Evidence map›Paper›PMID 39174531›Full record

ArticleNature communications2024

Enhanced metabolic entanglement emerges during the evolution of an interkingdom microbial community.

Giovanni Scarinci, Jan-Luca Ariens, Georgia Angelidou, Sebastian Schmidt, Timo Glatter, Nicole Paczia, Victor Sourjik

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Giovanni ScarinciMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID 0000-0001-9094-5195
Jan-Luca AriensMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Georgia AngelidouMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID 0000-0002-1238-0122
Sebastian SchmidtMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Timo GlatterMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID 0000-0001-8716-8516
Nicole PacziaMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID 0000-0003-3859-8186
Victor SourjikMax Planck Institute for Terrestrial Microbiology, Marburg, Germany. victor.sourjik@mpi-marburg.mpg.de.ORCID 0000-0003-1053-9192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While different stages of mutualism can be observed in natural communities, the dynamics and mechanisms underlying the gradual erosion of independence of the initially autonomous organisms are not yet fully understood. In this study, by conducting the laboratory evolution on an engineered microbial community, we reproduce and molecularly track the stepwise progression towards enhanced partner entanglement. We observe that the evolution of the community both strengthens the existing metabolic interactions and leads to the emergence of de novo interdependence between partners for nitrogen metabolism, which is a common feature of natural symbiotic interactions. Selection for enhanced metabolic entanglement during the community evolution repeatedly occurred indirectly, via pleiotropies and trade-offs within cellular regulatory networks, and with no evidence of group selection. The indirect positive selection of metabolic dependencies between microbial community members, which results from the direct selection of other coupled traits in the same regulatory network, may therefore be a common but underappreciated driving force guiding the evolution of natural mutualistic communities.

Indexed as

Biological EvolutionMicrobiotaSymbiosisBacteriaMetabolic Networks and PathwaysMicrobial InteractionsNitrogenSelection, GeneticNitrogen

Identifiers

PMID39174531
PMCPMC11341674

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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.