Multi-locus GWAS uncovers favorable alleles and candidate genes underlying water stress response in chrysanthemum

Drought is one of the most serious abiotic stresses limiting plant productivity and becomes increasingly extreme worldwide due to the ongoing deterioration of the global climate. Chrysanthemum (Chrysanthemum morifolium Ramat.), one of the four most popular cut flowers in the world, is sensitive to water-limited environment. However, the genetic basis and causal genes underlying drought tolerance (DT) remain largely unknown. In this research, multi-locus GWAS was employed to detect the genetic loci and candidate genes for DT in a diverse panel of 200 cut chrysanthemum accessions that were genotyped with 330,710 high-quality SNPs. As a result, 43 stable QTNs in single-environment analysis, 18 stable QTNs and 115 QEIs in multiple-environments analysis were identified via the 3VmrMLM method. Among the genes around stable QTNs and QEIs, eleven were homologous to known DT regulatory genes in other plants such as WRKY57, MYB121, GH3.6. In addition, seven candidate genes were predicted to be associated with DT related traits by combing the functional annotation, transcriptomics data and quantitative real-time PCR. More importantly, four drought-tolerant cultivars harboring favorable alleles were identified as pre-bred material to improve tolerance of cultivated chrysanthemum. These findings provide robust insights into the genetic architecture of DT and offer valuable prospects for the molecular breeding of chrysanthemum.

Authors

Institutions

Publication Details

Journal
BMC Plant Biology
Published
2026-05-30
DOI
https://doi.org/10.1186/s12870-026-09132-2
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-locus GWAS uncovers favorable alleles and candidate genes underlying water stress response in chrysanthemum

Wenyang Wan, Siyue Wang, Jiangshuo Su, Yuhan Qiao et al.
BMC Plant Biology
Plant Gene Expression Analysis
article

Multi-locus GWAS uncovers favorable alleles and candidate genes underlying water stress response in chrysanthemum

Wenyang Wan, Siyue Wang, Jiangshuo Su, Yuhan Qiao, Weimin Fang, Xiaoxue Wang, Fadi Chen, Yang Yang, Yu Xiang, Fei Zhang, Shiyun Wen, Xiaoli Ou
article en

Abstract

Drought is one of the most serious abiotic stresses limiting plant productivity and becomes increasingly extreme worldwide due to the ongoing deterioration of the global climate. Chrysanthemum (Chrysanthemum morifolium Ramat.), one of the four most popular cut flowers in the world, is sensitive to water-limited environment. However, the genetic basis and causal genes underlying drought tolerance (DT) remain largely unknown. In this research, multi-locus GWAS was employed to detect the genetic loci and candidate genes for DT in a diverse panel of 200 cut chrysanthemum accessions that were genotyped with 330,710 high-quality SNPs. As a result, 43 stable QTNs in single-environment analysis, 18 stable QTNs and 115 QEIs in multiple-environments analysis were identified via the 3VmrMLM method. Among the genes around stable QTNs and QEIs, eleven were homologous to known DT regulatory genes in other plants such as WRKY57, MYB121, GH3.6. In addition, seven candidate genes were predicted to be associated with DT related traits by combing the functional annotation, transcriptomics data and quantitative real-time PCR. More importantly, four drought-tolerant cultivars harboring favorable alleles were identified as pre-bred material to improve tolerance of cultivated chrysanthemum. These findings provide robust insights into the genetic architecture of DT and offer valuable prospects for the molecular breeding of chrysanthemum.

BMC Plant Biology
Nanjing Agricultural University (CN), Zhongshan Hospital (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 9%
Plant Gene Expression Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.