Mark Alexander Webber

This paper uses ICA to analyze TraDIS-Xpress data from E. coli, identifying functional modules of antimicrobial resistance genes across multiple stress conditions.

This study identifies genes critical for Pseudomonas aeruginosa biofilm survival under ciprofloxacin exposure, revealing key pathways and potential therapeutic targets.

This study identifies BatR as a regulator of biofilm formation and antibiotic tolerance in Pseudomonas aeruginosa, showing its interaction with SrkA and role in eDNA release and pyocyanin production.

This study analyzes the population genomics of Staphylococcus haemolyticus to understand its transition from commensal to pathogenic states.

This study identifies staphylopine as essential for Staphylococcus epidermidis survival in human synovial fluid using transposon mutagenesis and RNAseq.

This study identifies Pseudomonas isolates that inhibit Salmonella growth in vitro and in planta, showing environment-specific metabolic changes and multifactorial biocontrol mechanisms.

This study identifies Staphylococcus haemolyticus as a common gut colonizer in preterm infants and reveals its role as a reservoir of antibiotic resistance genes through genomic analysis.

The paper investigates how tazobactam affects multidrug resistance in E. coli and Klebsiella pneumoniae using transposon mutagenesis, finding it selects for efflux pumps and membrane permeability changes.

This study identifies distinct biofilm formation mechanisms in multiple Staphylococcus species, showing independent evolution of biofilm pathways through different protein domains.

This study uses a whole genome screen to identify genes involved in Salmonella biofilm formation on alfalfa and glass surfaces, revealing distinct mechanisms for each.

This study identifies PA3049, renamed BatR, as a key regulator of antibiotic tolerance in Pseudomonas aeruginosa biofilms, showing its role in stress response and antimicrobial resistance.

This study compares antibiotic resistance and virulence between Acinetobacter lwoffii and A. baumannii, finding A. lwoffii has fewer resistance genes, more DNA defense systems, and reduced ability to develop resistance.

This study shows how four food preservatives exert distinct selective pressures on Salmonella Typhimurium planktonic and biofilm populations, leading to mutations in stress response regulators and trade-offs between biofilm formation and growth.

This study identifies host susceptibility and resistance factors for Salmonella enterica infected by bacteriophages SPLA1a and SPLA5b, showing that their combination reduces phage resistance emergence.

This study shows Staphylococcus aureus and Enterococcus faecalis can evolve tolerance to biocides like chlorhexidine and octenidine, with FakA playing a key role in this adaptation.

This study characterizes neonatal Staphylococcus capitis NRCS-A isolates and compares them with non-NRCS-A isolates from neonates and adults, identifying genetic and phenotypic traits associated with their success in NICUs.

This study identifies the target pathway of a novel antimicrobial compound and discovers synergies with existing antibiotics using genome-wide screening in Gram-negative bacteria.

The paper describes an optimized DNA extraction method for skin swabs suitable for shotgun metagenomics, validated on adult and baby samples to characterize bacterial microbiota effectively.

LoRTIS-SS enables transposon insertion site mapping using long-read sequencing, improving accuracy in repeated genomic regions compared to short-read methods.

The paper identifies temporally essential genes for biofilm formation in E. coli using transposon mutagenesis and validates their roles at different stages of biofilm development.

The paper uses single-cell genomics to analyze bacterial population structures in antibiotic stress experiments, revealing sub-populations and resistance development not detectable with bulk sequencing.

AlbaTraDIS analyzes transposon mutagenesis data to identify genes involved in stress survival, demonstrating its utility in identifying Triclosan resistance genes in E. coli.

CoronaHiT is a method for high-throughput SARS-CoV-2 genome sequencing that improves coverage and throughput compared to existing protocols.