Abstract
Rice is the world’s most important staple grown by millions of small-holder farmers. Sustaining rice production relies on the intelligent use of rice diversity. The 3,000 Rice Genomes Project is a giga-dataset of publically available genome sequences (averaging 14× depth of coverage) derived from 3,000 accessions of rice with global representation of genetic and functional diversity. The seed of these accessions is available from the International Rice Genebank Collection. Together, they are an unprecedented resource for advancing rice science and breeding technology. Our immediate challenge now is to comprehensively and systematically mine this dataset to link genotypic variation to functional variation with the ultimate goal of creating new and sustainable rice varieties that can support a future world population that will approach 9.6 billion by 2050.
Highlights
Rice (Oryza sativa L.) is the staple food for half the world population, for the poorest of Asia
Plans are being developed with multiple institutions under the auspices of the Global Rice Science Partnership (GRiSP) of the Consultative Group on International Agricultural Research for extensive and systematic characterization of phenotypes of accessions for a wide range of traits to discover important sequences and regions using genome-wide association studies
Even before phenotypic data becomes available, we expect that analyses of the The Rice Genomes Project (3K) rice genomes data will yield useful information, and that greater sequencing depth or higher sampling will be guided by analysis of the population structure
Summary
Rice (Oryza sativa L.) is the staple food for half the world population, for the poorest of Asia. The information from rice genetics and genomics research has yet to fundamentally change rice breeding practices.
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