State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100101, China.
BGI-Shenzhen, Shenzhen 518083, China.
Mol Plant. 2016 Jul 6;9(7):975-85. doi: 10.1016/j.molp.2016.04.018. Epub 2016 May 12.
Low-coverage whole-genome sequencing is an effective strategy for genome-wide association studies in humans, due to the availability of large reference panels for genotype imputation. However, it is unclear whether this strategy can be utilized in other species without reference panels. Using simulations, we show that this approach is even more relevant in inbred species such as rice (Oryza sativa L.), which are effectively haploid, allowing easy haplotype construction and imputation-based genotype calling, even without the availability of large reference panels. We sequenced 203 rice varieties with well-characterized phenotypes from the United States Department of Agriculture Rice Mini-Core Collection at an average depth of 1.5× and used the data for mapping three traits. For the first two traits, amylose content and seed length, our approach leads to direct identification of the previously identified causal SNPs in the major-effect loci. For the third trait, pericarp color, an important trait underwent selection during domestication, we identified a new major-effect locus. Although known loci can explain color variation in the varieties of two main subspecies of Asian domesticated rice, japonica and indica, the new locus identified is unique to another domesticated rice subgroup, aus, and together with existing loci, can fully explain the major variation in pericarp color in aus. Our discovery of a unique genetic basis of white pericarp in aus provides an example of convergent evolution during rice domestication and suggests that aus may have a domestication history independent of japonica and indica.
低覆盖度全基因组测序是一种在人类中进行全基因组关联研究的有效策略,因为有大量的参考面板可用于基因型推断。然而,在没有参考面板的情况下,这种策略是否可以在其他物种中使用尚不清楚。通过模拟,我们表明,这种方法在自交物种中更为相关,例如水稻(Oryza sativa L.),这些物种实际上是单倍体,允许轻松构建单倍型和基于推断的基因型呼叫,即使没有大量参考面板。我们对美国农业部水稻微型核心收集的 203 个具有明确表型的水稻品种进行了测序,平均深度为 1.5×,并使用这些数据来映射三个性状。对于前两个性状,直链淀粉含量和种子长度,我们的方法直接鉴定了主要效应位点中先前鉴定的因果 SNP。对于第三个性状,果皮颜色,这是一个在驯化过程中经历选择的重要性状,我们鉴定了一个新的主要效应位点。虽然已知的位点可以解释亚洲驯化水稻的两个主要亚种粳稻和籼稻品种的颜色变化,但鉴定的新位点仅存在于另一个驯化水稻亚群 aus 中,与现有位点一起,可以完全解释 aus 中果皮颜色的主要变化。我们发现 aus 中白色果皮的独特遗传基础提供了一个在水稻驯化过程中趋同进化的例子,并表明 aus 可能具有独立于粳稻和籼稻的驯化历史。