基因架构在基因组预测的标记物选择决策中的重要性
Rafael Della Coletta1, Samuel B Fernandes2, Patrick J Monnahan1
1Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA.
概括
结构变异 (SV) 可以提高基因组预测准确性在育种计划,但改进严重依赖于特征遗传架构. 了解这种架构是选择最佳标记物的关键,无论是单核酸多态 (SNP) 还是SVs.
科学领域:
- 植物和动物育种 植物和动物育种
- 基因组学就是基因组学.
- 量化遗传学 量化遗传学
背景情况:
- 基因组预测模型通常使用单核酸多态 (SNP).
- 结构变体 (SV) 提供了潜在的额外信息,这些信息不仅仅被SNP所捕获.
- SVs与环境适应有关.
研究的目的:
- 评估不同类型标记物 (SNP和/或SV) 对基因组预测准确性的影响.
- 在多环境环境中评估各种特征遗传架构中的标记器实用性.
主要方法:
- 在多个环境中模拟的特征具有不同的遗传架构.
- 使用SNP-only,SV-only和组合SNP/SV标记集进行比较的预测准确度.
- 研究了标记物和致病变体之间的链接不平衡 (LD) 的作用.
主要成果:
- 结构变异 (SV) 可以提高基因组预测的准确性,但收益是最小的,并且取决于特征.
- 在SVs是唯一致病变异时,SV预测器在70%的时间中表现优于SNP预测器,平均准确度增加了1.5%.
- 预测准确性随着致病变体和预测因子之间的链接不平衡 (LD) 的增加而增加,无论标记物类型如何.
结论:
- 对于有效的基因组预测,特征的遗传结构比标记型更为关键.
- 育种者应优先了解特征遗传学,以优化用于育种计划的标记物选择.
- SVs具有潜力,但它们的实用性取决于特定的遗传架构和LD模式.
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