Indian Journal of Genetics and Plant Breeding (The)
SCOPUSWeb of Science
  • Year: 2018
  • Volume: 78
  • Issue: 3

Genetic diversity computation in sesame genotypes using morphological traits and genic SSR markers

  • Author:
  • Adil Iqbal, Udayan Bhattacharyya1, Rumana Akhtar, Tapash Dasgupta2
  • Total Page Count: 9
  • Page Number: 348 to 356

1Bengal Institute of Technology, Tech Town, Dhapa Manpur, Hadia, Kolkata, West Bengal

2School of Agriculture and Rural Development, Ramakrishna Mission Vivekananda University, Narendrapur campus, Kolkata, 700 103

Department of Genetics and Plant Breeding, Institute of Agricultural Science, University of Calcutta, Kolkata

*Corresponding author's e-mail: adil_kol08@yahoo.co.in

Online published on 19 September, 2018.

Abstract

Sesame (Sesamum indicum L.), the most ancient and important oilseed crop, with rich source of protein, high-quality seed oil and many antioxidant properties is extensively grown in India. In the present study, 235 genic markers developed through data mining of expressed sequence tags from the NCBI database were used to assess the molecular genetic diversity at molecular level of 70 genotypes, belonging to different eco-geographical regions of the world. Of the newly developed markers, 35 (15%) showed polymorphism with a total of 151 alleles identified across genotypes. The alleles detected by the markers varied from 3 to 6 with an average of 4.36 along with 69% of average genetic diversity. The polymorphic information content (PIC) ranged from 0.36 to 0.82, with an average of 0.61. Neighbor-Joining (NJ) analysis revealed the five major groups, and clustering was independent to geographic origin. By using UPGMA, 70 genotypes at 70% similarity coefficient among the morphological traits were classified into four distinct clusters and the clustering pattern was different than based on molecular markers.

Keywords

Expressed sequence tags, simple sequence repeats, clustering, sesame