使用RTM和MLM-GWAS有效地识别狐尾小米 (Setaria italica) 的农学特征的QTL
Keli Dai1, Xin Wang1, Hanxiao Liu1
1College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, 030801, China.
概括
研究人员使用全基因组关联研究 (GWAS) 确定了11个农学特征的定量特征位置 (QTL). 开发了两种经过验证的标记物,用于标记物辅助的选择,以提高这一重要作物的谷物重量.
科学领域:
- 植物遗传学和基因组学
- 农学和作物科学 农学和作物科学
- 生物信息学和统计遗传学
背景情况:
- 狐尾小米 (Setaria italica) 是干旱地区的重要谷物作物,仅次于珍珠小米的种植量.
- 了解农学特征的遗传基础对于改善狐尾小米育种至关重要.
- 不同的狐尾小米加入表现出明显的基因型和地理集群.
研究的目的:
- 为了剖析狐尾小米七个关键农学特征的遗传结构.
- 确定影响这些特征的定量特征位点 (QTL) 和候选基因.
- 开发和验证用于狐尾小米育种中的标记辅助选择 (MAS) 的分子标记物.
主要方法:
- 在三种环境中评估了408种不同种类的狐尾小米的7种农学特征.
- 采用了两种全基因组关联研究 (GWAS) 模型:受限的两阶段多位元多元基因 (RTM) -GWAS和混合线性模型 (MLM) -GWAS,利用13,723个单核酸多态 (SNP).
- 进行同源基因比较,基因表达分析和哈普洛型分析以验证候选基因.
主要成果:
- 在使用RTM和MLM-GWAS的7个农学特征中确定了11个QTL.
- 通过MLM-GWAS在多个环境中发现了五个稳定的QTL.
- 确定了一种候选基因 (SETIT_006045mg),可以提高每块谷物质量,并验证了两种标记物 (cGWP6045和ktGW2906) 用于标记物辅助选择.
结论:
- 整合RTM和MLM-GWAS提供了一个强大的互补策略,用于剖析狐尾小米的复杂特征.
- 已识别的QTL和候选基因为狐尾小米遗传研究和育种计划提供了宝贵的资源.
- 开发的标记物可以促进标记物辅助的选择,以提高狐尾小米的谷物重量.
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