The Porpoises genetics and genomics dataverse gathers together data and scripts from the porpoise ecological and evolutionary genetics & genomics project. This project aims at advancing our knowledge regarding the ecology and evolution of the seven species of porpoises (Phocoenidae) with a specific anchor on the harbour porpoise (Phocoena phocoena).

Molecular population genetics & genomics, phylogenomics, and habitat modelling are used to study the molecular ecology, phylogeography, and evolution of the populations, ecotypes, and species in order to gain knowledge on their historical demography that led to the current pattern of genetic structure, and how they will potentially evolved with the forecasted climate changes. Ultimately these genetic inferences on population structure, connectivity and demographic histories will be used to design tailored conservation and management strategies in order to design management units, identify evolutionary significant units and best preserve the evolutionary potentials of each species.

Data collected in this project includes genetic data such as microsatellite and SNPs genotypes, DNA sequences from the mitochondrial genome (fragments or complete), and whole genome resequencing data. Empirical data are collected from stranded and by-caught porpoises. Simulated genetic data are also used as part of the project for in silico data analyses.

Contact Michael C. FONTAINE (PI, UMR MIVEGEC: U. Montpellier, CNRS, IRD, Montpellier - FR) and GELIFES, U. Groningen, NL) for further information.
This project benefited from funding of the University of Groningen.
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21 to 30 of 45 Results
Plain Text - 45.4 KB - MD5: 7bb222a264abcc01418451e30dfaf646
CodeDocumentation
Scripts, tools, and data to reproduce all the analyses in the manuscript
Plain Text - 42.3 KB - MD5: 9a5937cb6042ca80fad874efed927c35
CodeDocumentation
Pipeline (in shell) to map and filter the ancient DNA data
Plain Text - 29.3 KB - MD5: 55ba283fcdd3d70e06bbfcd0c109b3e4
CodeDocumentation
Pipeline (in shell) to map and filter the contemporary DNA data, including the three new samples, and the outgroups (killer whale and Indo-Pacific bottlenose dolphin)
Gzip Archive - 299.5 KB - MD5: 92824da49b11ec507505443c62440966
CodeData
R script and files to plot the samples (Figure 1a). To uncompress, type "tar xzvf map.tar.gz"
Plain Text - 3.2 KB - MD5: 7d092982e6c3423f1f2d6efdfa6941a3
Documentation
README file detailing the content of each file and folder
Gzip Archive - 704.4 MB - MD5: 4461877afe51bc505f570808593aa7c0
Data
Variant calling format (VCF) file including the biallelic single nucleotide variants (SNVs or SNPs) used in Louis et al. The sample names are in the vcf file header. See the materials and methods and supplementary material of the manuscript for details on data generation.
Gzip Archive - 85.1 MB - MD5: 8fe3f103955bdd7dd145c316dc008fe6
Data
Genotype likelihood LD pruned input file in Beagle format. Note that Sample order (Ind0 to Ind55) is given in the file Tursiops_samples_no7Tt182.bamlist. Sample 7Tt182 is not included in the beagle file due to its low coverage but clusters with the other NWAp. See materials and...
Gzip Archive - 108.0 MB - MD5: e7909efb3649e2ac35f3cb17268be917
Data
haplo file (pseudo-haploid random call): samples order is given in Tursiops_samples_ALL.bamlist. Note that 7Tt182 is included, but was not included in the analyses, which are based on subset of individuals (one coastal individual and all allopatric pelagic individuals except from...
Gzip Archive - 8.8 KB - MD5: d5234dbb967ad08679ed0eb346e3308e
Code
GhostAncestry-master contains the codes written by Benoit Simon-Bouhet to generate the input files for the ghost ancestry analyses - also available at https://github.com/besibo/GhostAncestry ## The folder 1_One Scaffold contains the code to test the script on one scaffold only #...
Unknown - 351 B - MD5: 8b7e2ce3192a5f460626c00d41c18f65
Data
Names of the samples and their order. See materials and methods and supplementary material for details on data generation
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