使用全基因组关联研究的头米和粉粒百分比的遗传结构
Darlene L Sanchez1, Stanley Omar Pb Samonte1, Lloyd T Wilson1
1Texas A&M AgriLife Research Center, Beaumont, TX, United States.
Frontiers in plant science
|December 4, 2023
概括
研究人员确定了与头米和米中石灰质谷物的百分比相关的遗传标记. 这一发现有助于通过分子标记物开发具有更好的谷物质量的改良大米品种.
科学领域:
- 植物遗传学 植物遗传学
- 农业科学 农业科学
- 分子生物学分子生物学
背景情况:
- 较高的米头百分比和较低的灰粒百分比对于米粒质量至关重要.
- 开发具有优质谷物质量的大米品种是农业的一个关键目标.
研究的目的:
- 分析不同加入的头米百分比 (HRP) 和灰粒百分比 (CGP) 的表型变化.
- 使用全基因组关联研究 (GWAS) 识别与HRP和CGP相关的单核酸多态 (SNP) 标记.
- 确定影响这些谷物质量特征的潜在候选基因.
主要方法:
- 对HRP和CGP的表型数据从两年 (2018-2019) 的195-199个大米加入中收集 (2018-2019).
- 全基因组关联研究 (GWAS) 使用854,832个SNP进行,并使用混合线性模型 (MLM),多位点混合模型 (MLMM) 和FarmCPU统计方法进行分析.
- 确定了显著的标记特征关联 (MTA),并与假定的候选基因联系起来.
主要成果:
- 在大米加入中观察到HRP和CGP的显著表型变异.
- 在这两年中,在HRP和CGP的各种染色体中检测到多个显著的MTA.
- 确定了HRP的5个新型MTA和CGP的10个新型MTA,其中一些与之前报告的定量特征位置共定位.
结论:
- 在米中,GWAS成功地确定了HRP和CGP的显著MTA.
- 已识别的SNP位于潜在调节谷物质量特征的候选基因内或附近.
- 对候选基因的进一步验证对于开发功能分子标记物来培育改进的米品种至关重要.
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