Please use this identifier to cite or link to this item:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invite to open peer review

Shared and contrasting associations in the dynamic nano- and picoplankton communities of two close but contrasting sites from the Bay of Biscay

AuthorsGarate, Leire CSIC ORCID; Alonso-Sáez, Laura; Revilla, Marta; Logares, Ramiro CSIC ORCID ; Lanzén, Anders
Issue DateDec-2022
PublisherSociety for Applied Microbiology
CitationEnvironmental Microbiology 24(12): 6052-6070 (2022)
AbstractPico- and nanoplankton are key players in the marine ecosystems due to their implication in the biogeochemical cycles, nutrient recycling and the pelagic food webs. However, the specific dynamics and niches of most bacterial, archaeal and eukaryotic plankton remain unknown, as well as the interactions between them. Better characterization of these is critical for understanding and predicting ecosystem functioning under anthropogenic pressures. We used environmental DNA metabarcoding across a 6-year time series to explore the structure and seasonality of pico- and nanoplankton communities in two sites of the Bay of Biscay, one coastal and one offshore, and construct association networks to reveal potential keystone and connector taxa. Temporal trends in alpha diversity were similar between the two sites, and concurrent communities more similar than within the same site at different times. However, we found differences between the network topologies of the two sites, with both shared and site-specific keystones and connectors. For example, Micromonas, with lower abundance in the offshore site is a keystone here, indicating a stronger effect of associations such as resource competition. This study provides an example of how time series and association network analysis can reveal how similar communities may function differently despite being geographically close
Description19 pages, 6 figures, 4 tables, supporting information Data Availability Statement: The data that support the findings of this study are openly available in GitHub at Raw sequences are available from the INSDC Sequence Read Archive with BioProject number PRJEB54766
Publisher version (URL)
Appears in Collections:(ICM) Artículos

Files in This Item:
File Description SizeFormat
Garate_et_al_2022.pdf3,7 MBAdobe PDFThumbnail
Garate_et_al_2022_suppl_1.pdf3,36 MBAdobe PDFThumbnail
Garate_et_al_2022_suppl_2.xlsx65,58 kBMicrosoft Excel XMLView/Open
Show full item record

CORE Recommender

Page view(s)

checked on May 21, 2024


checked on May 21, 2024

Google ScholarTM




This item is licensed under a Creative Commons License Creative Commons