2008•AFRICAN JOURNAL OF BIOTECHNOLOGYOpen access

Analogy of ISSR and RAPD markers for comparative analysis of genetic diversity among different Jatropha curcas genotypes

Shweta Kirti Gupta, Mani Srivastava, GYAN PRAKASH MISHRA, Pradeep Kumar Naik, R. S. Chauhan, S. K. Tiwari, Meetul Kumar, Raghwendra Singh

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Abstract

polymorphism detection, as they detected 84.26% as compared to 76.54% for ISSR markers. But, resolving power (Rp), average bands per primer, Nei’s genetic diversity (h), Shannon’s Information Index (I), total genotype diversity among population (Ht), within population diversity (Hs) and gene flow (Nm) estimates were more for ISSR (7.098, 5.79, 0.245, 0.374, 0.244, 0.137 and 0.635, respectively) as compared to RAPD markers (5.669, 5.35, 0.225, 0.359, 0.225, 0.115 and 0.518, respectively). The regression test between the two Nei’s genetic diversity indexes gave r 2 = 0.3318, showing low regression between RAPD and ISSR based similarities. Regression value for ISSR and ISSR + RAPD combined data is moderate (0.6027), while it is maximum for RAPD and ISSR+RAPD based similarities (0.9125). Thus both the markers are equally important for genetic diversity analysis in Jatropha curcas. Clustering of genotypes within groups was not similar when RAPD and ISSR derived dendrogram were compared, whereas the pattern of clustering of the genotypes remained more or less the same in RAPD and combined data of RAPD + ISSR. Principal Coordinates Analysis (PCA) analysis was also employed to evaluate the resolving power of the markers to differentiate between the genotypes. These analyses, carried out for both (ISSR and RAPD) markers, allowed us to identify four main groups partially corresponding to the four J. curcas collection sites. The results of the present study can be seen as a starting point for future researches on the population and evolutionary genetics of these genotypes.

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What this paper is about

polymorphism detection, as they detected 84.26% as compared to 76.54% for ISSR markers. But, resolving power (Rp), average bands per primer, Nei’s genetic diversity (h), Shannon’s Information Index (I), total genotype diversity among population (Ht), within population diversity (Hs) and gene flow (Nm) estimates were more for ISSR (7.098, 5.79, 0.245, 0.374, 0.244, 0.137 and 0.635, respectively) as compared to RAPD markers (5.669, 5.35, 0.225, 0.359, 0.225, 0.115 and 0.518, respectively). The regression test between the two Nei’s genetic diversity indexes gave r 2 = 0.3318, showing low regression between RAPD and ISSR based similarities. Regression value for ISSR and ISSR + RAPD combined data is moderate (0.6027), while it is maximum for RAPD and ISSR+RAPD based similarities (0.9125). Thus both the markers are equally important for genetic diversity analysis in Jatropha curcas. Clustering of genotypes within groups was not similar when RAPD and ISSR derived dendrogram were compared, whereas the pattern of clustering of the genotypes remained more or less the same in RAPD and combined data of RAPD + ISSR. Principal Coordinates Analysis (PCA) analysis was also employed to evaluate the resolving power of the markers to differentiate between the genotypes. These analyses, carried out for both (ISSR and RAPD) markers, allowed us to identify four main groups partially corresponding to the four J. curcas collection sites. The results of the present study can be seen as a starting point for future researches on the population and evolutionary genetics of these genotypes.

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Available abstract

polymorphism detection, as they detected 84.26% as compared to 76.54% for ISSR markers. But, resolving power (Rp), average bands per primer, Nei’s genetic diversity (h), Shannon’s Information Index (I), total genotype diversity among population (Ht), within population diversity (Hs) and gene flow (Nm) estimates were more for ISSR (7.098, 5.79, 0.245, 0.374, 0.244, 0.137 and 0.635, respectively) as compared to RAPD markers (5.669, 5.35, 0.225, 0.359, 0.225, 0.115 and 0.518, respectively). The regression test between the two Nei’s genetic diversity indexes gave r 2 = 0.3318, showing low regression between RAPD and ISSR based similarities. Regression value for ISSR and ISSR + RAPD combined data is moderate (0.6027), while it is maximum for RAPD and ISSR+RAPD based similarities (0.9125). Thus both the markers are equally important for genetic diversity analysis in Jatropha curcas. Clustering of genotypes within groups was not similar when RAPD and ISSR derived dendrogram were compared, whereas the pattern of clustering of the genotypes remained more or less the same in RAPD and combined data of RAPD + ISSR. Principal Coordinates Analysis (PCA) analysis was also employed to evaluate the resolving power of the markers to differentiate between the genotypes. These analyses, carried out for both (ISSR and RAPD) markers, allowed us to identify four main groups partially corresponding to the four J. curcas collection sites. The results of the present study can be seen as a starting point for future researches on the population and evolutionary genetics of these genotypes.

Key concepts: RAPD, Genetic diversity, Biology, Dendrogram, Population, Genotype, Veterinary medicine, Genetics

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