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Molecular diversity analysis in cluster bean genotypes using EST-SSRs for disease resistance

6th World Congress on Biotechnology

Aditi Taneja, Neelam R Yadav and R C Yadav

CCS Haryana Agricultural University, India

Posters-Accepted Abstracts: J Biotechnol Biomater

DOI: 10.4172/2155-952X.C1.044

Abstract
Cluster bean or Guar (Cyamopsis tetragonoloba L Taub) is kharif crop is well adapted to arid and semi-arid regions of the world. It has been used as forage crop for green manuring and as a human food but it has gained the status of an industrial crop due to the presence of gum (galactomannan) in its endosperm which constitutes up to 42% of the whole seed which is used in wide range of industries from paper to cosmetics to mining and explosives. The cultivated guar suffers from bacterial blight disease and causes significant yield losses. Guar breeders are therefore interested in improving commercial genotypes for disease resistance and gum content Genetic diversity based on molecular markers is an important aspect of molecular breeding program. So far, there are limited reports using RAPD, ISSR and SCAR markers which are dominant in inheritance to analyze the genetic diversity in cluster bean or guar. However, genomic, EST-SSRs and RGAs are robust markers for molecular breeding in crops. RGAs are developed from R-genes conferring resistance to diverse pathogens in different plant species, share a number of common functional motifs. The guar germplasm lines along were raised in naturally lit net house and also in dry land research farm. EST-SSRs related to disease resistance were used for DNA amplification in cluster bean genotypes. EST-SSRs used in the study were developed in our laboratory using available EST database. These molecular markers showed polymorphism among all the genotypes. Allele scoring was done for the obtained EST-SSR primers in the form of 0/1 matrix which was used to calculate the similarity genetic distance using �SIMQUAL� sub-program of NTSYS-PC (version 2.02) software. At a similarity coefficient value of 0.44 two major clusters were obtained. The major cluster II further divided into sub clusters at similarity coefficient value of 0.48. On the basis of genetic distance calculated all the genotypes distributed into 9 clusters.
Biography

Email: aditi.nsv@gmail.com

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