1.江西省农业科学院水稻研究所/水稻国家工程研究中心(南昌)/江西省农作物种质资源研究中心,南昌 330200;2.中国农业科学院作物科学研究所,北京 100081
研究方向为水稻种质资源鉴定与创新利用,E-mail:riceliujin@163.com
黎毛毛,研究方向为作物种质资源保护与鉴定评价,E-mail:Lmm3056@163.com
江西省技术创新引导类计划项目科技合作专项(20212BDH81009 ),江西省重大科技研发专项项目(20232ACF01001);江西现代农业科研协同创新专项(JXXTCXQN202205);江西省自然基金项目(20232BAB205036)
1.Rice Research Institute, Jiangxi Academy of Agricultural Sciences/National Engineering Laboratory for Rice (Nanchang)/Research Center of Jiangxi Crop Germplasm Resources, Nanchang 330200;2.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081
Foundation projects: The Technology Innovation Guidance Program Project Science and Technology Cooperation Special Program of Jiangxi Province(20212 BDH81009);The Major Science and Technology Research and Development Special Project of Jiangxi Province (20232ACF01001); The Collaborative Innovation Special Project of Jiangxi Modern Agricultural Research (JXXTCXQN202205); The Natural Science Foundation of Jiangxi Province (20232BAB205036)
随着全球气候变暖日益加剧,高温严重威胁水稻生产和粮食安全,发掘耐热基因、培育耐高温新品种是应对高温危害的关键途径之一。以热敏感品种周南稻与耐热品种赣早籼58号杂交构建的RIL群体为材料,利用2022年极端自然高温鉴定水稻抽穗期耐热性,基于高密度遗传图谱鉴定抽穗期耐热相关的QTL。自然高温胁迫下RIL群体结实率显著降低,不同家系高温结实率存在较大变异,RIL群体自然高温结实率呈现连续的近似正态分布;检测到6个调控每穗颖花数、每穗实粒数和结实率的QTL,检测到5个耐热相关QTL,分别为qHTSFI4、qHTSFII4、qHTC2、qHTC4和qHTC6,其中qHTSFI4、qHTSFII4和qHTC4位于4号染色体相同区域,组成调控耐热性状的主效QTL簇qHTH4;基于高密度遗传图谱和极端家系基因型确定qHTC2、qHTH4和qHTC6具有调控抽穗期耐热性的功能且存在累加效应,聚合2个以上主效QTL的RIL株系耐热性显著增强,利用生物信息学分析3个主效QTL目标区域候选基因,筛选出14个调控生长发育和抗逆响应相关的候选基因,为水稻耐热遗传改良和关键基因克隆及功能解析奠定了基础。
Global warming poses a serious threat to rice production and food security through increasing high-temperature stress. Identification of heat-tolerant genes and development of new heat-resistant varieties are crucial to mitigate the harm of high temperature. A set of RIL population, derived from the cross between the heat-sensitive variety Junambyeo (JNB) and the heat-tolerant variety Ganzaoxian58 (GZX58), were developed to identify heat tolerance traits at the heading stage under natural extreme high-temperature stress conditions in 2022 year using a high-density genetic map. Natural high-temperature stress significantly reduced seed setting rate, with the RIL population showing continuous, approximately normal distribution, exhibiting highly significant correlations with control seed-setting rates and heat tolerance coefficients. Genetic mapping revealed six QTLs for spikelet number per panicle, filled grain number per panicle and spikelet fertility under control environment, and five heat tolerance QTLs (qHTSFI4, qHTSFII4, qHTC2, qHTC4 and qHTC6) under natural high temperature environment. These QTLs (qHTSFI4, qHTSFII4 and qHTC4) formed a major cluster qHTH4 on chromosome 4. High-density map analysis of extreme lines confirmed that qHTC2, qHTH4 and qHTC6 function in regulating heat tolerance with additive effects. The RIL lines stacking more than two major QTL had significantly enhanced heat resistance. Bioinformatics analysis identified 14 candidate genes within the target region, providing the foundation for the genetic improvement of heat tolerance and molecular characterization of underlying mechanisms in rice.
刘进,周慧颖,马小定,等.基于高密度遗传图谱定位水稻抽穗期耐热性
