通过GWAS确定料[Sorghum bicolor (Moench) ]适应的遗传决定因素
Partha Pratim Behera1, Avinash Singode2, B Venkatesh Bhat2
1Department of Plant Breeding and Genetics, Assam Agricultural University, Jorhat, Assam, 785013, India.
BMC plant biology
|November 4, 2024
概括
这项研究使用全基因组关联研究 (GWAS) 确定了料中的标记特征关联. 关键的适应性特征,如开花时间和植物高度与特定的遗传标记有关,有助于培育优质料品种.
科学领域:
- 植物遗传学和育种.
- 农业科学 农业科学
- 基因组学就是基因组学.
背景情况:
- 料糖果对于牲畜料至关重要,因为它具有适应性和生产力.
- 可持续的料生产依赖于有弹性的作物品种.
- 识别适应性特征的遗传标记对于作物改进至关重要.
研究的目的:
- 对95种料的基因型进行全基因组关联研究 (GWAS).
- 识别适应性特征的标记特征关联 (MTA),包括产量和开花.
- 分析料的种群结构和链接不平衡 (LD).
主要方法:
- 使用GLM,MLM和FarmCPU模型进行全基因组关联研究 (GWAS).
- 对41,854个多态单核酸多态 (SNP) 的分析.
- 调查人口结构和链接不平衡 (LD) 衰退.
主要成果:
- 确定了两个不同的亚种群组.
- 通过多个GWAS模型共同检测出12种显著的定量特征核酸 (QTNs).
- QTNs与50-50%的开花日,叶与茎的比例,植物高度和其他适应性特征有关,涉及17个假定候选基因.
结论:
- 农场CPU模型在控制GWAS中的假阳性和假阴性方面被证明最有效.
- 新发现的QTNs为识别新型候选基因提供了潜力.
- 这些发现可以通过标记辅助选择和转基因方法推进料的育种,从而提高粮食安全.
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