Suzuki Tadzunu, Eiguchi Mitsugu, Kumamaru Toshihiro, Satoh Hikaru, Matsusaka Hiroaki, Moriguchi Kazuki, Nagato Yasuo, Kurata Nori
Genetic Strains Research Center, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka, 411-8540, Japan.
Mol Genet Genomics. 2008 Mar;279(3):213-23. doi: 10.1007/s00438-007-0293-2. Epub 2007 Oct 19.
Mutant populations are indispensable genetic resources for functional genomics in all organisms. However, suitable rice mutant populations, induced either by chemicals or irradiation still have been rarely developed to date. To produce mutant pools and to launch a search system for rice gene mutations, we developed mutant populations of Oryza sativa japonica cv. Taichung 65, by treating single zygotic cells with N-methyl-N-nitrosourea (MNU). Mutagenesis in single zygotes can create mutations at a high frequency and rarely forms chimeric plants. A modified TILLING system using non-labeled primers and fast capillary gel electrophoresis was applied for high-throughput detection of single nucleotide substitution mutations. The mutation rate of an M(2) mutant population was calculated as 7.4 x 10(-6) per nucleotide representing one mutation in every 135 kb genome sequence. One can expect 7.4 single nucleotide substitution mutations in every 1 kb of gene region when using 1,000 M(2) mutant lines. The mutations were very evenly distributed over the regions examined. These results indicate that our rice mutant population generated by MNU-mutagenesis could be a promising resource for identifying mutations in any gene of rice. The modified TILLING method also proved very efficient and convenient in screening the mutant population.
突变群体是所有生物体功能基因组学不可或缺的遗传资源。然而,迄今为止,通过化学诱变或辐射诱导产生的合适水稻突变群体仍然很少。为了构建突变体库并建立水稻基因突变搜索系统,我们通过用N-甲基-N-亚硝基脲(MNU)处理单个合子细胞,培育出了粳稻品种台中65的突变群体。单个合子中的诱变可以高频产生突变,并且很少形成嵌合体植株。一种使用非标记引物和快速毛细管凝胶电泳的改良TILLING系统被用于单核苷酸替代突变的高通量检测。M(2)突变群体的突变率计算为每核苷酸7.4×10(-6),这意味着在每135 kb基因组序列中就有一个突变。当使用1000个M(2)突变株系时,预计在每1 kb基因区域会出现7.4个单核苷酸替代突变。这些突变在所检测的区域中分布非常均匀。这些结果表明,我们通过MNU诱变产生的水稻突变群体可能是鉴定水稻任何基因中突变的一个有前景的资源。改良的TILLING方法在筛选突变群体方面也被证明非常高效和便捷。