中国水稻科学2016，Vol.30Issue(3)：265-272,8.DOI:10.16819/j.1001-7216.2016.5188
云南地方水稻品种抗稻瘟病基因Pita功能区段序列变异分析
Sequence Variation of Functional Fragment in Pita Gene for Rice Blast Resistance in Yunnan Rice Landraces
摘要
Abstract
Identification and analysis of the variations of rice blast resistance gene sequence is the basis to dig into the genetic resources of the rice blast resistance .In this paper ,609 bases in the second code functional region of the rice blast resistance gene Pita were analyzed using 218 rice landraces from 56 counties of Yunnan Province .A total of 18 nucleotide variations were found in the sequence and the ORFs of 218 rice accessions were grouped into 46 haplotypes and 28 proteins types .Pita‐H1 (17 .89% ) ,Pita‐H2(29 .82% ) and Pita‐H6(20 .18% ) were high‐frequency types in Yunnan ,while other types were at low frequency (0 .46% -3 .67% ) .So the advantage haplotypes in Yunnan were Pi‐ta‐H1 ,Pita‐H2 and Pita‐H6 (totally 67 .89% ) .A total of 61 rice landraces carrying the resistance gene Pita ,the base functional site 2752 was G with the rate of 27 .98% .The sequence of Pita in 39 resistance varieties was identical with the sequence obtained from the Vietnamese resistance variety Tetep .The distribution of resistance gene Pita in rice subspecies or ecotypes was unbalanced .The distribution frequency of indica was 35 .06% , japonica 24 .11% ,rice 31.03% ,upland rice 21 .92% ,no‐glutinous rice 30 .77% ,glutinous rice 18 .37% .The distribution of blast resistance gene Pitain Yunnan Province featured wide distribution and small concentration .Pitagene was detected in 36 counties of Yunnan Province .The distribution frequency in southern Yunnan was higher than other area .Moreover ,some counties were of high distribution frequency .The resistance gene Pita was not detected in seven rice varieties growing over 2200 m elevation .关键词
稻/云南/稻瘟病/PitaKey words
rice/Yunnan/blast/Pita分类
农业科技引用本文复制引用
马继琼,杨奕,孙一丁,王炎炎,许明辉..云南地方水稻品种抗稻瘟病基因Pita功能区段序列变异分析[J].中国水稻科学,2016,30(3):265-272,8.基金项目
国家基础研究计划资助项目（2012FY110200）；国家自然科学基金资助项目（31360331）。 （）
