Evidence map›Paper›PMID 32457248›Full record

ArticlemBio2020

Parallel Evolution of Tobramycin Resistance across Species and Environments.

Michelle R Scribner, Alfonso Santos-Lopez, Christopher W Marshall, Christopher Deitrick, Vaughn S Cooper

Open access · goldAbstract read
In one paragraph

Article in mBio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.1field-weighted citation impact, top 4% 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

63 citing papers in PubMed, 114 citations in OpenAlex.

  1. Article
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  6. Genetic diversification ofApplied and environmental microbiology · 2026
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  10. Colistin resistance dynamics inAntimicrobial agents and chemotherapy · 2025
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  16. Microbiology spectrum · 2025
    Article
  17. Article
  18. Anaerobiosis and Mutations Can Reduce Susceptibility ofPathogens (Basel, Switzerland) · 2025
    Article
  19. Article
  20. Article

3 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

5 authors at 1 institution in 1 country.

Michelle R ScribnerDepartment of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-4244-4200
Alfonso Santos-LopezDepartment of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-9163-9947
Christopher W MarshallDepartment of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-6669-3231
Christopher DeitrickDepartment of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Vaughn S CooperDepartment of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA vaughn.cooper@pitt.edu.ORCID 0000-0001-7726-0765
University of Pittsburgh · US

Funding

Predicting the emergence of antibiotic resistance through multi-omics approaches and Immune System-surveillanU01AI124302 · NIAID · BOSTON COLLEGE · PI BENTO, JOSE, COOPER, VAUGHN · 2016 to 2020
$10.2M
Viral Persistence and PathogenesisT32AI049820 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DELUCA, NEAL A. · 2001 to 2024
$5.5M
NIAID NIH HHS T32 AI049820NIAID NIH HHS U01 AI124302
6 · The paper itself

Abstract

Different species exposed to a common stress may adapt by mutations in shared pathways or in unique systems, depending on how past environments have molded their genomes. Understanding how diverse bacterial pathogens evolve in response to an antimicrobial treatment is a pressing example of this problem, where discovery of molecular parallelism could lead to clinically useful predictions. Evolution experiments with pathogens in environments containing antibiotics, combined with periodic whole-population genome sequencing, can be used to identify many contending routes to antimicrobial resistance. We separately propagated two clinically relevant Gram-negative pathogens,

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsBiofilmsDirected Molecular EvolutionDrug Resistance, BacterialMicrobial Sensitivity TestsMutationPeptide Elongation Factor GPseudomonas aeruginosaTobramycinWhole Genome SequencingAnti-Bacterial AgentsPeptide Elongation Factor GTobramycinAcinetobacteraminoglycosidedrug resistance evolutionpopulation geneticsPseudomonas aeruginosa

Identifiers

PMID32457248
PMCPMC7251211
OpenAlexW3031526086

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.