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

Overview

Journal Int J Mol Sci

Publisher MDPI

Specialties Biochemistry
Chemistry
Molecular Biology

Date 2024 Mar 13

PMID 38474217

Authors

Yuzhuo Liu

Wei Xin

Liqiang Chen

Yuqi Liu

Xue Wang

Cheng Ma

Laiyuan Zhai

Yingying Feng

Jiping Gao

Wenzhong Zhang

Affiliations

Soon will be listed here.

Abstract

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/hm) and high (180 kg/hm) 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 (, , , , , , and ) 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.

Citing Articles

Genome-wide association study reveals novel QTLs and candidate genes for panicle number in rice.

Guo J, Wang W, Li W Front Genet. 2024; 15:1470294.

PMID: 39563736 PMC: 11573766. DOI: 10.3389/fgene.2024.1470294.

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