Evidence map›Paper›PMID 41339710›Full record

ArticleCommunications biology2025

Microbial model communities exhibit widespread metabolic interdependencies.

Armando Pacheco-Valenciana, Anna Tausch, Iva Veseli, Jennah E Dharamshi, Fabian Bergland, Luis F Delgado, Alejandro Rodríguez-Gijón, Anders F Andersson, Sarahi L Garcia

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Armando Pacheco-ValencianaDepartment of Ecology, Environment, and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden. armando.pacheco@su.se.ORCID http://orcid.org/0009-0009-2801-0917
Anna TauschInstitute for Chemistry and Biology of the Marine Environment (ICBM), School of Mathematics and Science, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Iva VeseliHelmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Oldenburg, Germany.
Jennah E DharamshiDepartment of Ecology, Environment, and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4563-3939
Fabian BerglandDepartment of Ecology, Environment, and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.
Luis F DelgadoDepartment of Gene Technology, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden.
Alejandro Rodríguez-GijónDepartment of Ecology, Environment, and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.
Anders F AnderssonDepartment of Gene Technology, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3627-6899
Sarahi L GarciaDepartment of Ecology, Environment, and Plant Sciences, Science for Life Laboratory, Stockholm University, Stockholm, Sweden. sarahi.garcia@su.se.ORCID http://orcid.org/0000-0002-8622-0308

Funding

Science for Life Laboratory (SciLifeLab) grant 2022-03077Vetenskapsrådet (Swedish Research Council) grant 2018-05973Vetenskapsrådet (Swedish Research Council) grant 2022-03077Vetenskapsrådet (Swedish Research Council) grant 2022-06725
6 · The paper itself

Abstract

Microorganisms thrive in complex communities shaped by intricate interactions, yet the extent and ecological implications of biosynthetic dependencies in natural communities remain underexplored. Here, we used a dilution approach to cultivate 204 microbial model communities from the Baltic Sea and recovered 527 metagenome-assembled genomes (MAGs) that dereplicated into 72 species-clusters (>95% average nucleotide identity, ANI). Of these species, at least 70% represent previously uncultivated lineages. Combined with 1073 MAGs from Baltic Sea metagenomes, we generated a genomic catalog of 701 species-clusters. Our results show that cultures with more than three species included microorganisms with smaller genome sizes, lower biosynthetic potential for amino acids and B vitamins, and higher prevalence and abundance in the environment. Moreover, the taxa found together in the same model communities had complementary biosynthetic gene repertoires. Our results demonstrate that cultivating bacteria in dilution model communities facilitates access to previously uncultivated but abundant species that likely depend on metabolic partners for survival. Together, our findings highlight the value of community-based cultivation for unraveling ecological strategies. Finally, we confirm that metabolic interdependencies and genome streamlining are widespread features of successful environmental microorganisms.

Indexed as

BacteriaMetagenomeMicrobiotaGenome, BacterialPhylogenySeawater

Identifiers

PMID41339710
PMCPMC12680743

What Socratic 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 Socratic graph.