/Biological Environment/Bioinformatics
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Vibrio bacteria sampled from juvenile oysters and seawater collected in Thau Lagoon (Languedoc-Roussillon, France) in October 2015 during a mortality event were genotyped using hsp60, rctB, topA and mreB protein-coding genes
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This study gathers multi-year environmental sequencing datasets generated within the French ROME pilot observatory network. It includes eDNA metabarcoding and RNA-based analyses from water samples, oyster tissues, and viral fractions collected across four French estuarine ecosystems between 2020 and 2023, supporting integrated monitoring of coastal microbiomes and microbial hazards.
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Raw reads for the assembly of Gambusia holbrooki genome.
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Genetic diversity is often considered a key factor in a species’ ability to adapt to environmental changes and our aim was to understand the biological, ecological, and biogeographic factors that explain differences in genetic diversity among marine fish. Therefore, whole genomes of 160 individual marine fish were sequenced to a minimum depth of 15×, enabling near-complete representation of each diploid genome.
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WGS for Iatlantic projet ( ) for assessing past and present connectivity
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WGS of SARS-CoV-2 by Oxford Nanopore Technology from raw wastewater samples collected in France, 2020-2021
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Develop parentage assignment panels using genetic fingerprinting of pearl oysters for use in commercial hatcheries and research to manage pedigrees in order to limit the risks of loss of genetic variability and increased inbreeding of commercial lines.
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16S rRNA amplicon metabarcoding from samples of the GHASS2 cruise (Romanian sector of the Black Sea, september 2021). Samples originate from marine sediment gravity coring samples as well as submarine samples from microbial mats and microbial reefs.
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This dataset consists of metatranscriptomic sequencing reads corresponding to coastal micro-eukaryote communities sampled in Western Europe in 2018 and 2019.
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This work aims at describing benthic bacterial, archaeal, and metazoan communities along a geographical gradient to assess the effects of a shrimp farm (releasing organic matter such as uneaten feed and faecal pellets) on these communities. The samples were collected in several benthic stations from 0 m to 200 m from the farm cages, as well as in another station located several kilometers from the study area. This study includes two datasets: one based on 16S rRNA gene sequencing, which characterizes the bacterial and archaeal communities, and the other based on 18S rRNA gene sequencing, which describes the metazoan communities.
Catalogue PIGMA