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Biology subjects

Brinkman, F.

Publications and source records attributed to Brinkman, F..

2 recordsLinked to original sources

Atypical BlaIR Two-Component System in Pseudomonas aeruginosa Regulates Virulence but not β-Lactam Resistance

With the rise of antimicrobial resistance, anti-virulence therapeutics are a viable alternative to circumvent resistance pressures. Hypothetical genes and proteins are an under-studied source of potential virulence factor targets. We performed bioinformatic analyses to identify conserved hypothetical genes enriched in pathogenic Pseudomonas aeruginosa but not in non-pathogenic strains. This analysis identified an atypical BlaIR system, which we named pvmSR, that regulated P. aeruginosa virulence in a Caenorhabditis elegans infection model. This is in contrast with the typical BlaIR system from Staphylococcus aureus, which regulates resistance to {beta}-lac-tam antibiotics. The{Delta} pvmSR mutant showed reduced virulence in a C. elegans slow-killing assay. To understand how PvmSR regulated virulence in vivo, we performed dual RNA-seq to analyze transcriptomic changes in both C. elegans and P. aeruginosa. We found that C. elegans responded to P. aeruginosa {Delta}pvmSR infection by decreasing expression of lysosome and phagocytosis pathways. In P. aeruginosa {Delta}pvmSR, we observed decreased gene expression of several known virulence factors including the hydrogen cyanide synthase, hcnC, and heparinase, hepP. Additionally, we observed dysregulation in genes important for quorum sensing and biofilm formation. Collectively, our findings indicated that PvmSR contributed to virulence regulation and may serve as a potential anti-virulence target.

microbiology↗

SNVPhyl: A Single Nucleotide Variant Phylogenomics pipeline for microbial genomic epidemiology

MotivationThe recent widespread application of whole-genome sequencing (WGS) for microbial disease investigations has spurred the development of new bioinformatics tools, including a notable proliferation of phylogenomics pipelines designed for infectious disease surveillance and outbreak investigation. Transitioning the use of WGS data out of the research lab and into the front lines of surveillance and outbreak response requires user-friendly, reproducible, and scalable pipelines that have been well validated.\n\nResultsSNVPhyl (Single Nucleotide Variant Phylogenomics) is a bioinformatics pipeline for identifying high-quality SNVs and constructing a whole genome phylogeny from a collection of WGS reads and a reference genome. Individual pipeline components are integrated into the Galaxy bioinformatics framework, enabling data analysis in a user-friendly, reproducible, and scalable environment. We show that SNVPhyl can detect SNVs with high sensitivity and specificity and identify and remove regions of high SNV density (indicative of recombination). SNVPhyl is able to correctly distinguish outbreak from non-outbreak isolates across a range of variant-calling settings, sequencing-coverage thresholds, or in the presence of contamination.\n\nAvailabilitySNVPhyl is available as a Galaxy workflow, Docker and virtual machine images, and a Unix-based command-line application. SNVPhyl is released under the Apache 2.0 license and available at http://snvphyl.readthedocs.io/ or at https://github.com/phac-nml/snvphyl-galaxy.

bioinformatics↗