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Journal of Pharmacognosy and Phytochemistry

Journal of Pharmacognosy and Phytochemistry

Vol. 7, Special Issue 5 (2018)

Molecular analysis of sorghum genotypes using functional marker cytochrome P450

Author(s):

Kumar Preet and Shalani Gupta

Abstract:
In the present study the genetic diversity of thirty sorghum bicolor L. genotypes to drought stress was assessed with the help of Cytochrome P450 markers. Molecular characterization of thirty sorghum genotypes was done by using ten Cytochrome P450 primers. In Cytochrome P450 analysis the total number of 16 bands was observed among the thirty sorghum genotypes. The PIC values, represents a allele diversity and frequency among the varieties, was highest for Cyt 02 and Cyt 06 primer and ranged from 0.25 to 1.00 with an average of 0.73. Primer Cyt 02<sup> </sup>having highest power to identify among the identified genotypes as they reflected the resolving power of 1.87. The resolving power varies from 1.00 to 1.87 with a mean value of 1.43. The similarity matrix ranged from 0.2 to 1 in Cytochrome P450 primers. The highest value of similarity matrix was reported in genotypes (Jalana local, MJ-513, HC-260 &amp; Pc-1001), (Rajasthan local &amp; HC-308), (PC-23, SPV-462, PC-1002 &amp; Golden local) and (Pant chari-5, Pc-615, Gwalior local, HC-171, PC-8, HC-136, SPV-1616 &amp; PC-3). While the lowest value of similarity matrix was observed in genotypes Rampur local &amp; SSV-84, Pant chari-7 &amp; Pant chari-4, Rajasthan local &amp; M.P chari and CSV-15 &amp; Pant chari-4.<strong> </strong>UPGMA method was used for cluster analysis and accordingly the thirty sorghum genotypes were grouped into two different clusters. Major clusters consist of 24 genotypes and rest of the six genotypes are grouped in the other cluster indicating presence of genetic diversity among the genotypes at molecular level.

Pages: 120-124  |  1247 Views  185 Downloads

How to cite this article:
Kumar Preet and Shalani Gupta. Molecular analysis of sorghum genotypes using functional marker cytochrome P450. J Pharmacogn Phytochem 2018;7(5S):120-124.

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