Evidence map›Paper›PMID 31083647›Full record

ArticlePLoS biology2019

Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis.

Joshua L Payne, Fabrizio Menardo, Andrej Trauner, Sonia Borrell, Sebastian M Gygli, Chloe Loiseau, Sebastien Gagneux, Alex R Hall

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Genomic landscape ofNew microbes and new infections · 2025
    Article
  6. Article
  7. Article
  8. Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Shifts in mutation spectra enhance access to beneficial mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  16. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  17. The roles of highly conserved, non-catalytic residues in class A β-lactamases.Protein science : a publication of the Protein Society · 2022
    Article
  18. Article
  19. Mutation bias shapes the spectrum of adaptive substitutions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. 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

8 authors.

Joshua L PayneInstitute of Integrative Biology, ETH Zurich, Switzerland.ORCID 0000-0002-2978-8423
Fabrizio MenardoSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0002-7885-4482
Andrej TraunerSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0002-6260-9829
Sonia BorrellSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0001-6661-6957
Sebastian M GygliSwiss Tropical and Public Health Institute, Basel, Switzerland.
Chloe LoiseauSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0003-4889-2784
Sebastien GagneuxSwiss Tropical and Public Health Institute, Basel, Switzerland.
Alex R HallInstitute of Integrative Biology, ETH Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transition bias, an overabundance of transitions relative to transversions, has been widely reported among studies of the rates and spectra of spontaneous mutations. However, demonstrating the role of transition bias in adaptive evolution remains challenging. In particular, it is unclear whether such biases direct the evolution of bacterial pathogens adapting to treatment. We addressed this challenge by analyzing adaptive antibiotic-resistance mutations in the major human pathogen Mycobacterium tuberculosis (MTB). We found strong evidence for transition bias in two independently curated data sets comprising 152 and 208 antibiotic-resistance mutations. This was true at the level of mutational paths (distinct adaptive DNA sequence changes) and events (individual instances of the adaptive DNA sequence changes) and across different genes and gene promoters conferring resistance to a diversity of antibiotics. It was also true for mutations that do not code for amino acid changes (in gene promoters and the 16S ribosomal RNA gene rrs) and for mutations that are synonymous to each other and are therefore likely to have similar fitness effects, suggesting that transition bias can be caused by a bias in mutation supply. These results point to a central role for transition bias in determining which mutations drive adaptive antibiotic resistance evolution in a key pathogen.

Indexed as

Evolution, MolecularAmino Acid SequenceBacterial ProteinsDrug Resistance, BacterialMutationMycobacterium tuberculosisNucleotidesPhylogenyBacterial ProteinsNucleotides

Identifiers

PMID31083647
PMCPMC6532934

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.