AuthorsDeutschmann, Ina Maria
Giner, Caterina R
Duarte, Carlos M.
Acinas, Silvia G
Gasol, Josep M.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Marine Science Program
Red Sea Research Center (RSRC)
Permanent link to this recordhttp://hdl.handle.net/10754/670190
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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.
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
SponsorsWe 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).
PublisherCold Spring Harbor Laboratory