Pan-genome analysis of 33 genetically diverse rice accessions reveals hidden genomic variations

• Published in: Cell Vol. 184; no. 13; pp. 3542 - 3558.e16
• Main Authors: Qin, Peng, Lu, Hongwei, Du, Huilong, Wang, Hao, Chen, Weilan, Chen, Zhuo, He, Qiang, Ou, Shujun, Zhang, Hongyu, Li, Xuanzhao, Li, Xiuxiu, Li, Yan, Liao, Yi, Gao, Qiang, Tu, Bin, Yuan, Hua, Ma, Bingtian, Wang, Yuping, Qian, Yangwen, Fan, Shijun, Li, Weitao, Wang, Jing, He, Min, Yin, Junjie, Li, Ting, Jiang, Ning, Chen, Xuewei, Liang, Chengzhi, Li, Shigui
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 24.06.2021
• Subjects: Adaptation, Physiological - genetics; Agriculture; Domestication; Ecotype; evolution; Gene copy number variation; gene expression; Gene Expression Profiling; Gene Expression Regulation, Plant; Genes, Plant; Genetic Variation; genome; Genome, Plant; genome-wide association study; Genomic Structural Variation; genomics; Graph-based genome; High-quality assembly; Molecular Sequence Annotation; Oryza - genetics; Oryza glaberrima; Oryza sativa; Pan-genome; Phenotype; Rice; Structural variation; Graph-based genome; High-quality assembly; Pan-genome; Structural variation; Gene copy number variation; Rice

Structural variations (SVs) and gene copy number variations (gCNVs) have contributed to crop evolution, domestication, and improvement. Here, we assembled 31 high-quality genomes of genetically diverse rice accessions. Coupling with two existing assemblies, we developed pan-genome-scale genomic reso...