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作 者:朱双兵 吕文恺 何丽萍 邢丹英[1] 杨隆维[1] 邱先进[1,4] 徐建龙 ZHU Shuang-bing;LV Wen-kai;HE Li-ping;XING Dan-ying;YANG Long-wei;QIU Xian-jin;XU Jian-long(Engineering Research Center of Ecology and Agricultural Use of Wetland,Ministry of Education/Yangtze University,Jingzhou 434025;Shenzhen Branch,Guangdong Laboratory for Lingnan Modern Agriculture/Agricultural Genomics Institute at Shenzhen,Chinese Academy of Agricultural Sciences,Shenzhen 518210;Institute of Crop Sciences,Chinese Academy of Agricultural Sciences,Beijing 100081;Institute of Food Crops,Hubei Academy of Agricultural Sciences,Wuhan 430064)
机构地区:[1]湿地生态与农业利用教育部工程技术中心/长江大学,荆州434025 [2]岭南现代农业科学与技术广东省实验室深圳分中心/中国农业科学院农业基因组研究所,深圳518210 [3]中国农业科学院作物科学研究所,北京100081 [4]湖北省农业科学院粮食作物研究所,武汉430064
出 处:《植物遗传资源学报》2020年第3期663-673,共11页Journal of Plant Genetic Resources
基 金:湿地生态与农业利用教育部工程技术中心开放基金(KF201806,KFT201901,KFT201905);中国农业科学院科技创新工程协同创新任务(CAAS-ZDXT201800)。
摘 要:剑叶是水稻主要的源器官,剑叶大小与产量呈极显著的正相关,揭示剑叶大小和单株产量的遗传基础对于选育株型适宜的水稻高产品种具有重要意义。本研究以来源广泛、多样性丰富的1016份全球水稻核心种质资源为材料,在湖北荆州连续两年考察了种质资源的剑叶大小和单株产量。结果显示,剑叶长、宽、面积和单株产量在两年变异丰富,受环境影响大;剑叶长、宽和面积与单株产量相关性程度较低,说明这些性状的遗传基础不同。利用4.8M高密度SNP基因型数据进行全基因组关联分析,共定位到31个影响水稻剑叶相关性状和单株产量的QTL,其中1个QTL(qFLW4)在两年均定位到,3个位点同时影响多个性状(qFLW4和qFLA4、qFLL6和qFLA6、qFLL10.1和qFLA10)。结合候选区间单倍型分析和生物信息学分析,鉴定到7个候选基因和10个有利等位基因。研究结果为克隆水稻剑叶性状新基因和通过分子标记辅助选择配置不同剑叶相关基因塑造理想株型提供基因资源。Flag leaf,which is a major sink organ of rice plant,was reported to significantly positive correlate with the grain yield.Illustrating the genetic basis of flag leaf related traits and the grain yield is of significance in breeding for high-yield varieties with ideal plant type.In the present study,a diverse panel of 1016 rice accessions was evaluated for flag leaf related traits including flag leaf length(FLL),flag leaf width(FLW),flag leaf area(FLA),as well as the grain yield per plant(GY)in Jingzhou of Hubei province in two calendar years(2015 and 2016).The abundant variations at four traits were observed within this population,but the phenotypic variations were found to be largely environmental-dependent.The correlations between GY and each of FLL,FLW,FLA were low.Using genome-wide association analysis based on 4.8M high throughput SNP datasets,a total of 31 QTL for flag leaf related traits and GY were identified.Especially,one QTL(qFLW4)for FLW was detected in both two calendar years.Three regions were found to be associated with two traits including qFLW4 and qFLA4 for FLW and FLA,qFLL6 and qFLA6 for FLL and FLA,and qFLL10.1 and qFLA10 for FLL and FLA.Using haplotype and bioinformatic analyses in QTL regions,seven candidate genes and 10 favorable alleles were identified.Taken together,our results provided a preliminary base in order to clone the functional genes underlying rice flag leaf related traits,and breed for elite rice varieties with an ideal plant type by deploying different favorable genes by marker-assisted selection.
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