人口结构限制了基因组数据的使用,用于预测表型和管理森林树木中的遗传资源
Gancho T Slavov1,2, David Macaya-Sanz3,4, Stephen P DiFazio3
1Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth SY23 3EE, United Kingdom.
概括
森林树木表现出强大的本地适应气候. 仅仅气候变量就能有效地预测树木种群,指导基因资源管理的保护和辅助迁移策略.
科学领域:
- 生态生态学 生态生态学
- 遗传学 遗传学是一种遗传学.
- 林业林业 林业 林业 林业
背景情况:
- 森林树木表现出局部适应气候,传统上使用基于人口表型的遗传学模型进行研究.
- 人们越来越认识到基因数据在基因资源管理中的潜力,补充或取代基于表型的方法.
研究的目的:
- 通过全基因组再测序和普通花园实验,研究黑色棉花树适应性特征的遗传结构.
- 评估全基因组关联研究 (GWAS) 和基因组预测对于识别适应气候的表型和告知基因资源管理的有用性.
主要方法:
- 从91个种子中对840种黑棉木基因型进行了全基因组再测序.
- 对表型和基因组 (SNP) 变异的分析,在种群之间进行分割并与气候数据相关联.
- 基因组预测和GWAS的应用来评估本地适应和遗传架构.
主要成果:
- 大多数的表型变化 (60-81%) 在人口中存在,并且与气候有很强的联系.
- 基因组数据 (r > 0.9) 和气候/地理 (r > 0.8) 准确地预测了种群表型.
- 在人群内基因组预测很差 (r < 0.2),这是由于人群之间的异基因频率不同.
结论:
- 仅仅气候变量就足以预测种群表型,划定种子/部署区域,指导辅助迁移.
- 基因组预测和群体内的GWAS受阻于群体间的等位基因频率差异.
- 该研究强调了在利用基因组数据用于森林管理和保护时考虑人口结构的重要性.
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