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多个位置的全基因组关联研究和花花的开花时间的基因组预测

Jiangshuo Su¹, Zhaowen Lu¹, Junwei Zeng¹

¹State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Key Laboratory of Biology of Ornamental Plants in East China, National Forestry and Grassland Administration, College of Horticulture, Nanjing Agricultural University, Weigang No. 1, Nanjing, 210095, Jiangsu, People's Republic of China.

|December 8, 2023

概括

这项研究使用多个位置的全基因组关联研究 (GWAS) 确定了影响花开花时间的关键基因. 这些发现提高了基因组选择的准确性,加速了改良的装饰植物的育种.

科学领域:

植物遗传学和育种.
基因组学就是基因组学.
定量特征分析是一种分析.

背景情况:

花开时间对于花的繁殖和经济价值至关重要.
了解其遗传基础对于有效的育种计划至关重要.

研究的目的:

为了研究花的开花时间的遗传结构.
识别与开花时间特征相关的定量特征核酸 (QTNs) 和候选基因.
评估基因组选择 (GS) 的有效性,以加速香的繁殖.

主要方法:

一个多位基因组范围的关联研究 (GWAS) 在200个花加入中使用330,710个单核酸多态 (SNP) 进行.
五个开花时间特征和五个衍生特征在两个环境中被表型化.
基因组选择 (GS) 模型使用GWAS识别的显著SNP进行了评估.

主要成果:

观察到广泛的表型变异和高遗传性花期特征.
GWAS确定了88个稳定的QTN和93个与开花时间相关的QTN环境相互作用 (QEIs).
确定了几种已知和新型候选基因,包括MYB55和WRKY75.
使用GWAS识别的SNP的支持矢量机 (SVM) 模型实现了基因组选择的最高预测精度 (0.90-0.95).

结论:

多部位GWAS有效地识别了控制香花开花时间的遗传因素.
鉴定到的SNP和候选基因可以显著提高基因组选择的预测能力.
这项研究加速了改善花品种的分子育种,以期望的开花时间.

关键词:

花花 (Chrysanthemum) 是一种花.开花时间开花时间在GWAS中,GWAS就是GWAS.基因架构的基因架构基因组选择的选择这是一个 QEI.

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