Random amplified polymorphic DNA (RAPD) and inter-simple sequence repeat (ISSR) markers were used to study the DNA polymorphism in elite blackgram genotypes. A total of 25 random and 16 ISSR primers were used. Amplification of genomic DNA of the 18 genotypes, using RAPD analysis, yielded 104 fragments that could be scored, of which 44 were polymorphic, with an average of 1.8 polymorphic fragments per primer. Number of amplified fragments with random primers ranged from two (OPA-13) to nine (OPK-4) and varied in size from 200 bp to 2,500 bp. Percentage polymorphism ranged from 16.6% (OPK-7) to a maximum of 66.6% (OPE-5, OPH-2, and OPK-8), with an average of 42.7%. The 16 ISSR primers used in the study produced 101 bands across 18 genotypes, of which 55 were polymorphic. The number of amplified bands varied from two (ISSR 858) to ten (ISSR 810), with a size range of 200-2,200 bp. The average numbers of bands per primer and polymorphic bands per primer were 6.3 and 3.4, respectively. Percentage polymorphism ranged from 25% (ISSR 885) to 100% (ISSR 858), with an average percentage polymorphism of 57.5% across all the genotypes. The 3'-anchored primers based on poly(GA) and poly(AG) motifs produced high average polymorphisms of 54.98% and 58.32%, respectively. ISSR markers were more efficient than the RAPD assay, as they detected 57.4% polymorphic DNA markers in Vigna mungo as compared to 42.7% for RAPD markers. The Mantel test between the two Jaccard's similarity matrices gave r=0.32, showing low correlation between RAPD- and ISSR-based similarities. Clustering of genotypes within groups was not similar when RAPD and ISSR derived dendrogram were compared, whereas the pattern of clustering of the genotypes remained more or less the same in ISSR and combined data of RAPD and ISSR.
Unigene sequences available in public databases provide a cost-effective and valuable source for the development of molecular markers. In this study, the identification and development of unigene-based SSR markers in cowpea (Vigna unguiculata (L.) Walp.) is presented. A total of 1071 SSRs were identified in 15 740 cowpea unigene sequences downloaded from the National Center for Biotechnology Information. The most frequent SSR motifs present in the unigenes were trinucleotides (59.7%), followed by dinucleotides (34.8%), pentanucleotides (4%), and tetranucleotides (1.5%). The copy number varied from 6 to 33 for dinucleotide, 5 to 29 for trinucleotide, 5 to 7 for tetranucleotide, and 4 to 6 for pentanucleotide repeats. Primer pairs were successfully designed for 803 SSR motifs and 102 SSR markers were finally characterized and validated. Putative function was assigned to 64.7% of the unigene SSR markers based on significant homology to reported proteins. About 31.7% of the SSRs were present in coding sequences and 68.3% in untranslated regions of the genes. About 87% of the SSRs located in the coding sequences were trinucleotide repeats. Allelic variation at 32 SSR loci produced 98 alleles in 20 cowpea genotypes. The polymorphic information content for the SSR markers varied from 0.10 to 0.83 with an average of 0.53. These unigene SSR markers showed a high rate of transferability (88%) across other Vigna species, thereby expanding their utility. Alignment of unigene sequences with soybean genomic sequences revealed the presence of introns in amplified products of some of the SSR markers. This study presents the distribution of SSRs in the expressed portion of the cowpea genome and is the first report of the development of functional unigene-based SSR markers in cowpea. These SSR markers would play an important role in molecular mapping, comparative genomics, and marker-assisted selection strategies in cowpea and other Vigna species.
A genetic linkage map of black gram, Vigna mungo (L.) Hepper, was constructed with 428 molecular markers using an F9 recombinant inbred population of 104 individuals. The population was derived from an inter-subspecific cross between a black gram cultivar, TU94-2, and a wild genotype, V. mungo var. silvestris. The linkage analysis at a LOD score of 5.0 distributed all 428 markers (254 AFLP, 47 SSR, 86 RAPD, and 41 ISSR) into 11 linkage groups. The map spanned a total distance of 865.1 cM with an average marker density of 2 cM. The largest linkage group spanned 115 cM and the smallest linkage group was of 44.9 cM. The number of markers per linkage group ranged from 11 to 86 and the average distance between markers varied from 1.1 to 5.6 cM. Comparison of the map with other published azuki bean and black gram maps showed high colinearity of markers, with some inversions. The current map is the most saturated map for black gram to date and will provide a useful tool for identification of QTLs and for marker-assisted selection of agronomically important characters in black gram.
A recombinant inbred line (RIL) mapping population (F 8 ) was generated by crossing Vigna mungo (cv. TU 94-2) with Vigna mungo var. silvestris and screened for mungbean yellow mosaic virus (MYMV) resistance. The inter simple sequence repeat (ISSR) marker technique was employed to identify markers linked to the MYMV resistance gene. Of the 100 primers screened, 54 showed amplification of which 36 exhibited polymorphism between the parents TU 94-2 (resistant) and V. mungo var. silvestris (susceptible). Individual plants from 53 RIL populations were analysed and one marker (ISSR811 1357 ) was identified as tightly linked to the MYMV resistant gene at 6.8 cM.Both the phenotype as well as the ISSR811 1357 marker segregated in a 1 : 1 ratio. The ISSR811 1357 marker was sequenced and sequence characterized amplified region (SCAR) primers were designed (YMV1-F and YMV1-R) to amplify the marker. Screening for the SCAR marker in the RIL population distinguished the MYMV resistant and susceptible plants, agreeing well with the phenotypic data. The ISSR811 1357 marker was validated using diverse blackgram genotypes differing in their MYMV reaction. The marker will be useful for the development of MYMV-resistant genotypes in blackgram.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.