Evidence map›Paper›PMID 39661660›Full record

ArticlePLoS computational biology2024

Bacterial clustering amplifies the reshaping of eutrophic plumes around marine particles: A hybrid data-driven model.

George E Kapellos, Hermann J Eberl, Nicolas Kalogerakis, Patrick S Doyle, Christakis A Paraskeva

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Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

George E KapellosDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-8464-7893
Hermann J EberlDepartment of Mathematics and Statistics, University of Guelph, Ontario, Canada.
Nicolas KalogerakisSchool of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece.ORCID 0000-0001-7033-0302
Patrick S DoyleDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Christakis A ParaskevaDepartment of Chemical Engineering, University of Patras, Rion Achaia, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multifaceted interactions between marine bacteria and particulate matter exert a major control over the biogeochemical cycles in the oceans. At the microbial scale, free-living bacteria benefit from encountering and harnessing the plumes around nutrient-releasing particles, like phyto-plankton and organic aggregates. However, our understanding of the bacterial potential to reshape these eutrophic microhabitats remains poor, in part because of the traditional focus on fast-moving particles that generate ephemeral plumes with lifetime shorter than the uptake timescale. Here we develop a novel hybrid model to assess the impacts of nutrient uptake by clustered free-living bacteria on the nutrient field around slow-moving particles. We integrate a physics-based nutrient transport model with data-derived bacterial distributions at the single-particle level. We inferred the functional form of the bacterial distribution and extracted parameters from published datasets of in vitro and in silico microscale experiments. Based on available data, we find that exponential radial distribution functions properly represent bacterial microzones, but also capture the trend and variation for the exposure of bacteria to nutrients around sinking particles. Our computational analysis provides fundamental insight into the conditions under which free-living bacteria may significantly reshape plumes around marine aggregates in terms of the particle size and sinking velocity, the nutrient diffusivity, and the bacterial trophic lifestyle (oligotrophs < mesotrophs < copiotrophs). A high potential is predicted for chemotactic copiotrophs like Vibrio sp. that achieve fast uptake and strong clustering. This microscale phenomenon can be critical for the microbiome and nutrient cycling in marine ecosystems, especially during particulate blooms.

Indexed as

BacteriaEutrophicationSeawaterComputational BiologyComputer SimulationEcosystemModels, BiologicalNutrientsParticulate MatterNutrientsParticulate Matter

Identifiers

PMID39661660
PMCPMC11666058

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.