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Genome-Wide Association Study (GWAS) Identifies Key Candidate Genes Associated with Leaf Size in Alfalfa (Medicago sativa L.)

Authors :
Ming Xu
Xueqian Jiang
Fei He
Bilig Sod
Tianhui Yang
Fan Zhang
Lili Cong
Ruicai Long
Mingna Li
Xue Wang
Qingchuan Yang
Tiejun Zhang
Junmei Kang
Source :
Agriculture, Vol 13, Iss 12, p 2237 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Leaf size significantly impacts photosynthetic capacity and forage yield in alfalfa, a major legume forage crop. Therefore, elucidating the genetic factors governing leaf development is critical for breeding improved alfalfa varieties. In this study, a genome-wide association analysis (GWAS) was performed to dissect the genetic architecture of leaf length (LL) and leaf width (LW) using 220 alfalfa accessions phenotyped over three years. Substantial variation for both traits was observed across environments, with coefficients of variation ranging from 10.09–16.53%. GWAS identified 26 significant SNPs associated with leaf morphology spread across seven chromosomes. Each SNP accounts for 9.7–15.6% of the phenotypic variance. Haplotype analyses confirmed positive correlations between the number of superior alleles and both LL and LW. BLAST searches revealed six candidate genes involved in leaf development within 20 kb flanking regions of significant SNPs. Our results provide novel marker-trait associations and candidate loci to facilitate molecular breeding efforts to optimize leaf size and improve productivity in alfalfa. This study establishes a foundation for integrating favorable alleles into future alfalfa varieties.

Details

Language :
English
ISSN :
20770472
Volume :
13
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.7ce040e791fc4201981322f4ac30d949
Document Type :
article
Full Text :
https://doi.org/10.3390/agriculture13122237