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使用NGS技术和关联映射来识别与菌体干腐烂抵抗相关的候选基因

Jan Bocianowski¹

¹Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland.

|January 23, 2024

概括

研究人员确定了与玉米中Fusarium茎腐烂抵抗相关的关键分子标记物. 这些位于特定基因中的标记物可以帮助培育更有弹性的玉米品种,并减少作物保护化学品的使用.

科学领域:

植物病理学植物病理学
遗传学是一个遗传学.
农业科学农业科学

背景情况:

类茎腐烂是一种主要的玉米疾病,需要耐药品种.
遗传耐药性减少了对农作物保护产品的依赖.
识别耐药机制对于可持续农业至关重要.

研究的目的:

确定与玉米抵抗Fusarium茎腐烂相关的分子标记物.
为了确定参与这种抗性的候选基因.
为了促进品种计划中的标记器辅助选择.

主要方法:

在两个地点对122种玉米杂交品种进行了关联映射.
下一代测序 (Illumina平台) 用于识别SilicoDArT和SNP标记物.
分析了疾病严重程度和分子标记物的数据,以发现有意义的关联.

主要成果:

确定了超过92,000个标记,其中32,900个用于关联映射.
在两个试验场所选择了10个与耐药性相关的分子标记物.
两个SNP标记物,在氨酸/氨酸蛋白激酶bsk3和氨酸激酶1基因内,显示出特别重要的意义.

结论:

特定的分子标记物,特别是酶基因中的SNP,与玉米中的Fusarium茎腐烂抵抗力密切相关.
这些标记物为旨在开发耐药玉米杂交的育种计划提供了宝贵的工具.
这些发现有助于策略疾病管理和减少农药在玉米种植中的应用.

关键词:

国家统一计划的标志物.DArT标记器的使用方法玉米玉米玉米是一种这是下一代测序.茎的腐烂,茎的腐烂.

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