生物技术通报 ›› 2026, Vol. 42 ›› Issue (2): 178-187.doi: 10.13560/j.cnki.biotech.bull.1985.2025-0659

• 研究报告 • 上一篇    下一篇

玉米HSFs转录因子家族在干旱胁迫下的表达特性及功能

张冬岭1(), 张寅生2, 王建军2, 叶飞宇1, 卢子涵1, 马晨晨1, 柳华峰1, 胡德升1, 邓亚洲1, 曹丽茹1()   

  1. 1.河南省农业科学院粮食作物研究所,郑州 450002
    2.河南省长葛市农业科学研究所,长葛 461500
  • 收稿日期:2025-06-07 出版日期:2026-02-26 发布日期:2026-03-17
  • 通讯作者: 曹丽茹,女,博士,研究员,研究方向 :玉米遗传育种及生物信息学分析;E-mail: caoliru008@126.com
  • 作者简介:张冬岭,男,博士,研究方向 :玉米遗传育种及玉米非生物胁迫;E-mail: zhangdongling0626@163.com
  • 基金资助:
    河南省玉米产业技术体系(HARS-02-G1);河南省农业科学院自主创新(2025ZC19)

Expression Characteristics and Functions of HSFs Transcription Factors Family in Maize under Drought Stress

ZHANG Dong-ling1(), ZHANG Yin-sheng2, WANG Jian-jun2, YE Fei-yu1, LU Zi-han1, MA Chen-chen1, LIU Hua-feng1, HU De-sheng1, DENG Ya-zhou1, CAO Li-ru1()   

  1. 1.Grain Crop Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002
    2.Changge Academy of Agricultural Sciences in Henan, Changge 461500
  • Received:2025-06-07 Published:2026-02-26 Online:2026-03-17

摘要:

目的 鉴定分析干旱胁迫下玉米HSFs家族成员的结构和功能,为解析玉米耐旱性分子机制奠定基础。 方法 从玉米基因组数据库(MaizeGDB)中下载蛋白序列,基于Pfam数据库(PF00447)的HSF结构域,通过HMMER 3.0和BLASTP比对筛选玉米HSFs家族成员,利用ExPASy、MEGA X、GSDS、MEME、MCScanX、PlantCARE和TBtools等生物信息学工具分析预测蛋白理化性质、染色体定位、基因结构、共线性、保守基序和顺势元件等信息。基于转录组数据和实时荧光定量PCR分析,了解HSFs家族成员基因在干旱胁迫下的表达模式,挖掘响应干旱胁迫的HSFs基因。 结果 玉米中共鉴定到28个HSFs基因,编码的氨基酸数量为257‒528 aa,等电点为4.70‒9.53;不均匀地分布在10条染色体上,并且在第1染色体分布最密集;启动子区富含ABRE、MYB等逆境响应元件;共线性分析显示,玉米与水稻之间具有较强的保守性。RNA-seq和荧光定量PCR显示,有4个基因存在显著差异同时,过表达ZmHSF16可显著提高拟南芥的抗旱性(存活率提高38%‒43%),并通过降低细胞膜损伤(相对电导率减少30%)维持细胞稳态。 结论 揭示了ZmHSFs家族在干旱胁迫下的表达特性,并验证了ZmHSF16的抗旱功能。

关键词: 玉米, 热激转录因子, 干旱胁迫, 表达模式, 生物信息学

Abstract:

Objective To identify and analyze the structure and function of HSFs family members in maize (Zea mays L.)under drought stress, laying a foundation for understanding the molecular mechanism of maize drought tolerance. Method Protein sequences were downloaded from the Maize Genome Database (MaizeGDB). Based on the HSF domain of the Pfam database (PF00447), the maize HSFs family members were screened through HMMER 3.0 and BLASTP alignment. Bioinformatics tools such as ExPASy, MEGA X, GSDS, MEME, MCScanX, PlantCARE, and TBtools were used to analyze and predict information such as the physicochemical properties of proteins, chromosome localization, gene structure, collinearity, conserved mosequences, and homeotropic elements. Based on transcriptome data and real-time fluorescence quantitative PCR analysis, the expression patterns of HSFs family member genes under drought stress were revealed and explore HSFs genes that respond to drought stress. Result A total of 28 HSFs genes were identified in maize, with the number of amino acids encoded ranging from 257 to 528 aa and isoelectric points ranging from 4.70 to 9.53. It was unevenly distributed on 10 chromosomes, with the densest distribution on chromosome 1. The promoter region was rich in adverse response elements such as ABRE and MYB. Collinearity analysis showed that there was a strong conservativeness between maize and rice (Oryza sativa). RNA-seq and fluorescence quantitative PCR showed that there were significant differences in four genes. Meanwhile, the overexpression of ZmHSF16 significantly enhanced the drought resistance of Arabidopsis thaliana (survival rate increased by 38%‒43%), and maintained cell homeostasis by reducing cell membrane damage (relative conductivity decreased by 30%). Conclusion The expression characteristics of the ZmHSFs family under drought stress are revealed, and the drought resistance function of ZmHSF16 is verified.

Key words: maize, heat shock transcription factor, drought stress, expression pattern, bioinformatics