DNA
fingerprinting and genetic diversity studies in wheat genotypes using SSR
markers
Sundeep
Kumar*, Vinay Kumar, Pummy Kumari, Kirti, Amit Kumar Singh and Rakesh Singh
Division of
Genomic Resources, NBPGR, New Delhi-110012, India
*Corresponding
Author E-mail: sundeep@nbpgr.ernet.in,
sundeep.kumar@icar.gov.in
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Publication
Data
Paper received:
30 October 2015
Revised received:
04 January 2016
Accepted:
09 January 2016
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Abstract
Fifty
four wheat genotypes comprising of 41 Indian origin and 13 exotic genotypes
were characterized using 39 polymorphic SSR markers for DNA fingerprinting
and extent of genetic diversity. A total of 112 alleles ranging from 1 (Barc1,
Barc26 and Barc147) to 7 alleles (Barc77) were generated with an
average of 2.87 per SSR marker. The PIC value of SSR markers ranged from 0.03
to 0.49 with 0.29 mean PIC value indicating lower level of genetic diversity
among genotypes. Similarity values ranged from 22.8% (between MP-4161 and
K-424) to 78.7 % (between GP-350 and GP-361) with an average of 51.23 %.
UPGMA based cluster analysis, broadly grouped 54 genotypes into four clusters
were represented as A, B, C and D. Cluster D included maximum number of
genotypes (43) which was further divided into seven sub-clusters. Out of
thirteen exotic genotypes used in the present study, six were included in
sub-cluster D4. However, two exotic genotypes each were sub-clustered with
Indian genotypes into three sub-clusters, D-2, D-6 and D-7 revealing their
genetic similarity with genotypes of Indian origin. Genotypes from same
origin were usually clustered together, e.g. K-65 and K-68 belonged to Kanpur
region were clustered into 'Cluster B'. Similarly, MP-4115, MP-4131, MP-4136
and MP-4010 released for Madhya Pradesh were clustered into 'D-3'
sub-cluster. Present study also showed the potentiality of SSR markers for
study of genetic diversity and DNA fingerprinting in wheat. ????????
Key
words
Cultivar
identification, DNA Fingerprinting, PIC values, SSR markers, Wheat
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