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The 3,000 rice genomes project
Open accessAbstract
Background: Rice, Oryza sativa L., is the staple food for half the world's population. By 2030, the production of rice must increase by at least 25% in order to keep up with global population growth and demand. Accelerated genetic gains in rice improvement are needed to mitigate the effects of climate change and loss of arable land, as well as to ensure a stable global food supply. Findings: We resequenced a core collection of 3,000 rice accessions from 89 countries. All 3,000 genomes had an average sequencing depth of 14×, with average genome coverages and mapping rates of 94.0% and 92.5%, respectively. From our sequencing efforts, approximately 18.9 million single nucleotide polymorphisms (SNPs) in rice were discovered when aligned to the reference genome of the temperate japonica variety, Nipponbare. Phylogenetic analyses based on SNP data confirmed differentiation of the O. sativa gene pool into 5 varietal groups – indica, aus/boro, basmati/sadri, tropical japonica and temperate japonica. Conclusions: Here, we report an international resequencing effort of 3,000 rice genomes. This data serves as a foundation for large-scale discovery of novel alleles for important rice phenotypes using various bioinformatics and/or genetic approaches. It also serves to understand the genomic diversity within O. sativa at a higher level of detail. With the release of the sequencing data, the project calls for the global rice community to take advantage of this data as a foundation for establishing a global, public rice genetic/genomic database and information platform for advancing rice breeding technology for future rice improvement.
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The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
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Wang, W., Mauleon, R., Hu, Z., Chebotarov, D., Tai, S., Wu, Z., Li, M., Zheng, T., Fuentes, R. R., Zhang, F., et al. (2018) · Nature · doi:10.1038/s41586-018-0063-9 · Cited by 1,748
SIFT missense predictions for genomes
Vaser, R., Adusumalli, S., Leng, S. N., Sikic, M., & Ng, P. C. (2016) · Nature Protocols · doi:10.1038/nprot.2015.123 · Cited by 1,510
The rice genome revolution: from an ancient grain to Green Super Rice
Wing, R. A., Purugganan, M. D., & Zhang, Q. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0024-z · Cited by 441
The WRKY Transcription Factor Family in Model Plants and Crops
Chen, F., Hu, Y., Vannozzi, A., Wu, K., Cai, H., Qin, Y., Mullis, A., Lin, Z., & Zhang, L. (2017) · Critical Reviews in Plant Sciences · doi:10.1080/07352689.2018.1441103 · Cited by 419
SNP-Seek database of SNPs derived from 3000 rice genomes
Alexandrov, N., Tai, S., Wang, W., Mansueto, L., Palis, K., Fuentes, R. R., Ulat, V. J., Chebotarov, D., Zhang, G., Li, Z., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1039 · Cited by 364
Metadata
- Authors
- The 3, 0. R. G. P.
- Venue
- Gigascience
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-05-28
- Volume
- 3
- Issue
- 1
- Pages
- 7-7
- ISSN
- 2047-217X (ISSN-L)
- OpenAlex
- W2303542186
- Cited by
- 480
- References
- 2
- FWCI
- 24.77
- Type
- journal article
- Language
- en
- Open access
- gold
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