基因组预测和全基因组关联研究,使用来自不同基因型系统的组合基因型数据:应用到果果的质量特征
Mai F Minamikawa1,2, Miyuki Kunihisa3, Shigeki Moriya4
1Institute for Advanced Academic Research (IAAR), Chiba University, 1-33 Yayoi, Inage, Chiba, Chiba 263-8522, Japan.
Horticulture research
|July 9, 2024
概括
结合来自不同平台的果基因型化数据,可以增强基因组选择和全基因组关联研究的水果质量. 包括近亲繁殖信息进一步提高了果繁殖的预测准确度.
科学领域:
- 基因组学就是基因组学.
- 植物育种 植物育种
- 量化遗传学 量化遗传学
背景情况:
- 下一代测序能够实现先进的基因组学工具,如基因组选择 (GS) 和全基因组关联研究 (GWAS).
- 结合来自不同基因型平台的数据对于最大限度地提高基因组洞察力至关重要.
- 对果中GS和GWAS的综合基因定型数据的有用性仍然不清楚.
研究的目的:
- 评估结合来自Illumina Infinium和GRAS-Di基因型系统的数据对果品质特征的影响.
- 评估将近亲繁殖信息纳入基因组预测模型的影响.
- 调查同卵性和GWAS发现之间的关系.
主要方法:
- 利用来自Illumina Infinium SNP数组和GRAS-Di系统的组合基因型数据.
- 开发了基因组预测模型,包括那些考虑亲生繁殖效应的模型.
- 进行全基因组关联研究以确定特征相关区域.
主要成果:
- 结合的基因型定型数据显著提高了大多数果品质特征的基因组预测准确性和GWAS检测能力.
- 基因组预测模型结合了近亲繁殖效应,进一步提高了七种水果特征的准确性.
- 同性岛屿的运行经常与显著的GWAS区域重叠,这表明对同性进行选择.
结论:
- 来自多个平台的基因型数据的结合有利于果果质量的GS和GWAS.
- 杂交信息可以提高果果特征的GS准确性,这需要进一步调查杂交抑郁效应.
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