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Genotypic differentiation of Monilinia spp. populations in Serbia using a high-resolution melting (HRM) analysis

Author

Listed:
  • Antonios Zambounis

    (Institute of Plant Breeding and Genetic Resources, Department of Deciduous Fruit Trees, ELGO-DEMETER, Naoussa, Greece)

  • Eleni Stefanidou

    (Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki, Greece)

  • Panagiotis Madesis

    (Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki, Greece
    Laboratory of Molecular Biology of Plants, School of Agricultural Sciences, University of Thessaly, Thessaly, Greece)

  • Jovana Hrustić

    (Laboratory of Phytopathology, Institute of Pesticides and Environmental Protection, Belgrade, Serbia)

  • Milica Mihajlović

    (Laboratory of Phytopathology, Institute of Pesticides and Environmental Protection, Belgrade, Serbia)

  • Brankica Tanović

    (Laboratory of Phytopathology, Institute of Pesticides and Environmental Protection, Belgrade, Serbia)

Abstract

Monilinia laxa, Monilinia fructicola and Monilinia fructigena are the three main causal agents of brown rot, which is one of the most important diseases of stone fruits in pre- and postharvest conditions. Nowadays, the need for the precise genotyping of these Monilinia species in terms of the genetic diversity of their populations or differences in their pathogenicity and host range is a prerequisite for any efficient disease management. In our study, the genetic structure of Monilinia populations in Serbia from three geographically distinct regions was investigated employing a high-resolution melting (HRM) analysis which is a sensitive and rapid molecular approach in fungal ge­notyping and diagnostics. Using species-specific primer pairs genotype-specific HRM melting curve profiles were generated allowing to efficiently decipher the genetic diversity of the Monilinia populations. The Monilinia genotypes could be easily distinguished according to their melting curves. The isolates from the northern region were assigned to distinct genotypes and grouped rather independently compared to the isolates of the other two regions among all three tested Monilinia spp. M. fructicola and M. fructigena showed a higher genetic diversity among their populations (44%) compared with the genetic diversity among the M. laxa populations (7%). In contrast, the genetic variance within the pathogen populations was higher in the case of M. laxa (93%). Our data revealed an absence of host specificity in the Monilinia spp. populations.

Suggested Citation

  • Antonios Zambounis & Eleni Stefanidou & Panagiotis Madesis & Jovana Hrustić & Milica Mihajlović & Brankica Tanović, 2021. "Genotypic differentiation of Monilinia spp. populations in Serbia using a high-resolution melting (HRM) analysis," Plant Protection Science, Czech Academy of Agricultural Sciences, vol. 57(1), pages 38-46.
    • Handle: RePEc:caa:jnlpps:v:57:y:2021:i:1:id:35-2020-pps
    DOI: 10.17221/35/2020-PPS
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    References listed on IDEAS

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    1. Antonios Zambounis & Anastasios Samaras & Aliki Xanthopoulou & Maslin Osathanunkul & Leonardo Schena & Athanasios Tsaftaris & Panagiotis Madesis, 2016. "Identification of Phytophthora species by a high resolution melting analysis: an innovative tool for rapid differentiation," Plant Protection Science, Czech Academy of Agricultural Sciences, vol. 52(3), pages 176-181.
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      Keywords

      brown rot; population genotyping;

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