Genomic variation in 3,010 diverse accessions of Asian cultivated rice

2018 Nature 1,718 citations

Abstract

Here we analyse genetic variation, population structure and diversity among 3,010 diverse Asian cultivated rice (Oryza sativa L.) genomes from the 3,000 Rice Genomes Project. Our results are consistent with the five major groups previously recognized, but also suggest several unreported subpopulations that correlate with geographic location. We identified 29 million single nucleotide polymorphisms, 2.4 million small indels and over 90,000 structural variations that contribute to within- and between-population variation. Using pan-genome analyses, we identified more than 10,000 novel full-length protein-coding genes and a high number of presence–absence variations. The complex patterns of introgression observed in domestication genes are consistent with multiple independent rice domestication events. The public availability of data from the 3,000 Rice Genomes Project provides a resource for rice genomics research and breeding. Analyses of genetic variation and population structure based on over 3,000 cultivated rice (Oryza sativa) genomes reveal subpopulations that correlate with geographic location and patterns of introgression consistent with multiple rice domestication events.

Keywords

DomesticationBiologyIntrogressionIndelGenomeOryza sativaOryza rufipogonPopulationGenomicsPopulation genomicsNucleotide diversityGeneticsStructural variationOryzaGenetic variationGenetic diversityGeneEvolutionary biologySingle-nucleotide polymorphismHaplotypeGenotype

MeSH Terms

AsiaCropsAgriculturalEvolutionMolecularGenesPlantGenetic VariationGeneticsPopulationGenomePlantGenomicsHaplotypesINDEL MutationOryzaPhylogenyPlant BreedingPolymorphismSingle Nucleotide

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Publication Info

Year
2018
Type
article
Volume
557
Issue
7703
Pages
43-49
Citations
1718
Access
Closed

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Cite This

Wensheng Wang, Ramil Mauleon, Zhiqiang Hu et al. (2018). Genomic variation in 3,010 diverse accessions of Asian cultivated rice. Nature , 557 (7703) , 43-49. https://doi.org/10.1038/s41586-018-0063-9

Identifiers

DOI
10.1038/s41586-018-0063-9
PMID
29695866
PMCID
PMC6784863

Data Quality

Data completeness: 86%