ArticlePLoS computational biology2020
AlbaTraDIS: Comparative analysis of large datasets from parallel transposon mutagenesis experiments.
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.
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Who cites it
22 citing papers in PubMed, 31 citations in OpenAlex.
- Mapping the genomic landscape of antibiotic susceptiblity in Escherichia coli.npj antimicrobials and resistance · 2026Article
- Comparative analysis of gene importance inmSystems · 2026Article
- Common food preservatives induce an oxidative stress response inMicrobiology (Reading, England) · 2025Article
- Transposon-directed insertion-site sequencing (TraDIS) analysis ofMicrobiology spectrum · 2025Article
- Bacterial microcompartments and energy metabolism drive gut colonization by Bilophila wadsworthia.Nature communications · 2025Article
- Prior exposure strongly influences mechanisms underpinning survival of heat shock inFrontiers in microbiology · 2025Article
- Transposon mutagenesis screen ineLife · 2024Article
- Identification of pathways required forApplied and environmental microbiology · 2024Article
- Review
- Genome-wide analysis of genes involved in efflux function and regulation withinMicrobiology (Reading, England) · 2023Article
- Genome-Wide Analysis of Innate Susceptibility Mechanisms ofAntibiotics (Basel, Switzerland) · 2022Article
- Comparison of the genetic basis of biofilm formation betweenMicrobial genomics · 2022Article
- Regulatory cross-talk supports resistance to Zn intoxication in Streptococcus.PLoS pathogens · 2022Article
- The Copper Resistome of Group B Streptococcus Reveals Insight into the Genetic Basis of Cellular Survival during Metal Ion Stress.Journal of bacteriology · 2022Article
- Gradients in gene essentiality reshape antibacterial research.FEMS microbiology reviews · 2022Review
- A whole-genome assay identifies four principal gene functions that confer tolerance of meropenem stress uponFrontiers in antibiotics · 2022Article
- Probabilistic identification of bacterial essential genes via insertion density using TraDIS data with Tn5 libraries.Bioinformatics (Oxford, England) · 2021Article
- Loss of YhcB results in dysregulation of coordinated peptidoglycan, LPS and phospholipid synthesis during Escherichia coli cell growth.PLoS genetics · 2021Article
- Chemical biology-whole genome engineering datasets predict new antibacterial combinations.Microbial genomics · 2021Article
- A genome-wide analysis of Escherichia coli responses to fosfomycin using TraDIS-Xpress reveals novel roles for phosphonate degradation and phosphate transport systems.The Journal of antimicrobial chemotherapy · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
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.