Genetic variants for 20K rice genome project
In this study, we detected a large scale of natural variants for rice using a pan-genomic strategy. The genomic resequenced data of 20K rice genomes were collected, with a sequence coverage ranging from 0.1 to 100X. The genomic data were mapped to multiple high-quality reference genomes, such as IRGSP, IR64, MH63, and N22, which present the genetic diversity of rice populations. Genetic variants, including both SNPs and InDels, were offered for multi-references. In addition, the resequenced data were mapped to a rice pan-genome graph to study structural variations. All of these natural variants were used for genetic isolations, population studies, functional genomic studies, protein structure predictions, and AI-driven phenotypic predictions.