MOLECULAR CHARACTERIZATION, NUTRITIONAL AND ANTINUTRITIONAL PARAMETERS OF PROMISING MUNG BEAN [Vigna radiata (L.) Wilczek] GENOTYPES 3564
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Date
2022-09
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JAU,JUNAGDH
Abstract
The present investigation on “Molecular characterization, nutritional and
antinutritional parameters of promising mung bean [Vigna radiata (L.) Wilczek]
genotypes” was carried out at the Department of Biotechnology, Junagadh Agricultural
University, Junagadh with objectives to analyse molecular characterization of 20 different
mung bean genotypes using various PCR based molecular markers viz. Random Amplified
Polymorphic DNA (RAPD), Inter Simple Sequence Repeats (ISSRs) and Simple Sequence
Repeat (SSR) as well as to find out the phylogenic relationship among different mung bean
genotypes. Also, estimation of nutritional and antinutritional parameters of mung bean
genotypes was done.
The 20 selected genotypes of mung bean were selected for the molecular study.
Pooled study of molecular marker through RAPD, ISSR and SSR used to confirm the
differences and similarity between the mung bean genotypes. Total 20 RAPD primers
were screened, out of which 10 primers amplified a total of 63 bands. The per cent
polymorphism obtained for RAPD primers was 75.09 per cent. The Polymorphism
Information Content (PIC) values for RAPD markers were ranged from 0.93 to 0.98.
For ISSR analysis, total 21 ISSR primers were screened, out of which 12 primers
amplified a total of 75 bands. The per cent polymorphism obtained for ISSR primers
was 79.26 per cent. The Polymorphism Information Content (PIC) values for ISSR
markers were ranged from 0.80 to 0.98. For SSR analysis, total 15 SSR primers were
screened, out of which 12 primers amplified a total of 18 bands. The per cent
polymorphism obtained for SSR primers was 70.83 per cent. The Polymorphism
Information Content (PIC) values for SSR markers were ranged from 0.00 to 0.88.
Genetic similarity with all three molecular markers were determined for each pair
of twenty mung bean entries which revealed that genotype GJM-2020 with GJM-2018
and GJM-2026 with Meha showed highest similarity (93%), like that GAM-5 and GJM 2017 showed lowest similarity (62%). Jaccard’s similarity coefficient and UPGMA
method were used to develop a dendrogram which divided the genotypes into two main
clusters A and B with an average resemblance of 68 %. The Main cluster A contained
only one genotype (GJM-2017) which is most diverse among all the genotypes while
Cluster B consist of all 19 Genotypes. The data generated from the present study may be