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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(12): 2222-2232
DOI: https://doi.org/10.20546/ijcmas.2018.712.253


Microsatellite based Genetic Divergence Study in Bread Wheat (Triticum aestivum L. em. Thell.)
Monu Kumar1,2, R.K. Sharma1*, G.P. Singh1,3 and Anima Mahato4
1Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi – 110 012, India
2ICAR-Central Research Institute for Jute and Allied Fibres, Barrackpore – 700 120, India
3ICAR-Indian Institute of Wheat and Barley Research, Karnal – 132 001, India
4ICAR-Indian Institute of Seed Science, Mau – 275103, India
*Corresponding author
Abstract:

A set of 45 polymorphic microsatellite markers, representing markers for almost each chromosome, was used for the assessment of genetic diversity in 35 genotypes of bread wheat. A total of 127 alleles were detected which ranged from 2 to 6 with an average allele number of 2.82 per locus. The PIC value of the 45 SSRs ranged from 0.08 to 0.50 with an average PIC of 0.30. Resolving power and Marker index of all 45 markers varied from 0.17 to 2.82 and 0.16 to 1.52, respectively. Genome wise comparison of diversity recorded maximum genomic diversity in genome A with highest number of alleles per locus (2.95), PIC (0.31), RP (1.33) and MI (0.90). A comparative study on the basis of homeologous chromosomes revealed homeologous chromosome 1 had highest number of alleles per locus (3.0), PIC value (0.32), RP (1.40) and MI (0.92). The homeologous chromosomes 5 and 7 were found to be most conserved with low PIC, RP and MI. The dendrogram, prepared on the basis of similarity matrix using the UPGMA algorithm, delineated the all genotypes into three clusters with 13, 11 and 11 genotypes in cluster I, II and III, respectively. The results demonstrate the utility of microsatellite markers for detecting polymorphism and for estimating genetic diversity in wheat.


Keywords: Bread wheat, Genetic diversity, SSR markers, Molecular characterization, DNA fingerprints
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How to cite this article:

Monu Kumar, Sharma, R.K., Singh, G.P. and Anima Mahato. 2018. Microsatellite based Genetic Divergence Study in Bread Wheat (Triticum aestivum L. em. Thell.).Int.J.Curr.Microbiol.App.Sci. 7(12): 2222-2232. doi: https://doi.org/10.20546/ijcmas.2018.712.253