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用可调性基因型测序 (tGBS) 方法基因型化500个加入的多样性面板中的单核酸变异数据集

¹U.S. Department of Agriculture, Agricultural Research Service, Crop Improvement and Protection Research Unit, Salinas, CA 93905, United States.

|August 4, 2023

概括

研究人员使用可调节的基因型测序 (tGBS) 来确定500个加入的基因型,以确定单核酸多态 (SNP) 位点. 这些遗传数据有助于生菜繁殖和开发标记辅助选择策略.

科学领域:

植物遗传学植物遗传学
园艺园艺园艺园艺
农业科学农业科学

背景情况:

菜 (Lactuca sativa L.) 是一个具有全球意义的叶子蔬菜,有各种各样的园艺类型.
的野生祖先Lactuca serriola对于在种植品种中引入耐病性等可取特征至关重要.
了解生菜的遗传多样性是作物改进和育种计划的关键.

研究的目的:

将大约500个菜加入的多样性面板进行基因造型.
在整个菜基因组中识别单核酸多态 (SNP) 位点.
为量化特征位点 (QTL) 绘制和菜中标记辅助选择 (MAS) 提供一个有价值的资源.

主要方法:

用基因排序定型 (tGBS) 来分析遗传变异.
用于SNP网站定位,使用了"Salinas"品种的参考基因组.
115,261个SNP地点被确定并映射到生菜基因组中.

主要成果:

为生菜多样性小组生成了115,261个SNP标记的全面数据集.
已识别的SNP为遗传研究和育种应用提供了基础.
该研究成功地将SNP位点定位在参考生菜基因组上.

结论:

生成的SNP数据和多样性面板是生菜遗传学和育种的重要工具.
这些资源有助于改善作物特征的标记辅助选择 (MAS).
应用包括识别F1杂交物种,基因类型基因库集合,以及推进菜遗传研究.

关键词:

全基因组关联研究研究.牛奶 (Lactucaca) 是一种乳.标记器辅助的选择分子标记物分子标记物

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