Evidence map›Paper›PMID 40318220›Full record

ArticleThe ISME journal2025

Fungi shape genome evolution of bacteria even in the absence of major growth phenotypes.

Emily E Putnam, Robert May, Nina Freeman, Dillon Arrigan, Andrew Boylan, Laura H Childs, Benjamin E Wolfe

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 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. Review
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

7 authors.

Emily E PutnamDepartment of Biology, Tufts University, Medford, MA 20155, United States.ORCID 0000-0002-3428-094X
Robert MayDepartment of Biology, Tufts University, Medford, MA 20155, United States.
Nina FreemanDepartment of Biology, Tufts University, Medford, MA 20155, United States.
Dillon ArriganDepartment of Biology, Tufts University, Medford, MA 20155, United States.
Andrew BoylanDepartment of Biology, Tufts University, Medford, MA 20155, United States.
Laura H ChildsDepartment of Biology, Tufts University, Medford, MA 20155, United States.
Benjamin E WolfeDepartment of Biology, Tufts University, Medford, MA 20155, United States.ORCID 0000-0002-0194-9336

Funding

United States National Science Foundation CAREER IOS/BIO 1942063
6 · The paper itself

Abstract

Studies of microbial interactions often emphasize large, easily measurable growth differences and short-term ecological outcomes spanning just a few generations. However, more subtle interactions, such as those without obvious phenotypes, may play a significant role in shaping both the short-term ecological dynamics and the long-term evolutionary trajectories of microbial species. We used the cheese rind model microbiome to examine how two fungal species, Penicillium camemberti and Geotrichum candidum, impact global gene expression and genome evolution of the bacterium Pseudomonas carnis. Even though fungi had limited impacts on the growth of P. carnis, ~4-40% of its genome was differentially expressed, depending on the specific fungal partner. When we evolved this Pseudomonas strain alone or in co-culture with each of the fungi, we observed frequent mutations in global regulators of nitrogen regulation, secondary metabolite production, and motility, depending on the fungus. Strikingly, many strains with mutations in the nitrogen regulatory gene ntrB emerged when evolved alone or with G. candidum, but not with P. camemberti. Metabolomic and fitness experiments demonstrate that release of free amino acids by P. camemberti removes the fitness advantages conferred by ntrB mutations. Collectively, these results demonstrate that even in the absence of major short-term growth effects, fungi can have substantial impacts on the transcriptome and genomic evolution of bacterial species.

Indexed as

Evolution, MolecularGenome, BacterialMicrobial InteractionsPenicilliumPseudomonasCheeseMutationPhenotypebacterial-fungal interactionscheese rindexperimental evolutiongenome evolutionGeotrichumntrBPenicilliumPseudomonasRNA-seq

Identifiers

PMID40318220
PMCPMC12411852

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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.