Wang Jilin, Huang Cheng, Tang Lijuan, Chen Hongping, Chen Ping, Chen Dazhou, Wang Dianwen
Rice National Engineering Research Center (Nanchang), Rice Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China.
Int J Mol Sci. 2025 Feb 20;26(5):1829. doi: 10.3390/ijms26051829.
The submergence tolerance of rice is a key factor in promoting rice direct seeding technology and resisting flood disasters. Dongxiang wild rice (DXWR) has strong submergence tolerance, but its genetic basis is still unclear. Here, we report quantitative trait loci (QTLs) analysis for hypoxic germination rate (HGR), hypoxic seedling rate (HSR), budlet submergence survival rate (BSSR) and seedling submergence survival rate (SSSR) using a linkage map in the backcross recombinant inbred lines (BRILs) that were derived from a cross of DXWR, and an indica cultivar, GZX49. A total of 20 QTLs related to submergence tolerance of rice were detected, explaining phenotypic variations ranging from 2% to 8.5%. Furthermore, transcriptome sequencing was performed on the seeds and seedlings of DXWR before and after submergence. During the seed hypoxic germination and seedling submergence stages, 6306 and 3226 differentially expressed genes (DEGs) were detected respectively. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analyses were conducted on these differentially expressed genes. Using genetic linkage analysis and transcriptome data, combined with qRT-PCR, sequence comparison, and bioinformatics, was putatively identified as a candidate gene for co-located with HGR and SSSR. These results will provide insights into the mechanism of rice submergence tolerance and provide a basis for improving rice submergence tolerance.
水稻的耐淹性是推动水稻直播技术和抵御洪涝灾害的关键因素。东乡野生稻(DXWR)具有较强的耐淹性,但其遗传基础仍不清楚。在此,我们利用由东乡野生稻与籼稻品种GZX49杂交衍生的回交重组自交系(BRILs)中的连锁图谱,对低氧发芽率(HGR)、低氧成苗率(HSR)、芽期淹水存活率(BSSR)和苗期淹水存活率(SSSR)进行了数量性状位点(QTL)分析。共检测到20个与水稻耐淹性相关的QTL,解释的表型变异范围为2%至8.5%。此外,对东乡野生稻淹水前后的种子和幼苗进行了转录组测序。在种子低氧发芽和幼苗淹水阶段,分别检测到6306个和3226个差异表达基因(DEG)。对这些差异表达基因进行了基因本体(GO)和京都基因与基因组百科全书(KEGG)分析。利用遗传连锁分析和转录组数据,结合qRT-PCR、序列比较和生物信息学,推测 为与HGR和SSSR共定位的 的候选基因。这些结果将为深入了解水稻耐淹机制提供见解,并为提高水稻耐淹性提供依据。