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对玉米 (Zea mays L.) 中各种非生物性压力的Meta-QTL分析和候选基因鉴定及其对育种计划的影响

Seema Sheoran^1,2, Mamta Gupta¹, Shweta Kumari³

¹ICAR-Indian Institute of Maize Research, PAU Campus, Ludhiana, 141004 India.

Molecular breeding : new strategies in plant improvement

|June 13, 2023

概括

全球气候变化导致多种非生物压力影响玉米生产. 这项研究确定了32个元定量特征位点 (meta-QTL) 和1907个候选基因,通过标记器辅助选择改善玉米的应激耐受性.

科学领域:

植物遗传学和育种.
农业科学农业科学
适应气候变化适应气候变化

背景情况:

全球气候变化加剧了影响玉米产量的非生物压力 (干旱,热量,盐度).
玉米中无生物应激耐受性的现有定量特征位置 (QTL) 是众多的,但在育种中未得到充分利用.
超级QTL分析提供了一种强大的方法,用于识别标记器辅助内进化的稳定QTL.

研究的目的:

对已报告的玉米非生物应激耐受性QTL.进行元-QTL分析.
为了确定稳定的meta-QTL和相关候选基因,以适应气候变化的玉米育种.
为玉米中耐压基因的功能验证提供基础.

主要方法:

从33项已发表的关于玉米非生物应激耐受性的研究中编制了542个QTL.
在244个主要QTL (>10%的表型变异) 上使用BiomercatorV4.2.3进行了meta-QTL分析.
识别了32个元QTL和1907个候选基因,跨越多样化的遗传和环境背景.

主要成果:

检测到32个元QTL与对各种非生物压力的耐受性相关.
确定了特定的元QTL (例如,MQTL2.1,5.1,5.2),控制了组合应激耐受性特征.
发现了来自重要的转录因子家族 (ERF,MYB,bZIP,WRKY等) 的候选基因. 与压力耐受性有关. 压力耐受性与压力耐受性有关.

结论:

已识别的元QTL是开发适应气候变化的玉米品种的关键资源.
这项研究促进了在玉米育种计划中增强非生物应激耐受性的标记器辅助选择.
进一步对候选基因的功能验证将加深对玉米应激反应机制的理解.

关键词:

无生物应激应激是一种非生物应激.候选基因是一个候选基因.玉米玉米玉米是一种进行meta-QTL分析.

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