160 whole genomes sequences obtained from 160 individual fish samples representing about 100 different species present in Gulf of Lion, and bay of Biscay.

The eleven collected wild strains of T. lutea were compared phenotypically, in particular with regard to their pigment and lipid profiles. The genome of each T. lutea strain was also sequenced to investigate the genetic structure and genome organisation of this species. Collected data were summarized in a genome browser to provide easy-to-use support for the scientific community (https://genomes-catalog.ifremer.fr). This provides an important resource- to understand, exploit and predict the biodiversity of this species.

This study aims to compare different metabarcoding sequences of commercially fished shrimps collected by tree counties on the North Brazil Shelf Large Marine Ecosystem

Metabolome of of the marine diatom Haslea ostrearia. Bacteria were isolated from Haslea ostrearia isolates cultivated in ES 1/3 medium in laboratory conditions over a 3-month period. These microalgal isolates were recovered from four sites on the French Atlantic coast: Bouin , La Barre-de-Monts (46.90 N; 2.11°W), Isle de Ré (46.22 N; 1.45°W), and La Tremblade (45.80 N; 1.15°W) . Data processing and statistical analysis of the metabolic profiles were performed on an LC/MS Metabolomics Discovery Workflow using Mass Profiler Professional Software and an Agilent 1290 Infinity II LC system coupled to an Agilent 6540 UHD Accurate-Mass QTOF hybrid mass spectrometer (Agilent Technologies, Waldbronn, Germany) equipped with a dual electrospray ionization (ESI) source. The full history (tools, parameters, input and output data files) is publicly available on http://dx.doi.org/10.12770/046e1e6a-864e-48a6-944b-d8613d67de0f

Dart Seq data gathered on Blue Shark in the framework of the PSTBS-IO project supported by funding from FAO, CSIRO Oceans and Atmosphere, AZTI Tecnalia, Institut de recherche pour le développement (IRD), and Research Institute for Tuna Fisheries (RITF) and financial assistance of the European Union (GCP/INT/233/EC – Population structure of IOTC species in the Indian Ocean), and POPSIZE project supported by FEAMP (2014-2020 UE N°508/2014), and Institut français de recherche pour l'Exploitation de la mer (Ifremer).

Planning units layers used for ATLAS EU prioritization scenarios on the North Atlantic (18°N to 76°N and 36°E to 98°W). This raster layer is designed on a grid of 25km * 25km resolution, that served to extract all the spatial data used prioritization. The 31 518 planning units (cells with value) corresponded to areas containing depths shallower or equal to 3500m, even if they could also contain deeper areas locally. For connectivity scenarios, only the planning units matching with the extent of available connectivity data were selected. One layer allocates planning units to the 13 geographical provinces (values ranging from 1 to 13) created for the purpose of prioritization. This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.

Metabarcoding data were produced based on samples gathered at Ifremer where the DNA was extracted; PCR libraries were built at Ifremer and Genseq; libraries were sequenced at Novogene. The data to download contain: 1/d emultiplexed raw data, 2/ metadata, and 3) Scripts to process data and taxonomically assign DNA sequences 4) Rmarkdown to analyze communities.

Successive infections with Vibrio harveyi were conducted in two populations of the European abalone in order to examine which genes may be involved in improved survival to the disease in the St. Malo population.

2bRAD genotyping will be used to estimate genetic diversity and connectivity among populations of Sabellaria alveolata. We will relate population genetic parameters with reef state characteristics.

Individuals from 5 populations were kept in common garden conditions in order to examine acclimation and adaptation to temperature in the honeycomb worm. Worms were exposed to 5 temperature treatments, and collected for RNAseq analysis. Gene expression patterns were then examined.