Evidence map›Paper›PMID 34228548›Full record

ArticleAntimicrobial agents and chemotherapy2021

Expression Dysregulation as a Mediator of Fitness Costs in Antibiotic Resistance.

Andrej Trauner, Amir Banaei-Esfahani, Sebastian M Gygli, Philipp Warmer, Julia Feldmann, Mattia Zampieri, Sonia Borrell, Ben C Collins, Christian Beisel, Ruedi Aebersold and 1 more

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Extensive Endemic Transmission of Multidrug-ResistantOpen forum infectious diseases · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Evolution ofFrontiers in cellular and infection microbiology · 2022
    Review
  16. Dissecting the Fitness Costs of Complex Mutations.Molecular biology and evolution · 2021
    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

11 authors.

Andrej TraunerSwiss Tropical and Public Health Institutegrid.416786.a, Basel, Switzerland.
Amir Banaei-EsfahaniDepartment of Biology, Institute of Molecular and Systems Biology, ETH Zurich, Zurich, Switzerland.
Sebastian M GygliSwiss Tropical and Public Health Institutegrid.416786.a, Basel, Switzerland.
Philipp WarmerDepartment of Biology, Institute of Molecular and Systems Biology, ETH Zurich, Zurich, Switzerland.
Julia FeldmannSwiss Tropical and Public Health Institutegrid.416786.a, Basel, Switzerland.
Mattia ZampieriDepartment of Biology, Institute of Molecular and Systems Biology, ETH Zurich, Zurich, Switzerland.
Sonia BorrellSwiss Tropical and Public Health Institutegrid.416786.a, Basel, Switzerland.
Ben C CollinsDepartment of Biology, Institute of Molecular and Systems Biology, ETH Zurich, Zurich, Switzerland.
Christian BeiselGenomics Facility Basel, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Ruedi AebersoldDepartment of Biology, Institute of Molecular and Systems Biology, ETH Zurich, Zurich, Switzerland.
Sebastien GagneuxSwiss Tropical and Public Health Institutegrid.416786.a, Basel, Switzerland.

Funding

Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
NIAID NIH HHS U19 AI106761
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a threat to global health and the economy. Rifampicin-resistant Mycobacterium tuberculosis accounts for a third of the global AMR burden. Gaining the upper hand on AMR requires a deeper understanding of the physiology of resistance. AMR often results in a fitness cost in the absence of drug. Identifying the molecular mechanisms underpinning this cost could help strengthen future treatment regimens. Here, we used a collection of M. tuberculosis strains that provide an evolutionary and phylogenetic snapshot of rifampicin resistance and subjected them to genome-wide transcriptomic and proteomic profiling to identify key perturbations of normal physiology. We found that the clinically most common rifampicin resistance-conferring mutation, RpoB Ser450Leu, imparts considerable gene expression changes, many of which are mitigated by the compensatory mutation in RpoC Leu516Pro. However, our data also provide evidence for pervasive epistasis-the same resistance mutation imposed a different fitness cost and functionally distinct changes to gene expression in genetically unrelated clinical strains. Finally, we report a likely posttranscriptional modulation of gene expression that is shared in most of the tested strains carrying RpoB Ser450Leu, resulting in an increased abundance of proteins involved in central carbon metabolism. These changes contribute to a more general trend in which the disruption of the composition of the proteome correlates with the fitness cost of the RpoB Ser450Leu mutation in different strains.

Indexed as

DNA-Directed RNA PolymerasesMycobacterium tuberculosisBacterial ProteinsDrug Resistance, BacterialMicrobial Sensitivity TestsMutationPhylogenyProteomicsRifampinBacterial ProteinsDNA-Directed RNA PolymerasesRifampinantibiotic resistanceevolutionfitnessgene expressionmycobacteriaproteomicstranscriptiontuberculosis

Identifiers

PMID34228548
PMCPMC8370218

What OpenQuestion holds

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LicenceCC BY
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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.