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. 2019 Jan 3;5:1. doi: 10.1186/s40851-018-0113-z

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 4 — Principal Component Analysis (PCA) plots showing the multivariate variation among animals (a and b) and eggs (c and d) in terms of morphometric data. Vectors (green) indicate the direction and strength of each morphometric variable to the overall distribution. a Morphometric data of animals of the different populations. b Mean values of the morphometric data of animals in the different populations. c Morphometric data of eggs of the different populations. d Mean values of the morphometric of the data of the eggs in the different populations. Populations: CI = Clare Island; Fo = Formigine; Ga = Gaggio; PB = Passo Ballino; PM = Piane di Mocogno; Po = Pondel; Pr = Prodo; Ol = Olbia; Ri = Riccò; Ro = Rocchetta; for more information see Table 1. Morphometric data (according to Table 2, Additional file 1: Table S3): BTd = pt buccal tube diameter; ISS = pt insertion of the stylet support point; CLII = pt second claw pair; CLIV = pt fourth claw pair; PLr = pt macroplacoids row; DE = diameter of the egg; DP = diameter of the egg process; HP = height of the egg process; NP = number of processes per hemisphere. The first and second principal components explained the following variance, respectively: a 45.30 and 40.51%; b 53.70 and 39.68%; c 77.18 and 14.34%; d 81.81 and 14.39%