Evidence map›Paper›PMID 33597171›Full record

ArticlemSphere2021

Genomic Background Governs Opposing Responses to Nalidixic Acid upon Megaplasmid Acquisition in

David A Baltrus, Caitlin Smith, MacKenzie Derrick, Courtney Leligdon, Zoe Rosenthal, Madison Mollico, Andrew Moore, Meara Clark

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Experimental evolution of the megaplasmid pMPPla107 inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 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 1 institution in 1 country.

David A BaltrusSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA baltrus@email.arizona.edu.ORCID 0000-0002-5166-9551
Caitlin SmithSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA.
MacKenzie DerrickSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA.
Courtney LeligdonSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA.
Zoe RosenthalSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA.
Madison MollicoSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA.
Andrew MooreSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA.
Meara ClarkSchool of Plant Sciences, University of Arizona, Tucson, Arizona, USA.
University of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gene transfer is a significant driver of evolutionary dynamics across microbial populations. Although the benefits of the acquisition of new genetic material are often quite clear, experiments across systems have demonstrated that gene transfer events can cause significant phenotypic changes and entail fitness costs in a way that is dependent on the genomic and environmental context. Here, we test for the generality of one previously identified cost, sensitization of cells to the antibiotic nalidixic acid after acquisition of an ∼1-Mb megaplasmid, across

Indexed as

Genome, BacterialAnti-Bacterial AgentsCiprofloxacinGene Transfer TechniquesNalidixic AcidPlasmidsPseudomonas putidaAnti-Bacterial AgentsCiprofloxacinNalidixic Acidantibiotic resistancedrug resistance evolutionhorizontal gene transfermegaplasmidsquinolones

Identifiers

PMID33597171
PMCPMC8544880
OpenAlexW3129778623

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.