2017
DOI: 10.1111/1462-2920.13986
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Metaproteomics reveals major microbial players and their metabolic activities during the blooming period of a marine dinoflagellateProrocentrum donghaiense

Abstract: Interactions between bacteria and phytoplankton during bloom events are essential for both partners, which impacts their physiology, alters ambient chemistry and shapes ecosystem diversity. Here, we investigated the community structure and metabolic activities of free-living bacterioplankton in different blooming phases of a dinoflagellate Prorocentrum donghaiense using a metaproteomic approach. The Fibrobacteres-Chlorobi-Bacteroidetes group, Rhodobacteraceae, SAR11 and SAR86 clades contributed largely to the … Show more

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Cited by 36 publications
(28 citation statements)
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“…Similarly, Rhodobacterales had a higher number of strong positive correlations with Thalassionema nitzschoides and Chaetoceros curvisetus than with Fragilariopsis kerguelensis. The rapid response of the above mentioned OTUs to phytoplankton blooms has been attributed to their uptake capacities of specific phytoplankton-derived substrates, using functional profiling based on metatranscriptomics (Rinta-Kanto et al, 2012;Teeling et al, 2012;Beier et al, 2015) and metaproteomics (Li et al, 2018). We expected the composition of total and active prokaryotes to be different, but the spatial distribution and the co-occurrence patterns revealed to be highly similar between these communities.…”
Section: Discussionmentioning
confidence: 97%
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“…Similarly, Rhodobacterales had a higher number of strong positive correlations with Thalassionema nitzschoides and Chaetoceros curvisetus than with Fragilariopsis kerguelensis. The rapid response of the above mentioned OTUs to phytoplankton blooms has been attributed to their uptake capacities of specific phytoplankton-derived substrates, using functional profiling based on metatranscriptomics (Rinta-Kanto et al, 2012;Teeling et al, 2012;Beier et al, 2015) and metaproteomics (Li et al, 2018). We expected the composition of total and active prokaryotes to be different, but the spatial distribution and the co-occurrence patterns revealed to be highly similar between these communities.…”
Section: Discussionmentioning
confidence: 97%
“…Noticeably strong correlations were also found for deltaproteobacterial SAR324 OTUs. The rapid response of the above mentioned OTUs to phytoplankton blooms has been attributed to their uptake capacities of specific phytoplankton-derived substrates, using functional profiling based on metatranscriptomics (Rinta-Kanto et al, 2012;Teeling et al, 2012;Beier et al, 2015) and metaproteomics (Li et al, 2018). In contrast, Thalassionema nitzschoides and Chaetoceros curvisetus had strong correlations with OTUs that were previously identified as rapid responders to phytoplankton blooms, as for example the flavobacterial OTUs Polaribacter, Ulvibacter and OTUs from the NS7 group (Buchan et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
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“…Temperature, salinity, and turbidity were measured using CTD (SBE 17plus V2, Sea-Bird Scientific, United States) at each sampling event. Concentrations of dissolved inorganic nitrogen (DIN) (ammonium, nitrate, and nitrite), silicate and phosphate were determined using continuous flow analyzer, all measurements were performed on triplicate samples San ++ (SKALAR, Breda, Holland) (Li et al, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…Dissolved organic matter (DOM) released by crustacean zooplankton and phytoplankton can generate shifts in the prokaryotic community composition on a time scale of a few hours to days (Valdés et al 2017; Choi et al 2018). Members of SAR11 and Rhodobacteraceae are often present in high abundances during bloom events (Alonso and Pernthaler 2006; Choi et al 2018), utilizing taurine and other low‐molecular weight organic compounds (Li et al 2018). Toward the decline of a bloom, however, other prokaryotic groups dominate the community, such as Bacteroidetes, degrading high‐molecular weight organic compounds (Alonso and Pernthaler 2006; Choi et al 2018).…”
mentioning
confidence: 99%