中国农业科学

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最新录用:水稻RIL群体高密度遗传图谱的构建及苗期耐热性QTL定位

刘进1,2胡佳晓1马小定2陈武1勒思1Jo Sumin3崔迪2周慧颖1张立娜1Shin Dongjin3黎毛毛1韩龙植2*余丽琴1
  

  1. 1江西省农业科学院水稻研究所/江西省农作物种质资源研究中心,中国江西南昌 3302002中国农业科学院作物科学研究所,中国北京 100081;3韩国农村振兴厅食粮科学院,韩国密阳627-803
  • 发布日期:2022-09-29

Construction of High Density Genetic Map for RIL population and QTL Analysis of Heat Tolerance at Seedling Stage in Rice (Oryza sativa L.) #br#

LIU Jin1,2, HU JiaXiao1, MA XiaoDing2, CHEN Wu1, LE Si1, Jo Sumin3, CUI Di2, ZHOU HuiYing1, ZHANG LiNa1, Shin Dongjin3, LI MaoMao1, HAN LongZhi2*, YU LiQin1* #br#   

  1. 1 Rice Research Institute, Jiangxi Academy of Agricultural Sciences/Research Center of Jiangxi Crop Germplasm Resources, Nanchang 330200; 2 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081; 3 Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Milyang 627-803, South Korea
  • Online:2022-09-29

摘要: 【目的】随着全球气候变暖,高温严重威胁粮食安全,发掘耐热基因资源是培育耐高温新品种和消除高温危害最直接的绿色生态途径,也是阐明耐热生理生化和分子遗传机理的基础。【方法】构建苗期耐热鉴定评价方法,以热敏感品种周南稻和耐热品种赣早籼58号杂交衍生的重组自交系(Recombinant inbred linesRIL)群体为研究材料,利用高通量测序技术对亲本和RIL群体进行全基因组测序;依据171系的基因型数据,利用滑动窗口法将SNP信息转换成Bin基因型,预测染色体上的重组断点,构建RIL群体高密度BinMap遗传图谱,结合耐热表型数据运用QTL IciMapping软件的完备复合区间ICIM作图方法,进行高温胁迫下幼苗存活率和耐热等级QTL分析【结果】构建了一张包含3 321Bin标记高密度遗传图谱,各染色体Bin标记数为159—400个,标记间平均物理距离为106 kb利用逐步高温胁迫方式鉴定亲本和RIL家系幼苗耐热表型高温胁迫下幼苗存活率和耐热等级存在显著相关性,且幼苗存活率与籼型基因频率存在显著正相关关系,籼型基因频率越高耐热性越好RIL群体表型性状呈现双峰连续分布,苗期耐热可能受少数几个主效QTL调控;共检测到12苗期耐热性相关的QTL其中,调控幼苗存活率和耐热等级的QTL分别有84个,幼苗存活率和耐热等级相关QTL存在遗传重叠现象,形成调控耐热性的主效QTLqHTS2qHTS7qHTS8,三者在调控苗期高温抗逆中具有重要作用,其中qHTS7为新发现主效QTL,对增强苗期耐热性具有较强的功效。【结论】构建了一张包含3 321Bin标记的高密度分子遗传图谱,解析了耐热品种赣早籼58号苗期耐热基因,鉴定出3个苗期耐热调控关键QTL簇,发掘了一个新主效QTLqHTS7基于高密度遗传图谱高效获取目标区段及候选基因筛选出8个苗期耐热性调控的关键目标基因。



关键词: 水稻, 高密度图谱, 苗期, 耐热性, QTL定位

Abstract: 【ObjectiveWith global warming, high temperature has an increasing impact on food crop safe. Excavation of heat tolerance gene resources is the most direct green ecological method to cultivate new varieties of heat resistance and eliminate the harm of high temperature, which also the basis for clarifying the physiological, biochemical and molecular genetic mechanism of heat tolerance.MethodEstablishing the identification and evaluation method of heat tolerance at seedling stage, a set of RIL populations was structured from the extreme heat-tolerance Ganzaoxian58(GZX58) and heat-sensitive Junambyeo (JNB), and then the high density genetic map was constructed using genotyping by resequencing technology. To converting SNP information into Bin genotype of the RIL population using sliding window method, which predicting the recombination breakpoints on the chromosomes, finally a high density BinMap genetic map was constructed. Based on the genotype and phenotype data of the 171 lines, QTL mapping of the high temperature seedling survival rate (HTSR) and heat tolerance class (HTC) was performed by ICIM method of the QTL IciMapping software.ResultA high-density genetic map containing 3,321 Bin markers was constructed, the number of Bin markers for each chromosome between 159 and 400, the average physical distance two markers was about to 106 kb; heat tolerance of the parents and RIL populations was identified by stepwise heat stress at seedlings stage, there have a significant negative correlation between HTSR and HTC, in addition, there has a significant positive correlation between HTSR and indica gene frequency (Fi), which the higher of the Fi, the heat tolerance is better; the bi-modal continuous distribution of phenotype traits from the RIL population showed that the heat tolerance is regulated by few major QTL. A total of 12 QTL controlling with heat tolerance at seedling stage, there have 8 and 4 QTL regulating for HTSR and HTC, respectively. There has a significant genetic overlap from HTSR and HTC, qHTS2, qHTS7 and qHTS8, three major QTL cluster play an important role in regulating the heat tolerance at seedling stage. Among these QTL, qHTS7 was a novel major QTL cluster, which has a strong effect on enhancing the heat resistance at seedling stage. ConclusionWe constructed a high density genetic linkage map containing 3,321 Bin markers, which be used to analyzed the heat tolerance gene from the GZX58 at seedling stage, there have three key QTL cluster identified associated with the heat tolerance, a novel QTL cluster qHTS7 was discovered, efficient acquisition of target segments and candidate genes based on high-density genetic mapping, eight key candidate genes were selected by bioinformatics for regulation of the heat tolerance.


Key words: rice, high-density genetic map, seedling stage, heat tolerance, QTL mapping