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The number of infected plants for each resistant cultivar/isolate combination ranged from 0 to 8 (Table?5). The assignment of an isolate to a pathotype was made according to its capacity to infect the different resistant cultivars. However, the number of infected plants per cultivar differed between isolates belonging to a specific pathotype. Thus, the PCA analysis was performed on the number of infected plants for each isolate (observations) and alleles of the va gene present in VAM, Wislica and PBD6 cultivars (initial variables). The results of the PCA procedure showed that axis F1, F2 and http://www.selleck.cn/products/MLN8237.html F3 explained 88��3, 7��7 and 4% of the variability contained in the initial data set, respectively. Thus, 96% of the observed variability was illustrated along the F1 and F2 axis (Fig.?1a). Each of the va0, va1 and va2 variables was associated with the F1 axis (cos2?=?0��842, http://www.selleckchem.com/products/XL184.html cos2?=?0��903 and cos2?=?0��904, respectively). Moreover, the absolute contribution of va0, va1 and va2 to the F1 axis was 31��8, 34��1 and 34��1%, respectively. A hierarchical ascendant classification was carried out on the coordinates of isolates along the PCA F1 axis to group PVY isolates sharing similar biological properties. Data associated with isolates can be illustrated on the F1/F2 axes with the observations distributed along the F1 axis (Fig.?1b). The HAC analysis allowed the identification of three groups (Fig.?1b, Table?5). For each HAC group, the variables associated with the geographical (north/south) and biological (susceptible/resistance) origins of PVY isolates were compared using both binomial and chi-square tests (Table?6). Binomial tests showed that isolates were mainly associated with south/susceptible tobacco hosts in HAC groups 1 and 2 (P? http://www.selleckchem.com/products/CP-690550.html tobacco hosts (P?