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Genetic
diversity of sugar beet genotypes evaluated
by
microsatellite DNA markers
S.
Srivastava*, A. D. Pathak, R. Kumar and B.B. Joshi
Division of Crop
Improvement, ICAR-Indian Institute of Sugarcane Research, Lucknow-226 002,
India
*Corresponding
Author E-mail: sangeeta_iisr@yahoo.co.in
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Key
words
Beta vulgaris,
DNA markers,
Genetic variation,
Genotypes,
Microsatellite
Publication Data
Paper received : 19.08.2015??????
Revised received :
02.11.2016???
Re-revised received :
28.11.2016
Accepted : 15.02.2017?
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Abstract
Aim: Identification of
diverse sugar beet (Beta vulgaris L.) genotypes is essential for using
them as parents in sugar beet improvement programme of India. Hence, genetic
variation and diversity of elite sugar beet germplasm collection was analysed
using microsatellite markers.
Methodology:
Genomic
DNA of thirteen genotypes was amplified using 14 microsatellite primers
containing dinucleotide to compound repeat motifs. Amplified bands were
scored on gel, transformed into a binary character matrix and analyzed
through NTSYS software for clustering in heterotic groups.
Results:
A
total of 243 amplicons were resolved and grouped into 88 alleles of distinct
molecular weight ranging from 124 to 1222 bp with an average of 17.36
amplicons/primer, 4 to10 alleles/SSR locus and moderate to high PIC ranging
from 0.625-0.851. Similarity coefficients (SM) based on the presence/absence
of alleles ranged from 0.47 to 0.89 (mean value of 0.65). UPGMA dendrogram
based on SM, grouped these genotypes in two major taxonomical groups with
five clusters having one, four, three, three and two genotypes each.
Clustering pattern of UPGMA matched with the 2D and 3D scatter plots of MDS
and PCA. The highly significant cophenetic coefficient of r = 0.96 proved
that these SSR markers efficiently analyzed the genetic relationships of
sugar beet genotypes. ?????
Interpretation:
Microsatellite
markers can be used as a potential cost effective method for exploring
molecular genetic diversity in sugar beet in order to obtain new genetic
combinations.
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Copyright
? 2017 Triveni Enterprises. All rights reserved. No part of the Journal can
be reproduced in any form without prior permission. Responsibility
regarding the authenticity of the data, and the acceptability of the conclusions
enforced or derived, rest completely with the author(s).
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