Evidence map›Paper›PMID 35913149›Full record

ArticleMicrobiology spectrum2022

Mutation in the Two-Component System Regulator YycH Leads to Daptomycin Tolerance in Methicillin-Resistant Staphylococcus aureus upon Evolution with a Population Bottleneck.

Jordy Evan Sulaiman, Long Wu, Henry Lam

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. 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
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Virulence · 2025
    Article
  3. Evolution under vancomycin selection drives divergent collateral sensitivity patterns inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Characterisation ofJAC-antimicrobial resistance · 2025
    Article
  6. Article
  7. Adaptive Laboratory Evolution ofAntibiotics (Basel, Switzerland) · 2023
    Article
  8. Molecular Basis of Non-β-Lactam Antibiotics Resistance inAntibiotics (Basel, Switzerland) · 2022
    Review
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

3 authors at 1 institution in 1 country.

Jordy Evan SulaimanDepartment of Chemical and Biological Engineering, The Hong Kong University of Science & Technology, Kowloon, Hong Kong.ORCID 0000-0002-0886-8707
Long WuDepartment of Chemical and Biological Engineering, The Hong Kong University of Science & Technology, Kowloon, Hong Kong.
Henry LamDepartment of Chemical and Biological Engineering, The Hong Kong University of Science & Technology, Kowloon, Hong Kong.ORCID 0000-0001-7928-0364
Hong Kong University of Science and Technology · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive laboratory evolution (ALE) is a useful tool to study the evolution of antibiotic tolerance in bacterial populations under diverse environmental conditions. The role of population bottlenecks in the evolution of tolerance has been investigated in Escherichia coli, but not in a more clinically relevant pathogen, methicillin-resistant Staphylococcus aureus (MRSA). In this study, we used ALE to evolve MRSA under repetitive daptomycin treatment and incorporated population bottlenecks following antibiotic exposure. We observed that the populations finally attained a tolerance mutation in the

Indexed as

DaptomycinMethicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsBacterial ProteinsHumansMicrobial Sensitivity TestsMutationAnti-Bacterial AgentsBacterial ProteinsDaptomycindaptomycinevolutionMRSApopulation bottlenecktolerancetwo-component systemWalKRYycHYycI

Identifiers

PMID35913149
PMCPMC9431245
OpenAlexW4289335841

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.