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. 2022 Aug 24:13:907267.
doi: 10.3389/fgene.2022.907267. eCollection 2022.

Genome-wide association mapping for root traits associated with frost tolerance in faba beans using KASP-SNP markers

Affiliations

Genome-wide association mapping for root traits associated with frost tolerance in faba beans using KASP-SNP markers

Ahmed Sallam et al. Front Genet. .

Abstract

Frost is an abiotic stress factor that threatens plant development and crop productivity not only in cold regions but also in temperate zones. Roots play an important role in plant growth during frost stress. Therefore, variation in root characteristics could be studied to improve frost tolerance in winter faba bean. The present study aimed to identify the genomic regions that control frost tolerance in a winter faba bean population by focusing on root-related traits. A set of 185 genotypes were tested for frost tolerance under artificial frost growth conditions at -16°C, -18°C, and -19°C in a growth chamber. Frost stress reduced the root-related parameters in all genotypes, with a wide variation among genotypes. A genome-wide association study identified nine novel single-nucleotide polymorphisms that are associated with the root-related traits. The most frost-tolerant genotypes were identified; two genotypes, S_028 and S_220, exhibited remarkable performance under frost stress. Moreover, they harbored all four of the alleles favorable for frost tolerance. Remarkably, two markers showed genetic pleiotropic effects with positive allele effects on root fresh matter and root dry matter. Thus, both genotypes can be implemented in a breeding program to provide the alleles for healthier roots under frost conditions to develop more frost-tolerant varieties, and the two markers can be used to screen large collections to select for frost tolerance. These results may provide novel insights for improving frost tolerance in faba beans and in other legume crops.

Keywords: GWAS; KASP; Vicia faba; freezing temperature; root traits.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Visual scoring of root frost susceptibly scored on the 189 genotypes.
FIGURE 2
FIGURE 2
Histogram showing the distribution of all genotypes in each trait and box plot analysis illustrating the minimum, maximum, and mean values for each trait.
FIGURE 3
FIGURE 3
(A) Phenotypic correlation analysis among root traits and (B) correlation between both LC + LT and FTI scored on seedling shoots and root traits.
FIGURE 4
FIGURE 4
QQ plots resulted from the GWAS using the GLM model for each trait.
FIGURE 5
FIGURE 5
Distribution of QTLs associated with root traits detected by the GWAS and LD analysis (r 2) between SNPs located on the same chromosome.

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