研究热带/亚热带玉米面板中谷物胡卜素特征的基因组预测策略
Mary-Francis LaPorte1, Willy Bayuardi Suwarno2, Pattama Hannok3,4
1Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA.
G3 (Bethesda, Md.)
|March 1, 2024
概括
基因组预测模型有效地提高了玉米中的维生素A类胡卜素水平,这对于对抗全球维生素A缺乏至关重要. 使用全基因组标记可以提高生物强化育种计划的预测准确性.
科学领域:
- 农业科学 农业科学
- 遗传学 是一个遗传学.
- 营养 营养 营养 营养 营养
背景情况:
- 维生素A缺乏是一个全球性的健康问题,特别是在依赖玉米的人群中.
- 用维生素A类胡卜素生物强化玉米提供了一个可持续的解决方案.
- 玉米育种计划的目的是增加谷物中的胡卜素含量,以改善营养.
研究的目的:
- 为了评估玉米谷物的胡卜素特征的基因组预测策略.
- 评估在四个墨西哥环境中和四个墨西哥环境之间的预测能力.
- 为了比较基因组范围内的标记物与基因特异性标记物,以获得预测准确度.
主要方法:
- 使用了380个热带/亚热带玉米杂交线的面板.
- 应用型基因组预测模型:Ridge回归-最佳线性无偏预测,弹性网和重现内核希尔伯特空间.
- 使用全基因组标记器与选择的基因近位标记器的比较预测能力.
主要成果:
- 斜坡回归-最好的线性无偏预测,弹性网和复制核希尔伯特空间显示了β-胡卜素,β-密素,维生素A,黄素和热素的高预测能力.
- 全基因组的标记物在预测准确性方面表现优于基因特异性标记物.
- 塔塞尔基因组选择插件的性能与环境内预测的其他方法相提并论.
结论:
- 基因组预测模型是玉米生物强化育种的宝贵工具.
- 建议使用全基因组标记器来预测多种胡卜素特征.
- 这些发现支持在育种计划中有效实施基因组预测,以提高营养价值.
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