Higgins Janet, Santos Bruno, Khanh Tran Dang, Trung Khuat Huu, Duong Tran Duy, Doai Nguyen Thi Phuong, Hall Anthony, Dyer Sarah, Ham Le Huy, Caccamo Mario, De Vega Jose
Earlham Institute Norwich UK.
NIAB Cambridge UK.
Evol Appl. 2022 Jul 9;15(7):1141-1161. doi: 10.1111/eva.13433. eCollection 2022 Jul.
Vietnam harnesses a rich diversity of rice landraces adapted to a range of conditions, which constitute a largely untapped source of diversity for the continuous improvement of cultivars. We previously identified a strong population structure in Vietnamese rice, which is captured in five Indica and four Japonica subpopulations, including an outlying group. Here, we leveraged that strong differentiation and 672 native rice genomes to identify genomic regions and genes putatively selected during the breeding of rice in Vietnam. We identified significant distorted patterns in allele frequency (XP-CLR) and population differentiation scores ( ) resulting from differential selective pressures between native subpopulations, and later annotated them with QTLs previously identified by GWAS in the same panel. We particularly focussed on the outlying subpopulation because of its likely novelty and differential evolution, where we annotated 52 selected regions, which represented 8.1% of the rice genome. We annotated the 4576 genes in these regions and selected 65 candidate genes as promising breeding targets, several of which harboured alleles with nonsynonymous substitutions. Our results highlight genomic differences between traditional Vietnamese landraces, which are likely the product of adaption to multiple environmental conditions and regional culinary preferences in a very diverse country. We also verified the applicability of this genome scanning approach to identify potential regions harbouring novel loci and alleles to breed a new generation of sustainable and resilient rice.
越南拥有丰富多样的适应各种条件的水稻地方品种,这些品种构成了一个很大程度上未被开发的多样性来源,可用于持续改良栽培品种。我们之前在越南水稻中发现了强大的群体结构,该结构体现在五个籼稻亚群和四个粳稻亚群中,包括一个外围群体。在此,我们利用这种强烈的分化以及672个本地水稻基因组,来识别越南水稻育种过程中可能被选择的基因组区域和基因。我们识别出了由于本地亚群之间的差异选择压力导致的等位基因频率(XP-CLR)和群体分化分数的显著扭曲模式,随后用之前在同一群体中通过全基因组关联研究(GWAS)识别出的数量性状基因座(QTL)对它们进行注释。我们特别关注外围亚群,因为其可能具有新颖性和不同的进化历程,在该亚群中我们注释了52个选择区域,这些区域占水稻基因组的8.1%。我们注释了这些区域中的4576个基因,并选择了65个候选基因作为有前景的育种目标,其中几个含有非同义替换的等位基因。我们的结果突出了越南传统地方品种之间的基因组差异,这可能是在这个非常多样化的国家中适应多种环境条件和区域烹饪偏好的产物。我们还验证了这种基因组扫描方法在识别含有新基因座和等位基因的潜在区域以培育新一代可持续且有韧性的水稻方面的适用性。