Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters

Trophic interactions between marine phytoplankton and heterotrophic bacteria are at the base of the biogeochemical carbon cycling in the ocean. However, the specific interactions taking place between phytoplankton and bacterial taxa remain largely unexplored, particularly out of phytoplankton bloomi...

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Autores: Arandia-Gorostidi, Néstor, Krabberød, A.K., Logares, Ramiro, Deutschmann, Ina Maria, Scharek, Renate, Morán, Xosé Anxelu G., González-de-los-Reyes-Gavilán, Luis Felipe, Alonso-Sáez, Laura
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/318714
Acceso en línea:http://hdl.handle.net/10261/318714
Access Level:acceso abierto
Palabra clave:Centro Oceanográfico de Gijón
Medio Marino
phytoplankton
shape
interactions
dynamics
microbiology
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spelling Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean watersArandia-Gorostidi, NéstorKrabberød, A.K.Logares, RamiroDeutschmann, Ina MariaScharek, RenateMorán, Xosé Anxelu G.González-de-los-Reyes-Gavilán, Luis FelipeAlonso-Sáez, LauraCentro Oceanográfico de GijónMedio MarinophytoplanktonshapeinteractionsdynamicsmicrobiologyTrophic interactions between marine phytoplankton and heterotrophic bacteria are at the base of the biogeochemical carbon cycling in the ocean. However, the specific interactions taking place between phytoplankton and bacterial taxa remain largely unexplored, particularly out of phytoplankton blooming events. Here, we applied network analysis to a 3.5-year time-series dataset to assess the specific associations between different phytoplankton and bacterial taxa along the seasonal scale, distinguishing between free-living and particle-attached bacteria. Using a newly developed network post-analysis technique we removed bacteria-phytoplankton correlations that were primarily driven by environmental parameters, to detect potential biotic interactions. Our results indicate that phytoplankton dynamics may be a strong driver of the inter-annual variability in bacterial community composition. We found the highest abundance of specific bacteria-phytoplankton associations in the particle-attached fraction, indicating a tighter bacteria-phytoplankton association than in the free-living fraction. In the particle-associated fraction we unveiled novel potential associations such as the one between Planctomycetes taxa and the diatom Leptocylindrus spp. Consistent correlations were also found between free-living bacterial taxa and different diatoms, including novel associations such as those between SAR11 with Naviculales diatom order, and between Actinobacteria and Cylindrotheca spp. We also confirmed previously known associations between Rhodobacteraceae and Thalassiosira spp. Our results expand our view on bacteria-phytoplankton associations, suggesting that taxa-specific interactions may largely impact the seasonal dynamics of heterotrophic bacterial communities.SI202320232022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/318714reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésCentro Oceanográfico de Gijóninfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3187142026-05-22T06:33:51Z
dc.title.none.fl_str_mv Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
title Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
spellingShingle Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
Arandia-Gorostidi, Néstor
Centro Oceanográfico de Gijón
Medio Marino
phytoplankton
shape
interactions
dynamics
microbiology
title_short Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
title_full Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
title_fullStr Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
title_full_unstemmed Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
title_sort Novel interactions between phytoplankton and bacteria shape microbial seasonal dynamics in coastal ocean waters
dc.creator.none.fl_str_mv Arandia-Gorostidi, Néstor
Krabberød, A.K.
Logares, Ramiro
Deutschmann, Ina Maria
Scharek, Renate
Morán, Xosé Anxelu G.
González-de-los-Reyes-Gavilán, Luis Felipe
Alonso-Sáez, Laura
author Arandia-Gorostidi, Néstor
author_facet Arandia-Gorostidi, Néstor
Krabberød, A.K.
Logares, Ramiro
Deutschmann, Ina Maria
Scharek, Renate
Morán, Xosé Anxelu G.
González-de-los-Reyes-Gavilán, Luis Felipe
Alonso-Sáez, Laura
author_role author
author2 Krabberød, A.K.
Logares, Ramiro
Deutschmann, Ina Maria
Scharek, Renate
Morán, Xosé Anxelu G.
González-de-los-Reyes-Gavilán, Luis Felipe
Alonso-Sáez, Laura
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Centro Oceanográfico de Gijón
Medio Marino
phytoplankton
shape
interactions
dynamics
microbiology
topic Centro Oceanográfico de Gijón
Medio Marino
phytoplankton
shape
interactions
dynamics
microbiology
description Trophic interactions between marine phytoplankton and heterotrophic bacteria are at the base of the biogeochemical carbon cycling in the ocean. However, the specific interactions taking place between phytoplankton and bacterial taxa remain largely unexplored, particularly out of phytoplankton blooming events. Here, we applied network analysis to a 3.5-year time-series dataset to assess the specific associations between different phytoplankton and bacterial taxa along the seasonal scale, distinguishing between free-living and particle-attached bacteria. Using a newly developed network post-analysis technique we removed bacteria-phytoplankton correlations that were primarily driven by environmental parameters, to detect potential biotic interactions. Our results indicate that phytoplankton dynamics may be a strong driver of the inter-annual variability in bacterial community composition. We found the highest abundance of specific bacteria-phytoplankton associations in the particle-attached fraction, indicating a tighter bacteria-phytoplankton association than in the free-living fraction. In the particle-associated fraction we unveiled novel potential associations such as the one between Planctomycetes taxa and the diatom Leptocylindrus spp. Consistent correlations were also found between free-living bacterial taxa and different diatoms, including novel associations such as those between SAR11 with Naviculales diatom order, and between Actinobacteria and Cylindrotheca spp. We also confirmed previously known associations between Rhodobacteraceae and Thalassiosira spp. Our results expand our view on bacteria-phytoplankton associations, suggesting that taxa-specific interactions may largely impact the seasonal dynamics of heterotrophic bacterial communities.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/318714
url http://hdl.handle.net/10261/318714
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Centro Oceanográfico de Gijón
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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