Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education/College of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Int J Mol Sci. 2023 Oct 2;24(19):14838. doi: 10.3390/ijms241914838.
Improving rice yield is one of the most important food issues internationally. It is an undeniable goal of rice breeding, and the effective panicle number (EPN) is a key factor determining rice yield. Increasing the EPN in rice is a major way to increase rice yield. Currently, the main quantitative trait locus (QTL) for EPN in rice is limited, and there is also limited research on the gene for EPN in rice. Therefore, the excavation and analysis of major genes related to EPN in rice is of great significance for molecular breeding and yield improvement. This study used japonica rice varieties Dongfu 114 and Longyang 11 to construct an F population consisting of 309 individual plants. Two extreme phenotypic pools were constructed by identifying the EPN of the population, and QTL-seq analysis was performed to obtain three main effective QTL intervals for EPN. This analysis also helped to screen out 34 candidate genes. Then, EPN time expression pattern analysis was performed on these 34 genes to screen out six candidate genes with higher expression levels. Using a 3K database to perform haplotype analysis on these six genes, we selected haplotypes with significant differences in EPN. Finally, five candidate genes related to EPN were obtained.
提高水稻产量是国际上最重要的粮食问题之一。这是水稻育种不可否认的目标,而有效穗数(EPN)是决定水稻产量的关键因素。增加水稻中的 EPN 是提高水稻产量的主要途径。目前,水稻 EPN 的主要数量性状位点(QTL)有限,对水稻 EPN 的基因研究也很有限。因此,挖掘和分析水稻中与 EPN 相关的主效基因对于分子育种和产量提高具有重要意义。本研究利用粳稻品种东福 114 和龙阳 11 构建了一个由 309 个个体组成的 F2 群体。通过鉴定群体中的 EPN,构建了两个极端表型池,进行了 QTL-seq 分析,获得了三个主要的 EPN 有效 QTL 区间。该分析还帮助筛选出 34 个候选基因。然后,对这 34 个基因进行 EPN 时间表达模式分析,筛选出表达水平较高的 6 个候选基因。使用 3K 数据库对这 6 个基因进行单倍型分析,选择 EPN 差异显著的单倍型。最终获得 5 个与 EPN 相关的候选基因。