及其潜在调控通路。

关键词: 玉米, 热胁迫, 加权基因共表达网络, 转录组学

Abstract:

Objective To identify hub genes closely associated with heat stress regulatory pathways and stress-resistance traits, and to provide new insights into the molecular mechanisms underlying heat tolerance in maize (Zea mays). Method A heat-tolerant inbred line, PHBA6, and a heat-sensitive inbred line, Ji63, were used as experimental materials. Plants were grown under both field and greenhouse conditions, and heat stress was imposed at the early flowering stage. Based on transcriptome sequencing, the molecular response characteristics of tassels from the two genotypes under heat stress were systematically compared. Result A total of 1 288 differentially expressed genes (DEGs) were identified in PHBA6, whereas 912 DEGs were detected in Ji63 under heat stress. Weighted gene co-expression network analysis (WGCNA) was further performed to construct gene co-expression networks associated with stress-resistance phenotypic traits, resulting in the identification of 15 gene modules significantly correlated with tassel heat tolerance. Among them, four modules showing the strongest correlations with target traits were selected, and a set of potential key genes was screened. These genes were mainly involved in biological processes such as transcriptional regulation, protein homeostasis maintenance, reactive oxygen species metabolism, and stress signal transduction. Conclusion This study systematically reveals the key regulatory network characteristics of maize tassels under heat stress and identifies a group of hub genes closely associated with heat tolerance and their potential regulatory pathways.

Key words: maize, heat stress, weighted gene co-expression network, transcriptome