Evidence map›Paper›PMID 27531908›Full record

ArticlemBio2016

Multidrug Intrinsic Resistance Factors in Staphylococcus aureus Identified by Profiling Fitness within High-Diversity Transposon Libraries.

Mithila Rajagopal, Melissa J Martin, Marina Santiago, Wonsik Lee, Veronica N Kos, Tim Meredith, Michael S Gilmore, Suzanne Walker

Open access · goldAbstract read
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. The BaeS/BaeR two-component system enhancesFrontiers in cellular and infection microbiology · 2026
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  5. The Secondary Resistome of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2025
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  6. mSphere · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. MarR-Dependent Transcriptional Regulation ofAntimicrobial agents and chemotherapy · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Rapid Inhibitor Discovery by Exploiting Synthetic Lethality.Journal of the American Chemical Society · 2022
    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 at 2 institutions in 1 country.

Mithila RajagopalDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, USA.
Melissa J MartinDepartment of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
Marina SantiagoDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA.
Wonsik LeeDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA.
Veronica N KosDepartment of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA.
Tim MeredithDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA.
Michael S GilmoreDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA Michael_Gilmore@meei.harvard.edu Suzanne_Walker@hms.harvard.edu.
Suzanne WalkerDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA Michael_Gilmore@meei.harvard.edu Suzanne_Walker@hms.harvard.edu.
Harvard University · USMassachusetts Eye and Ear Infirmary · US

Funding

Technical Mother Machine CoreP01AI083214 · NIAID · SCHEPENS EYE RESEARCH INSTITUTE · PI Michael S Gilmore · 2009 to 2026
$39.4M
Targeting bacterial cell wall biogenesis for the development of novel antimicrobU19AI109764 · NIAID · HARVARD MEDICAL SCHOOL · PI KASPER, DENNIS L. · 2014 to 2018
$25.2M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
NIAID NIH HHS P01 AI083214NIAID NIH HHS T32 AI007061NIAID NIH HHS U19 AI109764
6 · The paper itself

Abstract

unlabelledStaphylococcus aureus is a leading cause of life-threatening infections worldwide. The MIC of an antibiotic against S. aureus, as well as other microbes, is determined by the affinity of the antibiotic for its target in addition to a complex interplay of many other cellular factors. Identifying nontarget factors impacting resistance to multiple antibiotics could inform the design of new compounds and lead to more-effective antimicrobial strategies. We examined large collections of transposon insertion mutants in S. aureus using transposon sequencing (Tn-Seq) to detect transposon mutants with reduced fitness in the presence of six clinically important antibiotics-ciprofloxacin, daptomycin, gentamicin, linezolid, oxacillin, and vancomycin. This approach allowed us to assess the relative fitness of many mutants simultaneously within these libraries. We identified pathways/genes previously known to be involved in resistance to individual antibiotics, including graRS and vraFG (graRS/vraFG), mprF, and fmtA, validating the approach, and found several to be important across multiple classes of antibiotics. We also identified two new, previously uncharacterized genes, SAOUHSC_01025 and SAOUHSC_01050, encoding polytopic membrane proteins, as important in limiting the effectiveness of multiple antibiotics. Machine learning identified similarities in the fitness profiles of graXRS/vraFG, SAOUHSC_01025, and SAOUHSC_01050 mutants upon antibiotic treatment, connecting these genes of unknown function to modulation of crucial cell envelope properties. Therapeutic strategies that combine a known antibiotic with a compound that targets these or other intrinsic resistance factors may be of value for enhancing the activity of existing antibiotics for treating otherwise-resistant S. aureus strains. IMPORTANCE: Bacterial resistance to every major class of antibiotics has emerged, and we are entering a "post-antibiotic era" where relatively minor infections can lead to serious complications or even death. The utility of an antibiotic for a specific pathogen is limited by both intrinsic and acquired factors. Identifying the repertoire of intrinsic resistance factors of an antibiotic for Staphylococcus aureus, a leading cause of community- and hospital-acquired infections, would inform the design of new drugs as well as the identification of compounds that enhance the activity of existing drugs. To identify factors that limit the activity of antibiotics against S. aureus, we used Tn-Seq to simultaneously assess fitness of transposon mutants in every nonessential gene in the presence of six clinically important antibiotics. This work provides an efficient approach for identifying promising targets for drugs that can enhance susceptibility or restore sensitivity to existing antibiotics.

Indexed as

Gene Knockout TechniquesGenes, BacterialMutagenesis, InsertionalAnti-Bacterial AgentsDNA Transposable ElementsGene LibraryMicrobial Sensitivity TestsStaphylococcus aureusAnti-Bacterial AgentsDNA Transposable Elements

Identifiers

PMID27531908
PMCPMC4992970
OpenAlexW2516407276

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.