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dc.contributor.authorDeutschmann, Ina Maria
dc.contributor.authorDelage, Erwan
dc.contributor.authorGiner, Caterina R
dc.contributor.authorSebastián, Marta
dc.contributor.authorPoulain, Julie
dc.contributor.authorAristegui, Javier
dc.contributor.authorDuarte, Carlos M.
dc.contributor.authorAcinas, Silvia G
dc.contributor.authorMassana, Ramon
dc.contributor.authorGasol, Josep M.
dc.contributor.authorEveillard, Damien
dc.contributor.authorChaffron, Samuel
dc.contributor.authorLogares, Ramiro
dc.date.accessioned2021-07-14T06:14:49Z
dc.date.available2021-07-14T06:14:49Z
dc.date.issued2021-07-13
dc.identifier.citationDeutschmann, I. M., Delage, E., Giner, C. R., Sebastian, M., Poulain, J., Aristegui, J., … Logares, R. (2021). Disentangling marine microbial networks across space. doi:10.1101/2021.07.12.451729
dc.identifier.doi10.1101/2021.07.12.451729
dc.identifier.urihttp://hdl.handle.net/10754/670190
dc.description.abstractAlthough microbial interactions underpin ocean ecosystem functions, they remain barely known. Different studies have analyzed microbial interactions using static association networks based on omics-data. However, microbial associations are dynamic and can change across physicochemical gradients and spatial scales, which needs to be considered to understand the ocean ecosystem better. We explored associations between archaea, bacteria, and picoeukaryotes along the water column from the surface to the deep ocean across the northern subtropical to the southern temperate ocean and the Mediterranean Sea by defining sample-specific subnetworks. Quantifying spatial association recurrence, we found the lowest fraction of global associations in the bathypelagic zone, while associations endemic of certain regions increased with depth. Overall, our results highlight the need to study the dynamic nature of plankton networks and our approach represents a step forward towards a better comprehension of the biogeography of microbial interactions across ocean regions and depth layers.
dc.description.sponsorshipWe thank all members of the Malaspina and Hotmix expeditions with the multiple projects funding these collaborative efforts. Sampling was carried out thanks to the Consolider-Ingenio programme (project Malaspina 2010 Expedition, ref. CSD2008–00077) and HOTMIX project (CTM2011-30010/MAR), funded by the Spanish Ministry of Economy and Competitiveness Science and Innovation. Part of the analyses have been performed at the Marbits bioinformatics core at ICM-CSIC (https://marbits.icm.csic.es). This project and IMD received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 675752 (ESR2, http://www.singek.eu) to RL. RL was supported by a Ramón y Cajal fellowship (RYC-2013-12554, MINECO, Spain). This work was also supported by the projects INTERACTOMICS (CTM2015-69936-P, MINECO, Spain), MicroEcoSystems (240904, RCN, Norway) and MINIME (PID2019-105775RB-I00, AEI, Spain) to RL. SC was supported by the CNRS MITI through the interdisciplinary program Modélisation du Vivant (GOBITMAP grant). SC, DE and SGA were funded by the H2020 project AtlantECO (award number 862923).
dc.publisherCold Spring Harbor Laboratory
dc.relation.urlhttp://biorxiv.org/lookup/doi/10.1101/2021.07.12.451729
dc.relation.urlhttps://www.biorxiv.org/content/biorxiv/early/2021/07/12/2021.07.12.451729.full.pdf
dc.rightsArchived with thanks to Cold Spring Harbor Laboratory
dc.titleDisentangling marine microbial networks across space
dc.typePreprint
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.eprint.versionPre-print
dc.contributor.institutionInstitute of Marine Sciences, CSIC, Passeig Marítim de la Barceloneta, 37-49, 08003, Barcelona, Spain
dc.contributor.institutionUniversité de Nantes, CNRS UMR 6004, LS2N, F-44000, 2 rue de la Houssinière, 44322, Nantes, France
dc.contributor.institutionResearch Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022 / Tara Oceans GOSEE, 3 rue Michel Ange, 75016 Paris, France
dc.contributor.institutionGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
dc.contributor.institutionInstituto de Oceanografía y Cambio Global, IOCAG, Universidad de Las Palmas de Gran Canaria, ULPGC, Gran Canaria, Spain
dc.contributor.institutionCenter for Marine Ecosystems Research, School of Sciences, Edith Cowan University, Joondalup, WA Australia
kaust.personDuarte, Carlos M.
refterms.dateFOA2021-07-14T06:16:13Z


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