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Grapevine Phenological Quantitative Trait SSR Genotyping Using High-Throughput HRM-PCR Analysis

Murad Awad1, Photini V. Mylona2, Alexios N. Polidoros1,*

1 Laboratory of Genetics and Plant Breeding, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
2 Institute of Plant Breeding & Genetic Resources, HAO-DEMETER, Thermi, 57001, Greece

* Corresponding Author: Alexios N. Polidoros. Email: email

Phyton-International Journal of Experimental Botany 2020, 89(4), 905-923.


Discrimination among grapevine varieties based on quantitative traits, such as flowering, veraison and ripening dates is crucial for variety selection in the context of climate change and in breeding programs. These traits are under complex genetic control for which 6 linked SSR loci (VVS2, VVIn16, VMC7G3, VrZAG29, VMC5G7, and VVIB23) have been identified. Using these markers in HRM-PCR analysis, we assessed genetic diversity among a large collection of 192 grapevine varieties. The grapevine germplasm used encompasses the majority of Greek vineyard with 181 varieties, 3 prominent foreign varieties and 11 varieties of Palestinian origin. The SSR markers used were highly polymorphic, displaying unique melting curves for unusually higher number of samples than generally observed in SSR analysis. This prompted us to examine sequence composition for selected samples and found that variation present as SNPs in the flanking sequences of SSR motifs was responsible for the observed polymorphism. Hence, HRM-PCR proved to be a tool of higher analytical power to distinguish genotypes surpassing the discrimination power of conventional gel-based SSR analysis. The study provides a better understanding of genetic variation of SSR marker loci associated to phenological traits in grapevine varieties, signifying an analytical methodology that may be of higher discrimination power in detection of polymorphism for utilization in breeding programs.


Cite This Article

Awad, M., Mylona, P. V., Polidoros, A. N. (2020). Grapevine Phenological Quantitative Trait SSR Genotyping Using High-Throughput HRM-PCR Analysis. Phyton-International Journal of Experimental Botany, 89(4), 905–923.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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