基于形态和农学特征以及SNPS标记物的木核心集合的开发
Caroline Cardoso Dos Santos1, Luciano Rogerio Braatz de Andrade2, Cátia Dias do Carmo1
1Centro de Ciências Agrárias, Ambientais e Biológicas, Universidade Federal do Recôncavo da Bahia, Cruz das Almas, Bahia, Brazil.
Frontiers in plant science
|September 25, 2023
概括
研究人员使用表型和基因型数据开发了优化的麻豆核心集合. 综合收藏最好代表了繁殖计划和基因组研究的完整套件.
科学领域:
- 农业科学 农业科学
- 遗传学 遗传学 是一个
- 植物育种 植物育种
背景情况:
- 大麻 (Manihot esculenta) 是一个重要的全球粉作物.
- 开发具有代表性的核心集合对于高效的育种和遗传研究至关重要.
- 整合不同类型的数据增强了核心数据库的开发.
研究的目的:
- 通过结合表型和基因型数据开发优化的麻豆核心集合.
- 评估不同数据类型和算法在核心数据收集形成中的有效性.
- 确定适合高级育种和基因组研究的核心收藏.
主要方法:
- 利用了来自1486个加入的表型 (15个定量,33个定性) 和基因型 (20,023个SNP) 数据.
- 采用了两种基于遗传距离的策略 (平均接入到最近的入口,平均入口到最近的入口) 来得出六个核心集合.
- 从多个核心收藏中选择的加入中开发了一个合并的收藏,并评估了遗传多样性 (Shannon-Weaver Index, Fis, Ho, Hs).
主要成果:
- 大多数核心收藏保持了与完整收藏相似的遗传参数,对特定算法进行了变化.
- 综合收集和GenEN收集 (基因型数据,平均入口到最近入口) 保留了97%以上的等位基因.
- 合并集合显示了与完整集合最相似的分布特征和平均特征值,在PCA中均分散.
结论:
- 使用集成的表型和基因型数据成功开发了优化的核心集合.
- 综合收藏和GenEN收藏对于保护遗传多样性和促进未来研究非常有价值.
- 这些发现支持使用精确定义的核心集合来提高子育种效率和基因组研究.
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