Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
Sci Data. 2020 Apr 7;7(1):113. doi: 10.1038/s41597-020-0438-2.
As the human population grows from 7.8 billion to 10 billion over the next 30 years, breeders must do everything possible to create crops that are highly productive and nutritious, while simultaneously having less of an environmental footprint. Rice will play a critical role in meeting this demand and thus, knowledge of the full repertoire of genetic diversity that exists in germplasm banks across the globe is required. To meet this demand, we describe the generation, validation and preliminary analyses of transposable element and long-range structural variation content of 12 near-gap-free reference genome sequences (RefSeqs) from representatives of 12 of 15 subpopulations of cultivated Asian rice. When combined with 4 existing RefSeqs, that represent the 3 remaining rice subpopulations and the largest admixed population, this collection of 16 Platinum Standard RefSeqs (PSRefSeq) can be used as a template to map resequencing data to detect virtually all standing natural variation that exists in the pan-genome of cultivated Asian rice.
随着未来 30 年人类从 78 亿增长到 100 亿,育种者必须尽一切努力培育出高产、营养丰富的作物,同时减少对环境的影响。水稻将在满足这一需求方面发挥关键作用,因此,需要了解全球种质库中存在的全部遗传多样性。为了满足这一需求,我们描述了 12 个栽培亚洲稻亚种群代表的 12 个近无缺口参考基因组序列(RefSeqs)中转座元件和长程结构变异内容的生成、验证和初步分析。当与代表其余 3 个水稻亚种群和最大混合种群的 4 个现有 RefSeqs 结合使用时,这 16 个白金标准 RefSeqs(PSRefSeq)集合可作为模板将重测序数据映射到以检测栽培亚洲稻泛基因组中存在的几乎所有现有自然变异。