Evidence map›Paper›PMID 39382297›Full record

ArticlemBio2024

Emergent ecology in a microscale model of the surface ocean.

Falk Eigemann, Jutta Hoffmann, Charlotte Schampera, Shuting Liu, Luis M Bolaños, Mats Heemeyer, Craig A Carlson, Stephen Giovannoni, Ferdi L Hellweger

Abstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Falk EigemannWater Quality Engineering, Technical University of Berlin, Berlin, Germany.ORCID 0000-0002-4499-5682
Jutta HoffmannWater Quality Engineering, Technical University of Berlin, Berlin, Germany.
Charlotte SchamperaWater Quality Engineering, Technical University of Berlin, Berlin, Germany.
Shuting LiuMarine Science Institute/Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, California, USA.
Luis M BolañosSchool of Biosciences, University of Exeter, Exeter, United Kingdom.
Mats HeemeyerWater Quality Engineering, Technical University of Berlin, Berlin, Germany.
Craig A CarlsonMarine Science Institute/Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, California, USA.
Stephen GiovannoniDepartment of Microbiology, Oregon State University, Corvallis, Oregon, USA.ORCID 0000-0002-2431-4296
Ferdi L HellwegerWater Quality Engineering, Technical University of Berlin, Berlin, Germany.ORCID 0000-0001-8705-0147

Funding

North-German Supercomputing AllianceSimons Foundation (SF) BIOS-SCOPE
6 · The paper itself

Abstract

Microbial processes operate at the microscale, which is not resolved by existing ecosystem models. Here, we present a novel model that simulates a 1 mL three-dimensional cube using a hybrid Lagrangian-Eulerian approach, at ecologically relevant timescales. The model simulates individual microbes, including three phytoplankton size classes with healthy, senescent, and dead lifecycle stages; copiotrophic and oligotrophic heterotrophic bacteria; and dissolved organic matter at 50 µm resolution. Diffusion, shear, sedimentation, chemotaxis, and attachment processes are explicitly resolved. The emerging quantitative representation of the ecosystem shows that (1) copiotrophs grow mostly attached to eukaryotic phytoplankters and get almost all of their carbon from them vs. oligotrophs that grow on exudates and lysates of cyanobacteria; (2) contrasting diel patterns in substrate appearance in the phycosphere vs. ambient water and growth of particle-associated copiotrophs vs. free-living oligotrophs; (3) attached bacteria reduce carbon flux from the phycosphere, lowering chemotactic efficiency toward eukaryotes below that toward cyanobacteria; (4) shear reduces chemotactic efficiency and fitness of the copiotroph; and (5) the main benefit of chemotaxis is to locate attachment partners. These patterns are consistent with available observations. Our study provides insights into the microscale ecology of marine bacteria, and the open-source code is a tool for further research in this area.IMPORTANCEA large amount of global CO

Indexed as

EcosystemOceans and SeasPhytoplanktonSeawaterBacteriaBacterial Physiological PhenomenaCarbonChemotaxisCyanobacteriaEcologyModels, BiologicalCarbonagent-based modelattachmentbiogeochemical modelchemotaxisfitnessmicrobial ecology

Identifiers

PMID39382297
PMCPMC11559031

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.