数字农科院2.0

Genome-Wide Association Analysis of Effective Tillers in Rice under Different Nitrogen Gradients

文献类型： 外文期刊

作者： Yuzhuo Liu;Wei Xin;Liqiang Chen;Yuqi Liu;Xue Wang;Cheng Ma;Laiyuan Zhai;Yingying Feng;Jiping Gao;Wenzhong Zhang

作者机构：

关键词： genome-wide association studies;nitrogen;rice;tillering

期刊名称： International Journal of Molecular Sciences

ISSN： 1661-6596

年卷期： 2024 年 25 卷 5 期

页码：

收录情况： SCIE（2024版）

摘要： Nitrogen is a crucial element that impacts rice yields, and effective tillering is a significant agronomic characteristic that can influence rice yields. The way that reduced nitrogen affects effective tillering is a complex quantitative trait that is controlled by multiple genes, and its genetic basis requires further exploration. In this study, 469 germplasm varieties were used for a genome-wide association analysis aiming to detect quantitative trait loci (QTL) associated with effective tillering at low (60 kg/hm2) and high (180 kg/hm2) nitrogen levels. QTLs detected over multiple years or under different treatments were scrutinized in this study, and candidate genes were identified through haplotype analysis and spatio-temporal expression patterns. A total of seven genes (NAL1, OsCKX9, Os01g0690800, Os02g0550300, Os02g0550700, Os04g0615700, and Os04g06163000) were pinpointed in these QTL regions, and were considered the most likely candidate genes. These results provide favorable information for the use of auxiliary marker selection in controlling effective tillering in rice for improved yields.

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