Evidence map›Paper›PMID 27814362›Full record

ArticlePLoS genetics2016

Experimental Evolution of Metabolic Dependency in Bacteria.

Glen D'Souza, Christian Kost

Abstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Article
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  12. Genomic insights into Streptomyces albidoflavus SM254: tracing the putative signs of anti-Pseudogymnoascus destructans properties.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  13. Review
  14. Article
  15. Mutualism between degraders and nondegraders stabilizes the function of a natural biopolymer-degrading community.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Bacterial Amino Acid Auxotrophies Enable Energetically Costlier Proteomes.International journal of molecular sciences · 2025
    Article
  18. Article
  19. Article
  20. Genomic Pipeline for Analysis of Mutational Events in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2025
    Article

13 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

2 authors.

Glen D'SouzaExperimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.
Christian KostExperimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria frequently lose biosynthetic genes, thus making them dependent on an environmental uptake of the corresponding metabolite. Despite the ubiquity of this 'genome streamlining', it is generally unclear whether the concomitant loss of biosynthetic functions is favored by natural selection or rather caused by random genetic drift. Here we demonstrate experimentally that a loss of metabolic functions is strongly selected for when the corresponding metabolites can be derived from the environment. Serially propagating replicate populations of the bacterium Escherichia coli in amino acid-containing environments revealed that auxotrophic genotypes rapidly evolved in less than 2,000 generations in almost all replicate populations. Moreover, auxotrophs also evolved in environments lacking amino acids-yet to a much lesser extent. Loss of these biosynthetic functions was due to mutations in both structural and regulatory genes. In competition experiments performed in the presence of amino acids, auxotrophic mutants gained a significant fitness advantage over the evolutionary ancestor, suggesting their emergence was selectively favored. Interestingly, auxotrophic mutants derived amino acids not only via an environmental uptake, but also by cross-feeding from coexisting strains. Our results show that adaptive fitness benefits can favor biosynthetic loss-of-function mutants and drive the establishment of intricate metabolic interactions within microbial communities.

Indexed as

Directed Molecular EvolutionEnvironmentEscherichia coliGene-Environment InteractionGenetic DriftGenetic FitnessGenome, BacterialGenotypeMetabolic Networks and PathwaysMetabolomicsSelection, Genetic

Identifiers

PMID27814362
PMCPMC5096674

What OpenQuestion holds

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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.