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Genetic Markers Analyses and Bioinformatic Approaches to Distinguish Between Olive Tree (Olea europaea L.) Cultivars

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Abstract

The genetic diversity of 22 olive tree cultivars (Olea europaea L.) sampled from different Mediterranean countries was assessed using 5 SNP markers (FAD2.1; FAD2.3; CALC; SOD and ANTHO3) located in four different genes. The genotyping analysis of the 22 cultivars with 5 SNP loci revealed 11 alleles (average 2.2 per allele). The dendrogram based on cultivar genotypes revealed three clusters consistent with the cultivars classification. Besides, the results obtained with the five SNPs were compared to those obtained with the SSR markers using bioinformatic analyses and by computing a cophenetic correlation coefficient, indicating the usefulness of the UPGMA method for clustering plant genotypes. Based on principal coordinate analysis using a similarity matrix, the first two coordinates, revealed 54.94 % of the total variance. This work provides a more comprehensive explanation of the diversity available in Tunisia olive cultivars, and an important contribution for olive breeding and olive oil authenticity.

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Acknowledgments

This work was supported by the Tunisian Ministry of Higher Education and Scientific Research.

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Authors and Affiliations

  1. Molecular and Cellular Screening Process Laboratory, Centre of Biotechnology of Sfax, Sidi Mansour Road, BP ‘1177’, 3018, Sfax, Tunisia

    Rayda Ben Ayed, Karim Ennouri & Ahmed Rebai

  2. Laboratory of Physics, Mathematics and Applications, Faculty of Sciences of Sfax, Sfax, Tunisia

    Hanen Ben Hassen

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  1. Rayda Ben Ayed
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  2. Hanen Ben Hassen
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  3. Karim Ennouri
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  4. Ahmed Rebai
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Correspondence to Rayda Ben Ayed.

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Ben Ayed, R., Ben Hassen, H., Ennouri, K. et al. Genetic Markers Analyses and Bioinformatic Approaches to Distinguish Between Olive Tree (Olea europaea L.) Cultivars. Interdiscip Sci Comput Life Sci 8, 366–373 (2016). https://doi.org/10.1007/s12539-016-0155-x

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  • DOI: https://doi.org/10.1007/s12539-016-0155-x

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