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Identification and verification of QTL associated with frost tolerance using linkage mapping and GWAS in winter faba bean
2nd World Congress on Bio Summit & Molecular Biology Expo
Ahmed Sallam, Mustapha Arbaoui, Mohamed El-Esawi and Regina Martsch
Assiut University, Egypt
Hassan II Institute of Agronomy and Veterinary Medicine, Morocco
University of Nebraska-Lincoln, USA
Tanta University, Egypt
KU Leuven, Belgium
University of Gottingen, Germany
Frost stress is one of abiotic stresses, which cause a significant reduction in winter faba bean yield in Europe. The main
objective of this work is to genetically improve frost tolerance in winter faba bean by identifying and validating QTL
associated with frost tolerance to be used in marker-assisted selection. Two different genetic backgrounds were used a biparental
population (BPP) consisting of 101 inbred lines and 189 genotypes from single seed descent (SSD) from the Gottingen Winter
Bean Population (GWBP). All experiments were conducted in a frost growth chamber under controlled conditions. Both
populations were genotyped using the same set of 189 SNP markers. Visual scoring for frost stress symptoms was used to define
frost tolerance in both populations. In addition, leaf fatty acid composition (FAC) and proline content were analyzed in BPP
as physiological traits. QTL mapping (for PBB) and genome wide association studies (for GWBP) were performed to detect
QTL associated with frost tolerance. High genetic variation between genotypes and heritability estimates were found for all
traits. QTL mapping and GWAS identified new putative QTL associated with promising frost tolerance and related traits. A
set of common 54 SNP markers in both two different genetic backgrounds showed a high genetic diversity with polymorphic
information content ranged from 0.31 to 0.37 and gene diversity ranged from 0.39 to 0.50, indicating that these markers could
be used for genotyping any faba bean population. Five SNP markers showed a significant marker-trait association with frost
tolerance and related traits in both populations. Moreover, synteny analysis between Medicago truncatula (model legume) and
faba bean genomes was performed to identify candidate genes of these markers. Collinearity was evaluated between the faba
bean genetic map constructed in this study and the faba bean consensus map, resulting in identifying possible genomic regions
in faba bean which may control frost tolerance genes. The two genetic backgrounds were useful in detecting new variation
to improve frost tolerance in winter faba bean. Of the five validated SNP markers, one (VF_Mt3g086600) was found to be
associated with frost tolerance and FAC in both populations. This marker was also associated with winter hardiness and high
yield in earlier studies. This marker is located in a gene of unknown function.