Genetic Diversity Analysis in <i>Grevillea robusta</i> using ISSR Molecular Markers

Priyanka Parmar; Aman Dabral; R. K. Meena; Shailesh Pandey; Rama Kant; M. S. Bhandari

doi:10.36808/if/2019/v145i3/144477

Genetic Diversity Analysis in Grevillea robusta using ISSR Molecular Markers

Authors

Priyanka Parmar Department of Bioscience and Biotechnology, Banasthali University, Banasthali, Rajasthan
Aman Dabral Forest Research Institute, Dehradun, Uttarakhand
R. K. Meena Forest Research Institute, Dehradun, Uttarakhand
Shailesh Pandey Forest Research Institute, Dehradun, Uttarakhand
Rama Kant Forest Research Institute, Dehradun, Uttarakhand
M. S. Bhandari Forest Research Institute, Dehradun, Uttarakhand

DOI:

https://doi.org/10.36808/if/2019/v145i3/144477

Keywords:

Grevillea robusta, ISSR, Genetic Diversity, Genetic Improvement, Principal Coordinate Analysis.

Abstract

The present study aimed to analyze genetic diversity using inter simple sequence repeat (ISSR) molecular markers among eleven genotypes of Grevillea robusta collected from Haridwar, Uttarakhand. Out of the total 108 bands generated with 11 ISSR primers, 104 were found to be polymorphic. The percentage of polymorphic bands at genetic level was 96.30%. The mean value of expected heterozygosity and unbiased heterozygosity were 0.290 and 0.305, respectively. Jaccard's similarity value ranged from 0.398 to 0.790. The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) clustering segregated the genotypes into two major clusters based on the pair-wise similarity coefficient. Clustering pattern revealed by UPGMA dendrogram was also supported by Principal Coordinate Analysis (PCoA). In the PCoA plot, 26.76% and 17.16% of total genetic variation were accounted by first and second coordinate, respectively. The higher level of genetic diversity was revealed by the values 0.445 Â± 0.20 and 0.290 Â± 0.16 recorded as Shannon's Information Index (I) and expected heterozygosity (H ), respectively. Therefore, the present E study reflects that a sufficient variability exist in the sampled germplasm and genetic improvement work could be very much effective in G. robusta for utilization in future agroforestry programme of the country.

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