Fig 1.
External morphology of Folsomia candida displaying the main observed characters and their variation. The character numbers correspond to the one in Table 1. bms, basal microsensilla.
Table 1.
Characters description and level of variation.
The whole range of character variation is given. Data in parenthesis represent variants occurring singly. The whole dataset is available in S1 Dataset.
Fig 2.
Head morphological character state distribution (Table 1) for the studied strains of F. candida. The strains are aligned as follows: the new SH sexual strain is plotted on the left hand side. Then, based on previous work, we have grouped together the clones AP to HA since they are known to be genetically affiliated. The right hand side of the graphs represents in alphabetic order the clones DK to WI that are known to belong to another distinct clade. For each strain the raw observations are plotted with little vibration so that the points do not overlap. For lateral characters, the left side characters are figured as circles and the right side ones as squares. The estimated means and 95% confidence intervals (see main text for details, especially for characters treated as binomial variables) are plotted for each strain. The horizontal grey dotted line underlines the overall mean trait value.
Fig 3.
Thorax morphological character state distribution for the studied strains of F. candida. See Fig 2 caption and Table 1 for details.
Fig 4.
Abdomen morphological character state distribution for the studied strains of F. candida. See Fig 2 caption and Table 1 for details.
Fig 5.
A) Strict consensus tree obtained from a parsimony analysis of tree based on the binomilaisation of the scaled and centred morphological data (black and white colours of the trait values in C). B) Cluster dendrogram made on the scaled measurements of the morphological traits that have been shown to vary between strains using average method. The approximately unbiased (au) p-values (expressed as %) computed by multiscale bootstrap resampling indicate for each node how strong the cluster is supported by data.