中国水稻科学2018，Vol.32Issue(2)：137-145,9.DOI:10.16819/j.1001-7216.2018.7091
ALS抑制剂类除草剂抗性水稻功能标记的开发与验证
Development and Verification of a Functional Marker Associated with Resistance to ALS Inhibitor Herbicide
摘要
Abstract
[Objective]Breeding rice varieties with resistance to ALS-inhibiting herbicide is the most economical and effective method to prevent weeds in direct-sowing field, and molecular marker-assisted selection can improve its efficiency. [Method]The dominant molecular marker, designed for genotypic detection in different varieties and an F2 population derived from Huaidao 5/Huanghuazhan M-1(mutant with resistance to ALS-inhibiting herbicide) was developed with Tetra-primer ARMS-PCR technique,based on the clarified mutation in CDS of ALS gene.[Result]The sequence alignment analysis of ALS gene encoding region showed that only the mutation from T1642G1643to A1642T1643 leading to the 548th amino acid substitution from tryptophan to methionine in highly conserved region was the critical factors to produce resistance to ALS-inhibiting herbicide in Huanghuazhan M-1, despite the existence of multiple base differences between different indica and japonica rice varieties. The results of PCR detection indicated that three different genotypes could be accurately distinguished by electrophoretic bands, and it was exactly consistent with the phenotype of herbicide resistance at the seedling stage. [Conclusion] The genotype associated with two continuous base mutations could be rapidly detected by Tetra-primer ARMS-PCR technique, and the efficiency for varieties with resistance to ALS-inhibiting herbicide could be improved in breeding process.关键词
乙酰乳酸合酶基因/除草剂抗性/碱基突变/四引物扩增受阻突变体系PCRKey words
acetolactate synthase/herbicide resistance/base mutation/tetra-primer ARMS-PCR分类
农业科技引用本文复制引用
陈涛,梁文化,王才林,张善磊,赵凌,张亚东,朱镇,赵庆勇,周丽慧,姚姝,赵春芳..ALS抑制剂类除草剂抗性水稻功能标记的开发与验证[J].中国水稻科学,2018,32(2):137-145,9.基金项目
国家重点研发计划重点专项(2017YFD0100305) （2017YFD0100305）
现代农业产业技术体系建设专项资金资助项目(CARS-01-62) （CARS-01-62）
江苏省重点研发计划资助项目(BE2016416) （BE2016416）
江苏省农业科学院粮食作物研究所科研基金资助项目(LZS17-7). （LZS17-7）
