Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045, Jiangxi Province, China.
Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045, Jiangxi Province, China.
BMC Plant Biol. 2021 Nov 20;21(1):542. doi: 10.1186/s12870-021-03317-7.
Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there have been limited studies focusing on cold tolerance at the bud burst stage; therefore, considerable attention should be given to the genetic basis of cold tolerance at this stage.
In this study, a natural population consisting of 211 rice landraces collected from 15 provinces in China and other countries was used for the first time to evaluate cold tolerance at the bud burst stage. Population structure analysis showed that this population was divided into two groups and was rich in genetic diversity. Our evaluation results confirmed that japonica rice was more tolerant to cold at the bud burst stage than indica rice. A genome-wide association study (GWAS) was performed with the phenotypic data of 211 rice landraces and a 36,727 SNP dataset under a mixed linear model. Twelve QTLs (P < 0.0001) were identified for the seedling survival rate (SR) after treatment at 4 °C, in which there were five QTLs (qSR2-2, qSR3-1, qSR3-2, qSR3-3 and qSR9) that were colocalized with those from previous studies and seven QTLs (qSR2-1, qSR3-4, qSR3-5, qSR3-6, qSR3-7, qSR4 and qSR7) that were reported for the first time. Among these QTLs, qSR9, harboring the most significant SNP, explained the most phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were identified as candidates for qSR9.
This natural population consisting of 211 rice landraces combined with high-density SNPs will serve as a better choice for identifying rice QTLs/genes in the future, and the detected QTLs associated with cold tolerance at the bud burst stage in rice will be conducive to further mining favorable genes and breeding rice varieties under cold stress.
水稻是一种对低温非常敏感的作物,其形态发育和生产受到低温的极大影响。因此,了解水稻耐冷性的遗传基础对于挖掘有利基因和培育优良水稻品种具有重要意义。然而,目前关于芽期低温耐受性的研究还很有限;因此,应该高度关注该阶段的耐冷性遗传基础。
本研究首次利用来自中国和其他国家的 15 个省份的 211 份水稻地方品种自然群体,评估了芽期的耐冷性。群体结构分析表明,该群体分为两组,遗传多样性丰富。我们的评估结果证实,粳稻在芽期比籼稻更能耐受低温。利用混合线性模型,对 211 份水稻地方品种的表型数据和一个包含 36727 个 SNP 的数据集进行了全基因组关联研究(GWAS)。在 4°C 处理后,鉴定到 12 个与幼苗存活率(SR)相关的 QTL(P<0.0001),其中 5 个 QTL(qSR2-2、qSR3-1、qSR3-2、qSR3-3 和 qSR9)与之前的研究结果重合,7 个 QTL(qSR2-1、qSR3-4、qSR3-5、qSR3-6、qSR3-7、qSR4 和 qSR7)是首次报道。在这些 QTL 中,含有最显著 SNP 的 qSR9 解释了最多的表型变异。通过生物信息学分析,鉴定到 5 个候选基因(LOC_Os09g12440、LOC_Os09g12470、LOC_Os09g12520、LOC_Os09g12580 和 LOC_Os09g12720)与 qSR9 有关。
该由 211 份水稻地方品种组成的自然群体结合高密度 SNP,将成为未来鉴定水稻 QTL/基因的更好选择,检测到的与水稻芽期低温耐受性相关的 QTL 将有助于进一步挖掘低温胁迫下的有利基因和培育水稻品种。