Evidence map›Paper›PMID 24285359›Full record

ArticleThe ISME journal2014

Fitness and stability of obligate cross-feeding interactions that emerge upon gene loss in bacteria.

Samay Pande, Holger Merker, Katrin Bohl, Michael Reichelt, Stefan Schuster, Luís F de Figueiredo, Christoph Kaleta, Christian Kost

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 1 pooled it
13.4field-weighted citation impact, top 1% of its field
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

157 citing papers in PubMed, 1 synthesis or guideline pooled it, 337 citations in OpenAlex.

  1. Pooled it
  2. Engineering an asymmetric cross-feeding consortium inSynthetic and systems biotechnology · 2026
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97 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 2 countries.

Samay PandeExperimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.
Holger MerkerExperimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.
Katrin Bohl1] Experimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany [2] Department of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany [3] Research Group Theoretical Systems Biology, Friedrich Schiller University Jena, Jena, Germany.
Michael ReicheltDepartment of Biochemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.
Stefan SchusterDepartment of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
Luís F de Figueiredo1] Department of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany [2] Cheminformatics and Metabolism-team, The EMBL-European Bioinformatics Institute (EBI), Welcome Trust Genome Campus, Cambridge, UK.
Christoph KaletaResearch Group Theoretical Systems Biology, Friedrich Schiller University Jena, Jena, Germany.
Christian Kost1] Experimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany [2] Institute of Microbiology, Friedrich Schiller University Jena, Jena, Germany.
Friedrich Schiller University Jena · DEMax Planck Institute for Chemical Ecology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-feeding interactions, in which bacterial cells exchange costly metabolites to the benefit of both interacting partners, are very common in the microbial world. However, it generally remains unclear what maintains this type of interaction in the presence of non-cooperating types. We investigate this problem using synthetic cross-feeding interactions: by simply deleting two metabolic genes from the genome of Escherichia coli, we generated genotypes that require amino acids to grow and release other amino acids into the environment. Surprisingly, in a vast majority of cases, cocultures of two cross-feeding strains showed an increased Darwinian fitness (that is, rate of growth) relative to prototrophic wild type cells--even in direct competition. This unexpected growth advantage was due to a division of metabolic labour: the fitness cost of overproducing amino acids was less than the benefit of not having to produce others when they were provided by their partner. Moreover, frequency-dependent selection maintained cross-feeding consortia and limited exploitation by non-cooperating competitors. Together, our synthetic study approach reveals ecological principles that can help explain the widespread occurrence of obligate metabolic cross-feeding interactions in nature.

Indexed as

Microbial InteractionsBacteriaEcologyEscherichia coliGenetic Fitness

Identifiers

PMID24285359
PMCPMC3996690
OpenAlexW2078779451

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.