Evidence map›Paper›PMID 32678849›Full record

ArticlePLoS computational biology2020

AlbaTraDIS: Comparative analysis of large datasets from parallel transposon mutagenesis experiments.

Andrew J Page, Sarah Bastkowski, Muhammad Yasir, A Keith Turner, Thanh Le Viet, George M Savva, Mark A Webber, Ian G Charles

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

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  11. Genome-Wide Analysis of Innate Susceptibility Mechanisms ofAntibiotics (Basel, Switzerland) · 2022
    Article
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  15. Review
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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

8 authors at 2 institutions in 1 country.

Andrew J PageQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.ORCID 0000-0001-6919-6062
Sarah BastkowskiQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.ORCID 0000-0001-9002-1822
Muhammad YasirQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.ORCID 0000-0001-9437-2996
A Keith TurnerQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.ORCID 0000-0002-3680-6343
Thanh Le VietQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.ORCID 0000-0002-2106-8130
George M SavvaQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.ORCID 0000-0001-9190-124X
Mark A WebberQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.
Ian G CharlesQuadram Institute Bioscience, Norwich Research Park, Colney Lane, Norwich, United Kingdom.ORCID 0000-0002-2423-1167
Norwich Research Park · GBUniversity of East Anglia · GB

Funding

Biotechnology and Biological Sciences Research Council BB/CCG1860/1Biotechnology and Biological Sciences Research Council BB/R012504/1Biotechnology and Biological Sciences Research Council BBS/E/F/000PR10349
6 · The paper itself

Abstract

Bacteria need to survive in a wide range of environments. Currently, there is an incomplete understanding of the genetic basis for mechanisms underpinning survival in stressful conditions, such as the presence of anti-microbials. Transposon directed insertion-site sequencing (TraDIS) is a powerful tool to identify genes and networks which are involved in survival and fitness under a given condition by simultaneously assaying the fitness of millions of mutants, thereby relating genotype to phenotype and contributing to an understanding of bacterial cell biology. A recent refinement of this approach allows the roles of essential genes in conditional stress survival to be inferred by altering their expression. These advancements combined with the rapidly falling costs of sequencing now allows comparisons between multiple experiments to identify commonalities in stress responses to different conditions. This capacity however poses a new challenge for analysis of multiple data sets in conjunction. To address this analysis need, we have developed 'AlbaTraDIS'; a software application for rapid large-scale comparative analysis of TraDIS experiments that predicts the impact of transposon insertions on nearby genes. AlbaTraDIS can identify genes which are up or down regulated, or inactivated, between multiple conditions, producing a filtered list of genes for further experimental validation as well as several accompanying data visualisations. We demonstrate the utility of our new approach by applying it to identify genes used by Escherichia coli to survive in a wide range of different concentrations of the biocide Triclosan. AlbaTraDIS identified all well characterised Triclosan resistance genes, including the primary target, fabI. A number of new loci were also implicated in Triclosan resistance and the predicted phenotypes for a selection of these were validated experimentally with results being consistent with predictions. AlbaTraDIS provides a simple and rapid method to analyse multiple transposon mutagenesis data sets allowing this technology to be used at large scale. To our knowledge this is the only tool currently available that can perform these tasks. AlbaTraDIS is written in Python 3 and is available under the open source licence GNU GPL 3 from https://github.com/quadram-institute-bioscience/albatradis.

Indexed as

Computational BiologyDNA Transposable ElementsMutagenesis, InsertionalSoftwareAlgorithmsAnti-Infective AgentsDrug Resistance, BacterialEscherichia coliGene LibraryGenes, EssentialGenome, BacterialGenotypeHigh-Throughput Nucleotide SequencingMutationPhenotypeProtein BiosynthesisAnti-Infective AgentsDNA Transposable ElementsTriclosan

Identifiers

PMID32678849
PMCPMC7390408
OpenAlexW3043085355

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.