Indian Society of Genetics & Plant Breeding

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

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Sesame (Sesamum indicum L.), the most ancient and
important oilseed crop, with rich source of protein, highquality 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


Year: 2018
Volume: 78
Issue: 3
Article DOI: 10.31742/IJGPB.78.3.12
Print ISSN: 0019-5200
Online ISSN: 0975-6906



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