Journal of Environmental Biology

Microsatellite markers based characterization in advance breeding lines and cultivars of bread wheat

D. Phougat*, I.S. Panwar, M.S. Punia and S.K. Sethi

Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hissar-125 004, India

*Corresponding Author E-mail: divyaphougat786@gmail.com

Key words

Breeding lines

Genetic diversity

Microsatellite markers

Polymorphism

Wheat cultivars

Publication Data

Paper received : 23.05.2016

Revised received : 29.11.2016

Re-revised received : 05.09.2017

Accepted : 07.09.2017?  

Abstract

Aim: Studying genetic diversity is useful for wheat breeding and production of more efficient wheat cultivars under changing climatic conditions. Forty-four diverse bread wheat genotypes were assessed for genetic diversity study using 70 microsatellite (SSRs) markers covering all three genomes.  

Methodology: Genomic DNA of 44 genotypes was extracted using CTAB method and quality was checked by UV spectrophotometer and agarose gel electrophoresis. PCR amplification reaction was carried out and amplified products were resolved by horizontal electrophoresis. Bands were scored and matrix was used to calculate the similarity genetic distance. Phenotypic data was subjected to Euclidean cluster analysis for estimation of genetic divergence and grouping of genotypes into clusters.

Results: A total of 181 alleles were detected and the number of alleles per locus ranged from 1-5 with an average of 2.6 alleles per locus. The overall size of PCR products amplified ranged from 100-475 bp. Significant differences in al?lelic diversity among various microsatellite loci were seen. The SSR primers, xgwm 428, xbarc 1165, wmc 477, psp 3071, xcfa 2129, xgwm 18, xgwm 234 and xbarc 359 amplified single allele, while the primers xgwm 46, xgwm 334 and wmc 517 amplified five alleles. The similarity coefficients among all the genotypes ranged from 0.62 to 0.81. The cluster tree analysis based on UPGMA following the software NTSYS PC led to grouping of 44 genotypes in different clusters in such a way that the genotypes within each cluster had higher similarity than between clusters. ?     

Interpretation: The study ascertained that microsatellite markers can be exploited as a new generation tool in studying the polymorphism and genetic diversity among cultivars and further, selection of parental combinations for initiating breeding programs.

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