使用全基因组关联研究对小麦复杂特征绘制的全面评估
Dinesh K Saini1, Yuvraj Chopra2, Jagmohan Singh3
1Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004 India.
Molecular breeding : new strategies in plant improvement
|June 13, 2023
概括
全基因组关联研究 (GWAS) 识别小麦中的标记特征关联,有助于作物改善. 本综述详细介绍了GWAS的进展,方法和发现,强调了它们对未来小麦育种创新的潜力.
科学领域:
- 农业科学 农业科学
- 遗传学 遗传学是一种遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 全基因组关联研究 (GWAS) 对于剖析作物中复杂的定量特征至关重要.
- 小麦 (Triticum aestivum) 用GWAS广泛研究了各种特征,包括质量,耐压力和产量.
研究的目的:
- 为提供关于小麦的关联映射的全面概述.
- 审查GWAS的统计模型,基因型和表型的进展.
- 讨论GWAS在小麦育种中的现状和未来方向.
主要方法:
- 出版的小麦GWAS的文献综述.
- 分析统计模型,人口设计和高通量平台.
- 报告的标记特征关联 (MTA) 的综合及其利用.
主要成果:
- 在众多GWAS中研究了超过86,000个小麦系,确定了46,940个位点.
- 在统计建模和GWAS技术平台方面取得了重大进展.
- 目前在育种计划中对已识别的MTA的利用有限.
结论:
- GWAS已经产生了大量的MTA资源用于小麦改进.
- 未来的突破在于基因组选择,多omics和机器学习与GWAS集成.
- 这篇评论是进入小麦GWAS的研究人员的宝贵资源.
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