Association mapping for frost tolerance using multi-parent advanced generation inter-cross (MAGIC) population in faba bean (Vicia faba L.)

Abstract

A multi-parent advanced generation inter-cross (MAGIC) derived from 11 founder lines in faba bean was used in this study to identify quantitative trait loci (QTL) for frost tolerance traits using the association mapping method with 156 SNP markers. This MAGIC population consists of a set of 189 genotypes from the Göttingen Winter Bean Population. The association panel was tested in two different experiments, i.e. a frost and a hardening experiment. Six morphological traits, leaf fatty acid composition, relative water content in shoots were scored in this study. The genotypes presented a large genetic variation for all traits that were highly heritable after frost and after hardening. High phenotypic significant correlations were established between traits. The principal coordinates analysis resulted in no clear structure in the current population. Association mapping was performed using a general linear model and mixed linear model with kinship. A False discovery rate of 0.20 (and 0.05) was used to test the significance of marker-trait association. As a result, many putative QTLs for 13 morphological and physiological traits were detected using both models. The results reveal that QTL mapping by association analysis is a powerful method of detecting the alleles associated with frost tolerance in the winter faba bean which can be used in accelerating breeding programs.

A multi-parent faba bean (Vicia faba L.) population for future genomic studies

“…The UPGMA cluster analysis results confirmed that the four parental lines are genetically distinct ( Figure S2). In the winter faba bean population (Sallam and Martsch, 2015), 11 founders from UK, France and Germany were distributed in three main groups, but this was not based on their country of origin.…”

“…European winter bean collection was employed to identify genomic regions governing frost adaptation, using 189 individuals and 156 SNP (single nucleotide polymorphism) markers (Sallam and Martsch, 2015).…”

The application of genomics and bioinformatics to accelerate crop improvement in a changing climate

“…Traditional trait mapping was performed on the progeny of pairwise crosses which have relatively low resolution due to limited recombination, and lack the ability to assess broader impacts of multi-gene interactions. More recent trait mapping approaches have applied multi parent populations such as nested association mapping (NAM) or magic (multiparent advanced generation intercross) populations [20][21][22][23]. These populations provide much greater resolution due to the higher frequency of recombination captured.…”

Development of a multiparent advanced generation intercross (MAGIC) population for genetic exploitation of complex traits inBrassica juncea: glucosinolate content as an example

“…The term MAGIC was first coined in 2007 [4], and the first MAGIC population in plant species was developed in Arabidopsis thaliana (L.) [5]. Then, dozens of MAGIC populations were established in a wide range of various crops, including rice [6–10], tomato [11, 12], fava bean [13], cowpea [14], maize [15], barley [16, 17], strawberry [18], sorghum [19], and wheat [3, 20–23]. However, no MAGIC populations in Brassicaceae have been reported to our knowledge.…”