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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 40 Results
Gzip Archive - 1.1 MB - MD5: 1d4689415c6c66efd15ac30ad8866e16
CodeData
Scripts and input file to run and plot the tfa - factor analysis (Figures 1d and S7). To uncompress, type "tar xzvf 3.3.tfa.tar.gz"
Gzip Archive - 13.1 MB - MD5: 39d6bc3f6db277efe72dc0fb0dd72e8d
CodeData
Scripts and input files to run smartpca (subfolder 3.4.1.smartpca) and the single read PCA (subfolder 3.4.2.single_read) on the modern data including one individual downsampled to 0.03x (Figure S3). To uncompress, type "tar xzvf 3.4.PCA_downsampling_modern.tar.gz"
Gzip Archive - 12.8 KB - MD5: 068eb49f9c9aaeb60632c4cde49783ca
CodeData
Scripts and input files to run D-statistics (Figures S9 and S10). To uncompress, type "tar xzvf 4.1.D_statistics.tar.gz"
Gzip Archive - 21.9 MB - MD5: 823c1555aa862779e58967acee925a6c
CodeData
Scripts and input file to format the files and run qprbute from an haplo file (subfolder 4.2.1.pseudohaploid_withSP1060) or a vcf file (subfolder 4.2.2.genotypes_modern) (Figure 2 and S11). To uncompress, type "tar xzvf 4.2.qpbrute.tar.gz"
Gzip Archive - 7.8 MB - MD5: 19899db3c096b4cc9e222b9477f727ea
CodeData
Scripts and input files to run and plot heterozygosity (subfolder 5.1.heterozygosity), and genotype plots, NJ tree (including bootstrapping) and PCA (subfolder P5.2.CA_NJtree_genotype_plot) for the SNPs under parallel linked selection. There is aslo a subfolder within 5.2. to gen...
Gzip Archive - 299.5 KB - MD5: a870965b07accdc346cfbb09c65b1a7d
CodeData
Scripts and input files to generate the mitogenone analyses (Figure S1). R script and files to plot the samples (Figure 1a). To uncompress, type "tar xzvf 6.mitogenomes.tar.gz"
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"
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.