Evidence map›Paper›PMID 40381217›Full record

ArticleThe ISME journal2025

Spatially structured bacterial interactions alter algal carbon flow to bacteria.

Hyungseok Kim, Vanessa L Brisson, John R Casey, Courtney Swink, Kristina A Rolison, Nathan McCall, Amber N Golini, Trent R Northen, Dušan Veličković, Peter K Weber and 3 more

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

13 authors.

Hyungseok KimDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Vanessa L BrissonPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
John R CaseyPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
Courtney SwinkPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
Kristina A RolisonPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
Nathan McCallPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
Amber N GoliniEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
Trent R NorthenEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
Dušan VeličkovićThe Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, United States.
Peter K WeberPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
Cullen R BuieDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
Xavier MayaliPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
Rhona K StuartPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytoplankton account for nearly half of global photosynthetic carbon fixation, and the fate of that carbon is regulated in large part by microbial food web processing. We currently lack a mechanistic understanding of how interactions among heterotrophic bacteria impact the fate of photosynthetically fixed carbon. Here, we used a set of bacterial isolates capable of growing on exudates from the diatom Phaeodactylum tricornutum to investigate how bacteria-bacteria interactions affect the balance between exudate remineralization and incorporation into biomass. With exometabolomics and genome-scale metabolic modeling, we estimated the degree of resource competition between bacterial pairs. In a sequential spent media experiment, we found that pairwise interactions were more beneficial than predicted based on resource competition alone, and 30% exhibited facilitative interactions. To link this to carbon fate, we used single-cell isotope tracing in a custom cultivation system to compare the impact of different "primary" bacterial strains in close proximity to live P. tricornutum on a distal "secondary" strain. We found that a primary strain with a high degree of competition decreased secondary strain carbon drawdown by 51% at the single-cell level, providing a quantitative metric for the "cost" of competition on algal carbon fate. Additionally, a primary strain classified as facilitative based on sequential interactions increased total algal-derived carbon assimilation by 7.6 times, integrated over all members, compared to the competitive primary strain. Our findings suggest that the degree of interaction between bacteria along a spectrum from competitive to facilitative is directly linked to algal carbon drawdown.

Indexed as

BacteriaCarbonCarbon CycleDiatomsMicrobial InteractionsBiomassPhotosynthesisPhytoplanktonCarbongenome-scale metabolic modelmetabolomicsphotosynthetic carbon fateresource partitioningstable isotope probing

Identifiers

PMID40381217
PMCPMC12201945

What OpenQuestion holds

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Registered trials

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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.