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Identification of Phytophthora species by a high resolution melting analysis: an innovative tool for rapid differentiation

Antonios Zambounis, Anastasios Samaras, Aliki Xanthopoulou, Maslin Osathanunkul, Leonardo Schena, Athanasios Tsaftaris and Panagiotis Madesis
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Antonios Zambounis: Laboratory of Genetics and Plant Breeding, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
Anastasios Samaras: Laboratory of Phytopathology, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
Aliki Xanthopoulou: Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki, Greece
Maslin Osathanunkul: Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand
Leonardo Schena: Departement of Agricultural Science, Faculty of Agricultural Science, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy
Athanasios Tsaftaris: Laboratory of Genetics and Plant Breeding, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, Greece
Panagiotis Madesis: Institute of Applied Biosciences, CERTH, Thermi, Thessaloniki, Greece

Plant Protection Science, 2016, vol. 52, issue 3, 176-181

Abstract: A new molecular method via the high resolution melting (HRM) analysis of the Ypt1 gene non-coding regions was validated for ten Phytophthora species with a broad host range from forest trees to crop species. The melting curve analysis of the amplicons specifically grouped all species into 10 respective unique and distinct HRM curve profiles. The analysis of the normalised HRM melting curves, assigning P. nicotianae as a normalised reference genotype, revealed that the genotype similarities among all the species were adequately low, indicating that Ypt1 marker was sufficient to identify and differentiate the tested species. This HRM method is rapid and reproducible allowing the identification of Phytophthora species and the screening of eventual variants eliminating the separate steps and reducing the risk of contamination.

Keywords: fungal differentiation; fungi of vegetable and tree plants; HRM; plant breeding; Ypt1 gene (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlpps:v:52:y:2016:i:3:id:179-2015-pps

DOI: 10.17221/179/2015-PPS

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