背景:由于成本上升,水资源短缺,和劳动力短缺,世界各地的农民现在更喜欢直接播种的方法。然而,淹没压力仍然是限制这种方法在水稻种植中成功的主要瓶颈。积累的水稻遗传资源的合并为检测影响水稻抗洪性的关键基因组基因座和候选基因提供了机会。
结果:在本研究中,对从2004年至2023年报告的16个独立QTL研究中获得的120个数量性状基因座(QTL)进行了全基因组荟萃分析。这些QTL局限于18个元QTL(MQTL),通过来自不同自然种群的独立全基因组关联研究,成功验证了10个MQTL。确定的MQTL的平均置信区间(CI)比初始QTL的平均CI窄3.44倍。此外,获得了4个遗传距离小于2cM的核心MQTL位点。通过将来自两个转录组数据集的差异表达基因(DEG)与核心MQTL区域中鉴定的858个候选基因相结合,我们发现了38个常见的差异表达候选基因(DECGs)。这些DECG的计算机表达分析导致在浸没条件下鉴定出21个在胚胎和胚芽鞘中高表达的基因。这些DECGs编码具有与淹没耐受性有关的已知功能的蛋白质,包括WRKY,F-box,锌指,糖基转移酶,蛋白激酶,细胞色素P450,PP2C,缺氧反应家族,和DUF域。通过单倍型分析,21个DECG表现出明显的遗传分化和很大的遗传距离,主要在in子和粳子亚种之间。Further,在一组具有表型变异的基因型上使用侧翼标记S2329成功验证了MQTL7.1.
结论:本研究为理解水稻耐淹没的遗传基础提供了新的视角。已确定的MQTL和新的候选基因为标记辅助育种/工程选育有利于直接播种的耐洪品种奠定了基础。
BACKGROUND: Due to rising costs, water shortages, and labour shortages, farmers across the globe now prefer a direct seeding approach. However, submergence stress remains a major bottleneck limiting the success of this approach in rice cultivation. The merger of accumulated rice genetic resources provides an opportunity to detect key genomic loci and candidate genes that influence the flooding tolerance of rice.
RESULTS: In the present study, a whole-genome meta-analysis was conducted on 120 quantitative trait loci (QTL) obtained from 16 independent QTL studies reported from 2004 to 2023. These QTL were confined to 18 meta-QTL (MQTL), and ten MQTL were successfully validated by independent genome-wide association studies from diverse natural populations. The mean confidence interval (CI) of the identified MQTL was 3.44 times narrower than the mean CI of the initial QTL. Moreover, four core MQTL loci with genetic distance less than 2 cM were obtained. By combining differentially expressed genes (DEG) from two transcriptome datasets with 858 candidate genes identified in the core MQTL regions, we found 38 common differentially expressed candidate genes (DECGs). In silico expression analysis of these DECGs led to the identification of 21 genes with high expression in embryo and coleoptile under submerged conditions. These DECGs encode proteins with known functions involved in submergence tolerance including WRKY, F-box, zinc fingers, glycosyltransferase, protein kinase, cytochrome P450, PP2C, hypoxia-responsive family, and DUF domain. By haplotype analysis, the 21 DECGs demonstrated distinct genetic differentiation and substantial genetic distance mainly between indica and japonica subspecies. Further, the MQTL7.1 was successfully validated using flanked marker S2329 on a set of genotypes with phenotypic variation.
CONCLUSIONS: This study provides a new perspective on understanding the genetic basis of submergence tolerance in rice. The identified MQTL and novel candidate genes lay the foundation for marker-assisted breeding/engineering of flooding-tolerant cultivars conducive to direct seeding.