Evidence map›Paper›PMID 40216843›Full record

ArticleNature communications2025

Mutualism breakdown underpins evolutionary rescue in an obligate cross-feeding bacterial consortium.

Ignacio J Melero-Jiménez, Yael Sorokin, Ami Merlin, Jiawei Li, Alejandro Couce, Jonathan Friedman

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Modeling the Synergetic Dynamics of B cells and TbioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. 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

6 authors.

Ignacio J Melero-JiménezInstitute of Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel. imelero@uma.es.ORCID http://orcid.org/0000-0003-1570-3828
Yael SorokinInstitute of Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel.
Ami MerlinInstitute of Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel.
Jiawei LiInstitute of Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel.
Alejandro Couce *Centro de Biotecnología y Genómica de Plantas (CBGP, UPM-INIA/CSIC), Universidad Politécnica de Madrid (UPM), 28223, Madrid, Spain. a.couce@upm.es.ORCID http://orcid.org/0000-0002-4153-6018
Jonathan Friedman *Institute of Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel. jonathan.friedman@mail.huji.ac.il.ORCID http://orcid.org/0000-0001-8476-8030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Populations facing lethal environmental change can escape extinction through rapid genetic adaptation, a process known as evolutionary rescue. Despite extensive study, evolutionary rescue is largely unexplored in mutualistic communities, where it is likely constrained by the less adaptable partner. Here, we explored empirically the likelihood, population dynamics, and genetic mechanisms underpinning evolutionary rescue in an obligate mutualism involving cross-feeding of amino acids between auxotrophic Escherichia coli strains. We found that over 80% of populations overcame a severe decline when exposed to two distinct types of abrupt, lethal stress. Of note, in all cases only one of the strains survived by metabolically bypassing the auxotrophy. Crucially, the mutualistic consortium exhibited greater sensitivity to both stressors than a prototrophic control strain, such that reversion to autonomy was sufficient to alleviate stress below lethal levels. This sensitivity was common across other stresses, suggesting it may be a general feature of amino acid-dependent obligate mutualisms. Our results reveal that evolutionary rescue may depend critically on the specific genetic and physiological details of the interacting partners, adding rich layers of complexity to the endeavor of predicting the fate of microbial communities facing intense environmental deterioration.

Indexed as

Biological EvolutionEscherichia coliMicrobial ConsortiaSymbiosisAdaptation, PhysiologicalAmino AcidsStress, PhysiologicalAmino Acids

Identifiers

PMID40216843
PMCPMC11992082

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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.