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水稻抗稻瘟病基因Pi47的精细定位和候选基因分析

肖湘谊 史学涛 盛浩闻 刘金灵 肖应辉

作物学报2018,Vol.44Issue(7):977-987,11.
作物学报2018,Vol.44Issue(7):977-987,11.DOI:10.3724/SP.J.1006.2018.00977

水稻抗稻瘟病基因Pi47的精细定位和候选基因分析

Fine Mapping and Candidate Gene Analysis of Rice Blast Resistance Gene Pi47

肖湘谊 1史学涛 1盛浩闻 1刘金灵 1肖应辉1

作者信息

  • 1. 湖南农业大学农学院/水稻油菜抗病育种湖南省重点实验室/南方粮油作物协同创新中心, 湖南长沙 410128
  • 折叠

摘要

Abstract

Continuous mapping and cloning new blast resistance genes provided an important approach for revealing the molecu-lar mechanism of resistance to rice disease and breeding new varieties resistant to rice blast. Previously, the blast resistance gene Pi47 was mapped between SSR markers RM224 and RM2956 on chromosome 11, from a broad-spectrum and durable resistance native cultivar Xiangzi 3150 in Hunan province. In this study, the fine mapping and candidate gene prediction were performed, showing that Pi47 was mapped in an interval of 0.24 cM between CAPS markers S32 and K33 with 171.2 kb on Nipponbare ref-erence genome, and further narrowed in an interval of 67.8 kb between markers SC12 and K33, through background screening to Pi47 monogenic lines and susceptible parent CO39 with six STS markers. Eight genes were predicted in this region on the refer-ence genome, among them two encoded NBS-LRR resistance-like proteins, which probably were Pi47 functional candidate genes. A blast resistance spectrum evaluation, using Pi47 monogenic lines and four near-isogenic lines with the Pik allelic gene Pik, Pikm, Pikh, and Pikp across Pi47 region, revealed that Pi47 shared different resistance spectra with these four alleles. These re-sults shed light on further molecular cloning of Pi47, and the molecular marker will be useful for molecular maker assisted selec-tion to breed new resistant cultivars.

关键词

水稻/稻瘟病/抗病基因/Pi47/精细定位

Key words

rice/rice blast/resistance gene/Pi47/fine mapping

引用本文复制引用

肖湘谊,史学涛,盛浩闻,刘金灵,肖应辉..水稻抗稻瘟病基因Pi47的精细定位和候选基因分析[J].作物学报,2018,44(7):977-987,11.

基金项目

本研究由国家重点研发计划项目(2016YFD0101100), 国家自然科学基金项目(31171834)和湖南省科技重大专项( 2015NK1001-1)资助.This study was supported by the National Key Research and Development Program (2016YFD0101100), the National Natural Science Foun-dation of China (31171834), and the Science and Technology Major Project of Hunan Province (2015NK1001-2). (2016YFD0101100)

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