Genotypic structure of mussel samples from contact zones between M . edulis and M . trossulus .

• Main Authors: Vadim Khaitov (2589874), Julia Marchenko (11177903), Marina Katolikova (2589880), Risto Väinölä (2589886), Sarah E. Kingston (3608393), David B. Carlon (11177906), Michael Gantsevich (2589877), Petr Strelkov (2589883)
• Format: Still Image
• Language: unknown
• Published: 2021
• Subjects: Evolutionary Biology; Ecology; Inorganic Chemistry; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; morphotype; trossulu; White Sea; semi-diagnostic conchological character; Arctic Barents Sea; species identification; mussels Mytilus edulis L; Baltic Sea; unstudied contact zones; Arctic; Barents Sea; Gam
• Online Access: https://doi.org/10.1371/journal.pone.0249587.s002

A. Frequency distributions of individual q-values in pooled samples. Red and blue bars indicate T- and E-morphotypes, correspondingly. B. Distributions of individual q-values in samples ordinated by Ptros (proportion of M . trossulus ). Red and blue dots indicate T- and E-morphotypes, correspondingly. To avoid overplotting, the horizontal position of all points (individual mussels) was jittered by adding a small random value. For visual purposes, chart areas with maximal dots density are contoured and the probability of T-morphotype presence is shown by the color gradient. The contour lines represent the kernel density estimations (Venables, Ripley 2002) with density2d() function in “ggplot2” package. The probability was assessed using the binomial general additive model, GAM (Zuur, 2012) with the binary outcome (T vs E morphotype) as dependent variable and “Structure q-score”, “ Ptros ” and “ Set ” as independent predictors. SCOT and NORW were not included in GAM due to poore cover of Ptros axis. References for S2 Fig : Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer. Zuur, A.F. (2012) A Beginner’s Guide to Generalized Additive Models with R. Highland Statistics Ltd, Newburgh. (TIF)