The Mungbean crop is valued for its nutritional and agronomic benefits. However, mungbean breeding programs have stagnated due to limited funding from various funding agencies and research organizations. Thus, more breeding programs integration with genomic tools have to be planned for crop improvement. Molecular markers are powerful genomics tools to study the genetic variation and identify the genomic regions/ genes associated with a specific trait in plants. Among the various marker systems, SSR was the best choice for various applications, primarily in marker-assisted breeding (MAB) programs. Compare to other markers, SSR markers are reliable and relatively inexpensive molecular markers. Because they use PCR, are codominant and have high levels of allelic diversity. Unfortunately, the number of markers from mungbean on a public platform is very limited. Primarily, random markers and SSR markers from closely related species, including adzuki bean and soybean were used in mungbean genetic studies
(Isemura et al., 2012; Sudha et al., 2013; Kitsanachandee et al., 2013). The first version of the mungbean genome sequence was recently published and it is a game-changer to mungbean molecular breeding programs. It facilitated to development of genome-wide markers and cost-effective genotyping platforms. The availability of WGS of mungbean offers the chance to develop genome-wide SSRs.
Discovery and mining of genomic SSR loci from WGS have had fruitful applications in many plant species, including soybean
(Song et al., 2010), peanut
(Lu et al., 2019), castor bean
(Tan et al., 2014). In the present study, a total of 12, 49,774 and 11, 86, 386 perfect and imperfect SSR repeats with di-, tri-, tetra-, penta and hexanucleotide repeats equal to, or longer than 8, 5, 4, 3 and 2 repeat units were identified from the mungbean genome. This study examined the frequency and distribution of SSRs with motifs of 2–8 bp long and the least lengths of 18 bp in the mungbean genome. The standard we used was based on the point that polymorphism levels and mutation rate correlate positively with the number of repeat units. As a result, a higher polymorphic ratio is expected for these SSR markers developed in this study. Frequency analysis of various nucleotide repeats in mungbean shown that tri-repeats were the most abundant (26.10%), followed by hexa (20.82%), penta (20.45%), tetra (17.65%) and di-repeats (14.95%). There were 186839 di-repeats, 326232 tri-repeats, 220922 tetra-repeats, 255544 penta-repeats and 260237 hexa-repeats (Fig 2 and Table 1). These results agree with the reports of
Katti et al., 2001; Lawson and Zhang, 2006;
Bhandawat et al., 2016, who described that tri repeats were more abundant in various crops.
Among the tri-repeats, (ATT) n is the most abundant (44.8%), followed by (AAG) n (23.6%), (AAC) n (13.1%), (AGG) n (4.1%), (ACT) n (3.9%), (AGT) n (3.8%), (ACC) n (3.8%), (ACG) n (1.0%), (AGC) n (1.0%) and (CCG) n (0.9%). Of the dinucleotide motifs, (AT) n is the most abundant (58.5%), followed by (AG) n (24.2%) and (AC) n (17.2%). The (GC) n motif is the least frequent (0.1%) dinucleotide in the genome. This result is consistent with other studies indicating that genomic SSRs with GC-rich repeats are rare in dicot species
(Wang et al., 1994; Tangphatsornruang et al., 2009). Among the di repeats, the AT was the most abundant repeats. AT repeats have been reported most abundant dinucleotide repeats in many crops
(Cardle et al., 2000; Morgante et al., 2002). AAT and AAAT repeats were abundant for tri and tetranucleotide repeats, respectively. ATT/AAT has been reported to be the most common tri-nucleotide motif in other crops, including soybean
(Cregan et al., 1999), groundnut
(Ferguson et al., 2004) and chickpea
(Lichtenzveig et al., 2005).
SSR repeat regions in the mungbean genome and their positions were determined by the Phobos plugin available in the Geneious software. The results from the PHOBOS output were filtered to identify only the perfectly matching SSRs. Moreover, Phobos does not interact directly with Primer 3, but Phobos were used through Geneious. The results of the loci search in Phobos can be easily piped to Primer 3. We designed a set of primer pairs based on the genomic sequence of flanking perfect SSRs (Di and tri-repeats) (Table 2) only and validated a subset of primer pairs. A total of 1330 SSR primers were designed. Among them, 50 SSR primers uniformly distributed across the 11 mungbean chromosomes were selected and used to validate 12 mungbean genotypes originated from India (Fig 3). Initially, these primer pairs’ effectiveness was detected in mung bean genotype VRM (Gg) 1 and then tested in other genotypes. Eventually, 10 of 50 SSR primer pairs were identified as polymorphic. It shows that newly developed SSR primers had good amplification efficiency and were the potential to analyse the genetic diversity in mungbean accessions. The proportions of effectiveness and polymorphism were lower than had been observed in similar studies in mungbean and its relatives
Wang et al., 2015; Chen et al., 2015; Pratap et al., 2016. The low polymorphism may be due to the low diversity of samples used, given that the 12 genotypes were all from India. A study of SSR and other molecular markers in the Indian mungbean similarly showed limited diversity
(Singh et al., 2014; Gupta et al., 2014; Kaur et al., 2018). The low diversity in
Vigna germplasm has been reported for several
Vigna species, including mungbean, urdbean, ricebean and adzuki bean, except when the tested samples were selected wide geographical region or wild genotypes were included. In summary, the novel genomic SSR markers generated in the present study are a valuable genomic resource for the mungbean research community. These newly developed SSR markers will help assess genetic diversity, fill the gaps of current maps, QTL fine mapping and map-based cloning of genes of interest in mungbean.