Evidence map›Paper›PMID 37886666›Full record

ArticleFrontiers in cellular and infection microbiology2023

Development of a high-throughput platform to measure plasmid transfer frequency.

Kepa Arbé-Carton, Ana Rey-Sogo, Nagore Santos-Fernández, Oihane Altube, Carlos Garbisu, Lide Arana, Itziar Alkorta

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

7 authors.

Kepa Arbé-CartonDepartment of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
Ana Rey-SogoDepartment of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
Nagore Santos-FernándezDepartment of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
Oihane AltubeDepartment of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Bilbao, Spain.
Carlos GarbisuDepartment of Conservation of Natural Resources, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), Derio, Spain.
Lide AranaDepartment of Applied Chemistry, University of the Basque Country (UPV/EHU), Donostia, Spain.
Itziar AlkortaDepartment of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), Bilbao, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance represents one of the greatest threats to global health. The spread of antibiotic resistance genes among bacteria occurs mostly through horizontal gene transfer via conjugation mediated by plasmids. This process implies a direct contact between a donor and a recipient bacterium which acquires the antibiotic resistance genes encoded by the plasmid and, concomitantly, the capacity to transfer the acquired plasmid to a new recipient. Classical assays for the measurement of plasmid transfer frequency (i.e., conjugation frequency) are often characterized by a high variability and, hence, they require many biological and technical replicates to reduce such variability and the accompanying uncertainty. In addition, classical conjugation assays are commonly tedious and time-consuming because they typically involve counting colonies on a large number of plates for the quantification of donors, recipients, and transconjugants (i.e., the bacteria that have received the genetic material by conjugation). Due to the magnitude of the antibiotic resistance problem, it is critical to develop reliable and rapid methods for the quantification of plasmid transfer frequency that allow the simultaneous analysis of many samples. Here, we present the development of a high-throughput, reliable, quick, easy, and cost-effective method to simultaneously accomplish and measure multiple conjugation events in 96-well plates, in which the quantification of donors, recipients, and transconjugants is estimated from the time required to reach a specific threshold value (OD

Indexed as

Anti-Bacterial AgentsConjugation, GeneticDrug Resistance, MicrobialGene Transfer, HorizontalPlasmidsAnti-Bacterial Agentsantibiotic resistancebacterial conjugationconjugation frequencyconjugation inhibitorsEscherichia colihigh-throughput screening platformhorizontal gene transfer

Identifiers

PMID37886666
PMCPMC10598849

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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.