Bacterial clustering amplifies the reshaping of eutrophic plumes around marine particles: A hybrid data-driven model.
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| Auteurs principaux: | , , , , |
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| Format: | Artículo científico |
| Langue: | en |
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PLoS computational biology
2024
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| _version_ | 1868266270308171776 |
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| author | Kapellos, George E Eberl, Hermann J Kalogerakis, Nicolas Doyle, Patrick S Paraskeva, Christakis A |
| author_facet | Kapellos, George E Eberl, Hermann J Kalogerakis, Nicolas Doyle, Patrick S Paraskeva, Christakis A Kapellos, George E Eberl, Hermann J Kalogerakis, Nicolas Doyle, Patrick S Paraskeva, Christakis A |
| collection | PubMed - marine biology |
| contents | Bacterial clustering amplifies the reshaping of eutrophic plumes around marine particles: A hybrid data-driven model. Kapellos, George E Eberl, Hermann J Kalogerakis, Nicolas Doyle, Patrick S Paraskeva, Christakis A Eutrophication Bacteria Seawater Models, Biological Computational Biology Ecosystem Particulate Matter Computer Simulation Nutrients 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. |
| format | Artículo científico |
| id | pubmed_39661660 |
| institution | PubMed |
| language | en |
| publishDate | 2024 |
| publisher | PLoS computational biology |
| record_format | pubmed |
| spellingShingle | Bacterial clustering amplifies the reshaping of eutrophic plumes around marine particles: A hybrid data-driven model. Kapellos, George E Eberl, Hermann J Kalogerakis, Nicolas Doyle, Patrick S Paraskeva, Christakis A Eutrophication Bacteria Seawater Models, Biological Computational Biology Ecosystem Particulate Matter Computer Simulation Nutrients Bacterial clustering amplifies the reshaping of eutrophic plumes around marine particles: A hybrid data-driven model. Kapellos, George E Eberl, Hermann J Kalogerakis, Nicolas Doyle, Patrick S Paraskeva, Christakis A Eutrophication Bacteria Seawater Models, Biological Computational Biology Ecosystem Particulate Matter Computer Simulation Nutrients 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. |
| title | Bacterial clustering amplifies the reshaping of eutrophic plumes around marine particles: A hybrid data-driven model. |
| topic | Eutrophication Bacteria Seawater Models, Biological Computational Biology Ecosystem Particulate Matter Computer Simulation Nutrients |
| url | https://pubmed.ncbi.nlm.nih.gov/39661660/ |