Genetic Insights into Biofilm Formation by a Pathogenic Strain of Vibrio harveyi .
Amandine MorotFrançois DelavatAlexis BazireChristine PaillardAlain DufourSophie RodriguesPublished in: Microorganisms (2024)
The Vibrio genus includes bacteria widely distributed in aquatic habitats and the infections caused by these bacteria can affect a wide range of hosts. They are able to adhere to numerous surfaces, which can result in biofilm formation that helps maintain them in the environment. The involvement of the biofilm lifestyle in the virulence of Vibrio pathogens of aquatic organisms remains to be investigated. Vibrio harveyi ORM4 is a pathogen responsible for an outbreak in European abalone Haliotis tuberculata populations. In the present study, we used a dynamic biofilm culture technique coupled with laser scanning microscopy to characterize the biofilm formed by V. harveyi ORM4. We furthermore used RNA-seq analysis to examine the global changes in gene expression in biofilm cells compared to planktonic bacteria, and to identify biofilm- and virulence-related genes showing altered expression. A total of 1565 genes were differentially expressed, including genes associated with motility, polysaccharide synthesis, and quorum sensing. The up-regulation of 18 genes associated with the synthesis of the type III secretion system suggests that this virulence factor is induced in V. harveyi ORM4 biofilms, providing indirect evidence of a relationship between biofilm and virulence.
Keyphrases
- biofilm formation
- candida albicans
- pseudomonas aeruginosa
- staphylococcus aureus
- escherichia coli
- rna seq
- gene expression
- cystic fibrosis
- single cell
- type iii
- high resolution
- physical activity
- risk assessment
- genome wide
- poor prognosis
- metabolic syndrome
- dna methylation
- cardiovascular disease
- weight loss
- single molecule
- high throughput
- gram negative
- antimicrobial resistance
- mass spectrometry
- cell death
- high speed
- induced apoptosis
- signaling pathway
- multidrug resistant
- optical coherence tomography
- neural network