Abstract
In the past 15 years a large international effort of generation of mutant collections has been accomplished in rice, the model plant for cereals and grasses. Physical and chemical mutagenesis as well as insertion mutagenesis using Agrobacterium T-DNA, endogenous Tos17 retro-element, and maize transposon systems have been used to create lesions in the 39,000 non-transposable genes annotated in the rice genome. Nowadays, 72 % of the rice genes have at least one sequence-indexed insert while 22 % have three, allelic, sequence-indexed inserts. Despite their yet incomplete coverage, these resources have already been instrumental in unraveling the function of numerous genes underlying important developmental and physiological traits through forward or reverse genetics strategies. Together with sequence-specific inactivation approaches (RNA interference and nuclease-based gene editing), mutant collections will contribute to the elucidation of the function of all agronomically important genes in rice by year 2020, an objective shared by the rice community.
Keywords
- Mutant Resources
- Tos17 Insertion
- Rice Functional Genomics
- SQUAMOSA Promoter Binding Protein Domain
- Gao XS
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Acknowledgements
The authors thank the French National Genomics Initiative GĆ©noplante, the Agence Nationale de la Recherche (grant ANR08-GENM-021) in France, the European Commission, the Next-Generation BioGreen 21 Program (PJ008215 and PJ008168), Rural Development Administration, the twenty-first century Frontier Program (CG1111) and the Biogreen 21 program, Republic of Korea, Academia Sinica, the National Science Council and the Council of Agriculture of the Republic of China and the Ministry of Science and Technology of China.
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Droc, G. et al. (2013). Mutant Resources for Functional Analysis of the Rice Genome. In: Zhang, Q., Wing, R. (eds) Genetics and Genomics of Rice. Plant Genetics and Genomics: Crops and Models, vol 5. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7903-1_7
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