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Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay
Pico‐ 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 interactio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087561/ https://www.ncbi.nlm.nih.gov/pubmed/36054533 http://dx.doi.org/10.1111/1462-2920.16153 |
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author | Garate, Leire Alonso‐Sáez, Laura Revilla, Marta Logares, Ramiro Lanzén, Anders |
author_facet | Garate, Leire Alonso‐Sáez, Laura Revilla, Marta Logares, Ramiro Lanzén, Anders |
author_sort | Garate, Leire |
collection | PubMed |
description | Pico‐ 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. |
format | Online Article Text |
id | pubmed-10087561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100875612023-04-12 Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay Garate, Leire Alonso‐Sáez, Laura Revilla, Marta Logares, Ramiro Lanzén, Anders Environ Microbiol Research Articles Pico‐ 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. John Wiley & Sons, Inc. 2022-08-24 2022-12 /pmc/articles/PMC10087561/ /pubmed/36054533 http://dx.doi.org/10.1111/1462-2920.16153 Text en © 2022 The Authors. Environmental Microbiology published by Society for Applied Microbiology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Garate, Leire Alonso‐Sáez, Laura Revilla, Marta Logares, Ramiro Lanzén, Anders Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay |
title | Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay |
title_full | Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay |
title_fullStr | Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay |
title_full_unstemmed | Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay |
title_short | Shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the Bay of Biscay |
title_sort | shared and contrasting associations in the dynamic nano‐ and picoplankton communities of two close but contrasting sites from the bay of biscay |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087561/ https://www.ncbi.nlm.nih.gov/pubmed/36054533 http://dx.doi.org/10.1111/1462-2920.16153 |
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