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Coupling between taxonomic and functional diversity in protistan coastal communities ArchiMer
Ramond, Pierre; Sourisseau, Marc; Simon, Nathalie; Romac, Sarah; Schmitt, Sophie; Rigaut-jalabert, Fabienne; Henry, Nicolas; De Vargas, Colomban; Siano, Raffaele.
The study of protistan functional diversity is crucial to understand the dynamics of oceanic ecological processes. We combined the metabarcoding data of various coastal ecosystems and a newly developed trait‐based approach to study the link between taxonomic and functional diversity across marine protistan communities of different size‐classes. Environmental DNA was extracted and the V4 18S rDNA genomic region was amplified and sequenced. In parallel, we tried to annotate the Operational Taxonomic Units (OTUs) from our metabarcoding dataset to 30 biological traits using published and accessible information on protists. We then developed a method to study trait correlations across protists (i.e. trade‐offs) in order to build the best functional groups....
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00478/58964/61554.pdf
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Dynamics of particulate organic matter composition in coastal systems: forcing of spatio-temporal variability at multi-systems scale ArchiMer
Lienart, Camilla; Savoye, Nicolas; David, Valerie; Ramond, Pierre; Tress, Paco Rodriguez; Hanquiez, Vincent; Marieu, Vincent; Aubert, Fabien; Aubin, Sebastien; Bichon, Sabrina; Boinet, Christophe; Bourasseau, Line; Bozec, Yann; Breret, Martine; Breton, Elsa; Caparros, Jocelyne; Cariou, Thierry; Claquin, Pascal; Conan, Pascal; Corre, Anne-marie; Costes, Laurence; Crouvoisier, Muriel; Del Amo, Yolanda; Derriennic, Herve; Dindinaud, Francois; Duran, Robert; Durozier, Maia; Devesa, Jeremy; Ferreira, Sophie; Feunteun, Eric; Garcia, Nicole; Geslin, Sandrine; Grossteffan, Emilie; Gueux, Aurore; Guillaudeau, Julien; Guillou, Gael; Jolly, Orianne; Lachaussee, Nicolas; Lafont, Michel; Lagadec, Veronique; Lamoureux, Jezabel; Lauga, Beatrice; Lebreton, Benoit; Lecuyer, Eric; Lehodey, Jean-paul; Leroux, Cedric; L'Helguen, Stephane; Mace, Eric; Maria, Eric; Mousseau, Laure; Nowaczyk, Antoine; Pineau, Philippe; Petit, Franck; Pujo-pay, Mireille; Raimbault, Patrick; Rimmelin-maury, Peggy; Rouaud, Vanessa; Sauriau, Pierre-guy; Sultan, Emmanuelle; Susperregui, Nicolas.
In costal systems, particulate organic matter (POM) results from a multiplicity of sources having their respective dynamics in terms of production, decomposition, transport and burial. The POM pool experiences thus considerable spatial and temporal variability. In order to better understand this variability, the present study employs statistical multivariate analyses to investigate links between POM composition and environmental forcings for a panel of twelve coastal systems distributed along the three maritime regions of France and monitored weekly to monthly for 1 to 8 years. At multi-system scale, two main gradients of POC composition have been identified: a ‘Continent-Ocean’ gradient associated with hydrodynamics, sedimentary dynamics and depth of the...
Tipo: Text Palavras-chave: Particulate organic matter; Coastal systems; Environmental forcing; Meta-analysis; France.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00433/54471/55848.pdf
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Species specific gene expression dynamics during harmful algal blooms ArchiMer
Metegnier, Gabriel; Paulino, Sauvann; Ramond, Pierre; Siano, Raffaele; Sourisseau, Marc; Destombe, Christophe; Le Gac, Mickael.
Harmful algal blooms are caused by specific members of microbial communities. Understanding the dynamics of these events requires comparing the strategies developed by the problematic species to cope with environmental fluctuations to the ones developed by the other members of the community. During three consecutive years, the meta-transcriptome of micro-eukaryote communities was sequenced during blooms of the toxic dinoflagellate Alexandrium minutum. The dataset was analyzed to investigate species specific gene expression dynamics. Major shifts in gene expression were explained by the succession of different species within the community. Although expression patterns were strongly correlated with fluctuation of the abiotic environment, and more...
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Ano: 2020 URL: https://archimer.ifremer.fr/doc/00622/73390/72602.pdf
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