Research article

Geometric morphometry of Phytophthora plurivora sporangia

Ecaterina Fodor , Ovidiu Hâruţa, Ivan Milenković, Aneta Lyubenova, Giorgos Tziros, Nenad Keča, Slavtcho Slavov, Stephanos Diamandis, Kaloyan Kostov

Ecaterina Fodor
University of Oradea, Faculty of Environmental Protection, Department of Forestry and Forest Engineering, Gen. Magheru 26, Oradea, Romania. Email:
Ovidiu Hâruţa
University of Oradea, Faculty of Environmental Protection, Department of Forestry and Forest Engineering, Gen. Magheru 26, Oradea, Romania
Ivan Milenković
Institute of Forestry, Belgrade, Serbia
Aneta Lyubenova
AgroBioInstitute Sofia, Bulgaria
Giorgos Tziros
NAGREF-Forest Research Institute, Greece
Nenad Keča
University of Belgrade, Department of Forestry, Serbia
Slavtcho Slavov
AgroBioInstitute Sofia, Bulgaria
Stephanos Diamandis
NAGREF-Forest Research Institute, Greece
Kaloyan Kostov
AgroBioInstitute Sofia, Bulgaria

Online First: June 29, 2015
Fodor, E., Hâruţa, O., Milenković, I., Lyubenova, A., Tziros, G., Keča, N., Slavov, S., Diamandis, S., Kostov, K. 2015. Geometric morphometry of Phytophthora plurivora sporangia. Annals of Forest Research DOI:10.15287/afr.2015.411

Eigenshape analysis and Relative Warp Analysis were employed in the study of the shape of highly variable sporangia of Phytophthora plurivora, a widespread oomycetous pathogen isolated from woody species, in several South-East European countries: Bulgaria, Greece, Serbia and Romania. The aim of the study was to estimate whether shape variables permitted the quantitative assessment of sporangial shape variability in P. plurivora and also, the discrimination between species based solely on sporangial shape, P. cactorum being selected for comparisons. Both Eigenshape and Relative Warp Analyses showed that the most variable sporangial areas were apical and basal regions. More than half of the shape variation was accounted for the first 2 ES axes (66.75%) and first two RW axes (61.74%). ESA performed better in terms of species shape (P. plurivora and P. cactorum) separation. Canonical Variate Analysis/MANOVA and Discriminant Analysis indicated the clear discrimination between species and between isolates of P. plurivora. Mean or consensus shape performed as the best shape descriptor of sporangia. High dimensional variation considered in terms of centroid size corroborated with shape variation spanning from symmetrical consensus shape to conspicuously asymmetric shapes.

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