Yi Yueming, Hassan Muhammad A, Cheng Xinxin, Li Yiru, Liu Huan, Fang Wuyun, Zhu Qian, Wang Shimei
Rice Research Institute, Anhui Academy of Agricultural Sciences, Hefei, China.
College of Agriculture, Anhui Science and Technology University, Fengyang, China.
Front Plant Sci. 2023 Jul 25;14:1223782. doi: 10.3389/fpls.2023.1223782. eCollection 2023.
Rice drought resistance is a complicated quantitative feature involving a range of biological and agronomic variables, but little is known about the underlying genetics and regulatory mechanisms that regulate drought tolerance. This study used 120 recombinant inbred lines (RILs), derived from a cross between drought tolerant Lvhan 1 and susceptible Aixian 1. The RILs were subjected to drought stress at the first ear stage, and phenotypic data of 16 agronomic and physiological traits under varying conditions were investigated. Genome-wide association study (GWAS) on the drought resistance index of traits was carried out. A total of 9 quantitative trait loci (QTLs) associated with drought-related traits were identified on chromosomes 2, 6, 7, 8, 9, and 10, which includes QTLs for plant height (PH) , effective panicles number (EPN) , panicle length (PL) , thousand-grain weight (TGW) , , , leaf length (LL) , leaf width (LW) , and leaf area (LA) . The fraction of phenotypic variation explained by individual QTL varied from 10.6% to 13.9%. Except for days to flowering (DTF), the mean values of all traits under normal water management conditions were considerably higher than those under drought conditions. Except for the DTF, the drought resistance index of all rice traits was less than 1, indicating that drought treatment reduced the EPN, FGPP, SSR, PH, and LA, which affected the growth and development of rice. The drought resistance index of DTF was 1.02, indicating that drought prolonged the heading time of rice and diminish the yield parameters. Along with identifying QTLs, the results also predicted ten candidate genes, which are directly or indirectly involved in various metabolic functioning related to drought stress. The identification of these genomic sites or QTLs that effectively respond to water scarcity will aid in the quest of understanding the drought tolerance mechanisms. This study will facilitate the marker-assisted rice breeding and handy in the breeding of drought-tolerant rice varieties.
水稻抗旱性是一个复杂的数量性状,涉及一系列生物学和农艺学变量,但对于调控耐旱性的潜在遗传和调控机制知之甚少。本研究使用了120个重组自交系(RILs),这些自交系来源于耐旱品种绿旱1号和感旱品种矮籼1号的杂交。RILs在抽穗初期遭受干旱胁迫,并调查了不同条件下16个农艺和生理性状的表型数据。对性状的抗旱指数进行了全基因组关联研究(GWAS)。在第2、6、7、8、9和10号染色体上共鉴定出9个与干旱相关性状相关的数量性状位点(QTLs),其中包括株高(PH)、有效穗数(EPN)、穗长(PL)、千粒重(TGW)、、、叶长(LL)、叶宽(LW)和叶面积(LA)的QTLs。单个QTL解释的表型变异比例在10.6%至13.9%之间。除抽穗天数(DTF)外,正常水分管理条件下所有性状的平均值均显著高于干旱条件下的平均值。除DTF外,所有水稻性状的抗旱指数均小于1,表明干旱处理降低了EPN、FGPP、SSR、PH和LA,影响了水稻的生长发育。DTF的抗旱指数为1.02,表明干旱延长了水稻的抽穗期并降低了产量参数。在鉴定QTLs的同时,研究结果还预测了10个候选基因,这些基因直接或间接参与了与干旱胁迫相关的各种代谢功能。这些有效响应水分胁迫的基因组位点或QTLs的鉴定将有助于理解耐旱机制。本研究将促进水稻的分子标记辅助育种,并有助于耐旱水稻品种的选育。