2015Pakistan Journal of BotanyOpen access

SCoT MARKER FOR THE ASSESSMENT OF GENETIC DIVERSITY IN SAUDI ARABIAN DATE PALM CULTIVARS

Fahad Al‐Qurainy, Salim Khan, Mohammad Nadeem, Mohamed Tarroum, Saudi Arabia

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Abstract

Different types of molecular markers based on DNA have been used for the assessment of genetic diversity in the plant species. Start Codon Targeted Polymorphism (SCoT) marker has recently become the marker of choice in genetic diversity studies. SCoT marker was used for the assessment of genetic diversity in Saudi Arabian date palm cultivars. The percentage of polymorphic loci (PPL) at population level ranged from 3.28 to 13.11 with an average of 7.10. The Nei’s gene diversity (h) and Shannon’s Information index (I) were 0.033 and 0.046, respectively. However, at cultivar level, PPL, Nei’s gene diversity (h) and Shannon’s Information index (I) were 42.62, 0.090 and 0.155, respectively. Analysis of molecular variance (AMOVA) showed 48% of variation within the populations, whereas 52% was found among the populations. A hierarchical analysis of molecular variance revealed level of genetic differentiation among populations (52% of total variance, P = 0.001), consistent with the gene differentiation coefficient (Gst = 0.631). Unweighted pair group method of arithmetic averages (UPGMA) cluster analysis of the SCoT marker data divided the six cultivars and their populations into five main clusters at 0.95 genetic similarity coefficient level.

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Different types of molecular markers based on DNA have been used for the assessment of genetic diversity in the plant species. Start Codon Targeted Polymorphism (SCoT) marker has recently become the marker of choice in genetic diversity studies. SCoT marker was used for the assessment of genetic diversity in Saudi Arabian date palm cultivars. The percentage of polymorphic loci (PPL) at population level ranged from 3.28 to 13.11 with an average of 7.10. The Nei’s gene diversity (h) and Shannon’s Information index (I) were 0.033 and 0.046, respectively. However, at cultivar level, PPL, Nei’s gene diversity (h) and Shannon’s Information index (I) were 42.62, 0.090 and 0.155, respectively. Analysis of molecular variance (AMOVA) showed 48% of variation within the populations, whereas 52% was found among the populations. A hierarchical analysis of molecular variance revealed level of genetic differentiation among populations (52% of total variance, P = 0.001), consistent with the gene differentiation coefficient (Gst = 0.631). Unweighted pair group method of arithmetic averages (UPGMA) cluster analysis of the SCoT marker data divided the six cultivars and their populations into five main clusters at 0.95 genetic similarity coefficient level.

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Available abstract

Different types of molecular markers based on DNA have been used for the assessment of genetic diversity in the plant species. Start Codon Targeted Polymorphism (SCoT) marker has recently become the marker of choice in genetic diversity studies. SCoT marker was used for the assessment of genetic diversity in Saudi Arabian date palm cultivars. The percentage of polymorphic loci (PPL) at population level ranged from 3.28 to 13.11 with an average of 7.10. The Nei’s gene diversity (h) and Shannon’s Information index (I) were 0.033 and 0.046, respectively. However, at cultivar level, PPL, Nei’s gene diversity (h) and Shannon’s Information index (I) were 42.62, 0.090 and 0.155, respectively. Analysis of molecular variance (AMOVA) showed 48% of variation within the populations, whereas 52% was found among the populations. A hierarchical analysis of molecular variance revealed level of genetic differentiation among populations (52% of total variance, P = 0.001), consistent with the gene differentiation coefficient (Gst = 0.631). Unweighted pair group method of arithmetic averages (UPGMA) cluster analysis of the SCoT marker data divided the six cultivars and their populations into five main clusters at 0.95 genetic similarity coefficient level.

Key concepts: Analysis of molecular variance, UPGMA, Genetic diversity, Biology, Molecular marker, Genetic distance, Diversity index, Genetic variation

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