Computational protocol: At home at least: the taxonomic position of some north African Xerocrassa species (Pulmonata, )

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[…] First assessments of the shell morphological characters were done by using simple magnifying glasses. Preserved animals were dissected under LEICA M212 stereo-microscope using thin tweezers. The genital organs of the specimens were removed from the body, the genital situs (i.e. the outer morphology of the complete hermaphroditic genital organ) and further morphological details were investigated. After that, shells, genital situs, and details of the genital organs were photographed with a LEICA DFC 425 camera combined with a LEICA M205 C. The multifocal images were processed by using an imaging software (Imagic Switzerland). [...] Forward and reverse sequences were assembled, checked for ambiguities and aligned using default settings of “Clustal W” implemented in Bioedit V 7.2.5 (). Aligned sequences of Tunisian Xerocrassa species were analysed using DnaSP v5.10.01 software () to estimate number of informative sites and nucleotide diversity for each marker used. The p-distance values within Tunisian samples were estimated using Mega v.6 (). The relationships of inferred haplotypes of mitochondrial nuclear and concatenated dataset of Tunisian Xerocrassa species were estimated using the TCS method () implemented with Popart software v1.7 (Leigh et al. 2015). [...] Our data consist of two mitochondrial markers and one nuclear ribosomal cluster. The data was partitioned used the PartitionFinder software v1.1.1 (), in six partitions: three codon positions of the COI, the 16S the rRNA 5.8S and 28S were considered as a single partition and finally the ITS2.For the mitochondrial dataset as well as for the concatenated data, we produced two phylogenetic trees within the Mediterranean Xerocrassa species using the Maximum Likelihood (ML) and the Bayesian inference (BI). The ML analyses were conducted using RAxML v7.2.6 (, ) under the GTRGAMMA model, with 1000 nonparametric bootstrap replicates to estimate node support. For the Bayesian Inference, we used Mr Bayes v3.2.2 () using partition scheme and substitutions models suggested by PartitionFinder v1.1.1 (). Four independent runs were conducted for 106 generations, sampling every 1000. The first 25% trees were discarded as default burn-in and a majority rule consensus tree was calculated from the remaining trees. The topology obtained, and the posterior probabilities of each node were displayed on Figtree V1.4.0 (). […]

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