Guo Jiangfan, Wang Wenbin, Li Wei
School of Life Sciences, Shaanxi Normal University, Xi'an, China.
Research Institute of Life Sciences Computing, Zhejiang Lab, Hangzhou, China.
Front Genet. 2024 Nov 5;15:1470294. doi: 10.3389/fgene.2024.1470294. eCollection 2024.
Panicle number (PN) is one of the three key yield components in rice, maintaining stable tiller and PN is a crucial characteristic of an ideal plant architecture. Understanding the molecular mechanisms underlying PN is essential for breeders aiming to improve rice yield.
To dissect the genetic architecture of panicle number, a genome-wide association study (GWAS) was conducted in 411 rice varieties. GWAS analysis was carried out with the mixed linear model using 743,678 high-quality SNPs.
Over two experimental years, we detected a total of seven quantitative trait loci (QTLs), located on chromosomes 1, 4, 6, 8, 11, and 12; notably, and were detected consistently in both years. By combining haplotype and expression analyses, was identified as the candidate gene for , while and were identified as candidate genes for . Significant differences were observed among the haplotypes of these candidate genes. Additionally, qRT-PCR results showed that expression levels were significantly lower in accessions with high panicle numbers compared to those with low panicle numbers.
To understand the natural biological function of these candidate genes, further research involving overexpression or silencing in rice is needed. Despite these challenges, our results will lay the foundation for further study of panicle development and provide valuable genetic resources for developing high-panicle-number rice cultivars using genetic engineering and molecular breeding.
穗数是水稻三个关键产量构成要素之一,维持稳定的分蘖数和穗数是理想株型的一个关键特征。对于旨在提高水稻产量的育种者来说,了解穗数背后的分子机制至关重要。
为了解析穗数的遗传结构,在411个水稻品种中进行了全基因组关联研究(GWAS)。使用743,678个高质量单核苷酸多态性(SNP),通过混合线性模型进行GWAS分析。
在两个试验年份中,我们总共检测到7个数量性状位点(QTL),分别位于第1、4、6、8、11和12号染色体上;值得注意的是,在这两年中均一致检测到了 和 。通过结合单倍型和表达分析, 被鉴定为 的候选基因,而 和 被鉴定为 的候选基因。这些候选基因的单倍型之间存在显著差异。此外,qRT-PCR结果表明,与穗数低的材料相比,穗数高的材料中 表达水平显著更低。
为了解这些候选基因的天然生物学功能,需要在水稻中进行进一步的过表达或沉默研究。尽管存在这些挑战,我们的结果将为进一步研究穗发育奠定基础,并为利用基因工程和分子育种培育高穗数水稻品种提供有价值的遗传资源。