Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/113985
Title: | Disentangling marine microbial networks across space | Authors: | Deutschmann, Ina Maria Delage, Erwan Giner, Caterina R. Sebastián Caumel, Marta Poulain, Julie Arístegui Ruiz, Javier Duarte, Carlos M. Acinas, Silvia G. Massana, Ramon Gasol, Josep M. Eveillard, Damien Chaffron, Samuel Logares, Ramiro |
UNESCO Clasification: | 251001 Oceanografía biológica | Issue Date: | 2021 | Project: | Expedición de circunnavegación MALASPINA 2010: Cambio global y exploración del océano global Zonas de Mezcla y Frentes en El Océano Oscuro Como ¿Hot-Spots? de Biodiversidad y Flujos Biogeoquímicos A Través Del Mar Mediterráneo y Atlántico Nordeste - I. CTM2015-69936-P MicroEcoSystems (240904, RCN, Norway) MINIME (PID2019-105775RB-I00, AEI, Spain) AtlantECO (award number 862923) RYC-2013-12554 Marie Skłodowska-Curie grant agreement no. 675752 |
Journal: | bioRxiv | Abstract: | Although 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. | URI: | http://hdl.handle.net/10553/113985 | ISSN: | 2692-8205 | DOI: | 10.1101/2021.07.12.451729 | Source: | bioRxiv [ISSN 2692-8205], 12 julio 2021 |
Appears in Collections: | Artículos |
Page view(s)
141
checked on Apr 13, 2024
Download(s)
18
checked on Apr 13, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.