Molecular Plant Breeding 2016, Vol.7, No.23, 1
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9
1
Research Report Open Access
Genetic Diversity Analysis of Lentil (
Lens culinaris
Medik) Cultivars Using Inter Simple
Sequence Repeats Markers
Datta Subhojit
1,2
, Gupta Prasoonpal
1
, Kaashyap Mayank
1,3
, Kumar S.
1,4
1 Biotechnology Unit, ICAR - Indian Institute of Pulses Research, Kanpur- 208 024, India
2 Division of Crop Improvement, ICAR – Central Research Institute for Jute and Allied Fibres, Barrackpore, Kolkata – 700 120, India
3 School of Applied Sciences, Health Innovation Research Institute, RMIT University, Melbourne, Australia
4 International Center for Agricultural Research in the Dry Areas, Aleppo, Syria
Corresponding author Email
Molecular Plant Breeding, 2016, Vol.7, No.23 doi
Received: 19 Apr., 2016
Accepted: 4 Jun., 2016
Published: 15 Jun., 2016
Copyright © 2016
Datta et al., This is an open access article published under the terms of the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article
:
Datta S., Gupta P., Kaashyap M., and Kumar S., 2016, Genetic Diversity Analysis of Lentil (
Lens culinaris
Medik) Cultivars Using Inter Simple Sequence
Repeats Markers, Molecular Plant Breeding, 7(23): 1-9 (doi
Abstract
Molecular markers have emerged as useful tools to assess the genetic diversity across crops. In lentil, molecular markers are limited. The
objective of the study was to explore genetic diversity and relatedness Indian and exotic lentil accessions. Genetic diversity was studied in 25 lentil
cultivars using 100 ISSR markers. Out of 100 markers, 24 amplified PCR products and total of 156 alleles were identified with a mean of 6.5 alleles
per marker. Genetic similarity among the genotypes ranged from 37 to 84%. UPGMA cluster analysis revealed two main clusters, and the second
cluster comprised majority of genotypes with the exception of germplasm line Precoz, which did not fall in either cluster. Eleven genotype specific
unique bands were also obtained which showed amplification only in particular genotypes. These unique bands can serve as potential diagnostic
markers and therefore, may be of immense importance. The polymorphic markers will enhance marker repertoire to study genetic diversity in lentil
and also improve understanding about the genetic base lentil cultivars.
Keywords
Lens culinaris
, Dendrogram, Genetic diversity, ISSR
Introduction
Lentil (
Lens culinaris
Medikus), an autogamous diploid (2n = 2x = 14) species with haploid genome size of 4 063
Mbp, is an important cool-season food legume crop of South Asia, North America, West Asia and North Africa
and Australia (Hamweih et al., 2009).Globally, it is cultivated for its protein-rich grains in as many as 52 countries
on 3.64 million ha area with annual production of 3.60 million ton (FAOSTAT, 2011). However, about 95% of the
global production comes from just ten countries, namely Canada, India, Turkey, Nepal, Australia, China, Iran,
USA, Syria, and Ethiopia. India accounts for 39% (1.47 million ha) of the global acreage with 0.90 million ton
production.
Assessment of genetic diversity in germplasm is prerequisite for any breeding program so that genetic gain is not
limited because of narrow genetic base of parental lines (Kumar et al., 2004). Though morphological data and
pedigree information have been used in the past to assess genetic diversity among the lentil varieties, these studies
could not make much contribution to our knowledge due to limited phenotyping, high genotype X environment
interaction, and paucity of accurate record of ancestry.
In earlier studies, molecular markers such as Simple Sequence Repeat (SSR), Restriction Fragment Length
Polymorphism (RFLP), Amplified Fragment Length Polymorphism (AFLP) and Random Amplified Polymorphic
DNA (RAPD) have been preferred for genetic diversity analysis in lentil (Havey and Muehlbauer, 1989;
Abo-Elwafa et al., 1995; Sharma et al., 1995, 1996; Ahmad et al., 1996; Ford et al., 1997; Udupa et al., 1999; Abe
et al., 2003; Hamwieh et al., 2005, 2009; Reddy et al., 2010) and gene mapping (Eujayl et al., 1998; Tullu et al.,
2003; Duran et al., 2004; Kahraman et al., 2004; Hamwieh et al., 2005). SNPs were identified across Palestinian
lentil accessions for development of cost-effective and robust genotyping assays (Basheer-Salimia et al.,
2015).
Kaur et al. (2014) identified SSR and SNP markers from transcriptome and EST for construction of gene-based
