Abstract
Genetic maps are a prerequisite for quantitative trait locus (QTL) analysis, marker-assisted selection (MAS), fine gene mapping, and assembly of genome sequences. So far, several asparagus bean linkage maps have been established using various kinds of molecular markers. However, these maps were all constructed by gel- or array-based markers. No maps based on sequencing method have been reported. In this study, an NGS-based strategy, SLAF-seq, was applied to create a high-density genetic map for asparagus bean. Through SLAF library construction and Illumina sequencing of two parents and 100 F2 individuals, a total of 55,437 polymorphic SLAF markers were developed and mined for SNP markers. The map consisted of 5,225 SNP markers in 11 LGs, spanning a total distance of 1,850.81 cM, with an average distance between markers of 0.35 cM. Comparative genome analysis with four other legume species, soybean, common bean, mung bean and adzuki bean showed that asparagus bean is genetically more related to adzuki bean. The results will provide a foundation for future genomic research, such as QTL fine mapping, comparative mapping in pulses, and offer support for assembling asparagus bean genome sequence.
Highlights
IntroductionApart from geographic location and consuming organ, asparagus bean differs from the unguiculata group in pod length, plant type, and growth habit[4]
Asparagus bean [Vigna unguiculata (L.) Walp. ssp. sesquipedalis] (2n = 2x= 22) is one of the two main cultivated subspecies of cowpea
Genetic maps are related to modern plant biology and offer a foundation for downstream studies, such as quantitative trait locus (QTL) mapping, marker-assisted selection, and fine gene mapping
Summary
Apart from geographic location and consuming organ, asparagus bean differs from the unguiculata group in pod length, plant type, and growth habit[4]. This special legume serves as an important source of dietary proteins, vitamins, minerals, and fibers for Asian people[5] and is considered one of the top ten Asian vegetables. Iii) Deep sequencing for the pooled RRLs, and genotype definition and validation by software The efficiency of this method had been demonstrated by considerable genotyping accuracy on rice and soybean data, as well as the highest density genetic map for common carp[18]. It has already been proved to be a powerful tool to create high-density genetic maps in quite a few species[19,20,21,22,23,24,25,26,27,28,29], even those without reference genome
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