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优化农业特征的基因组选择,使用K-小麦核心收集

Yuna Kang¹, Changhyun Choi², Jae Yoon Kim³

¹Department of Crop Science, Chungnam National University, Daejeon, Republic of Korea.

Frontiers in plant science

|June 30, 2023

概括

全基因组关联研究和选择通过识别复杂农业特征的关键遗传标记物来改善小麦育种. 这种基因组学辅助的方法可以提高预测准确度,例如毛和耳朵颜色等特征,从而提高全球小麦生产潜力.

科学领域:

植物遗传学和育种.
基因组学和生物信息学
定量特征分析是一种分析.

背景情况:

在小麦育种中,复杂的农业特征由于其定量性质而难以选择.
全球小麦生产需要创新的育种策略来维持需求.
基因组工具为加速复杂特征的改进提供了潜在的解决方案.

研究的目的:

调查全基因组关联研究 (GWAS) 和全基因组选择 (GS) 在小麦中培育十种农业特征的实用性.
用全基因组单核酸多态 (SNP) 来识别与特征相关的候选标记物.
评估各种GS模型的预测准确度,并优化培训人口策略.

主要方法:

用Axiom® 35K小麦DNA芯片对567个韩国小麦加入的基因定型.
对十种农业特征的表型评估,包括颜色,长度,头条的日期和成熟度.
应用GWAS用于标记物识别和GS与六个预测模型 (G-BLUP, LASSO, BayseA, RKHS, SVM,随机森林) 和多样化的培训群体.

主要成果:

在chr1B上显著的SNP与黄色和耳朵颜色有关,表明类.
大多数GS模型 (SVM除外) 实现了0.4或更高的预测准确度.
基于子组的培训种群改善了几个特征的预测准确性,RKHS模型在70%的测试品种中准确预测了表型.

结论:

GWAS和GS是改善小麦育种复杂特征的有效工具.
基因组学辅助的育种策略,特别是使用优化训练种群,可以提高选择效率.
这些发现为开发利用基因组信息的先进小麦育种计划提供了基础.

关键词:

在Triticum aestivum中,它是最重要的.全基因组关联研究研究.基因组繁殖基因组繁殖通过n倍验证验证.定性特征是一种质性的特征.定量特征是一种定量特征.

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