High-Throughput Short Sequence Typing Schemes for Pseudomonas aeruginosa and Stenotrophomonas maltophilia Pure Culture and Environmental DNA.
Thibault BourdinMarie-Ève BenoitEmilie BédardMichèle PrévostCaroline Quach ThanhÉric DézielPhilippe ConstantPublished in: Microorganisms (2023)
Molecular typing techniques are utilized to determine genetic similarities between bacterial isolates. However, the use of environmental DNA profiling to assess epidemiologic links between patients and their environment has not been fully explored. This work reports the development and validation of two high-throughput short sequence typing (HiSST) schemes targeting the opportunistic pathogens Pseudomonas aeruginosa and Stenotrophomonas maltophilia , along with a modified SM2I selective medium for the specific isolation of S. maltophilia . These HiSST schemes are based on four discriminative loci for each species and demonstrate high discriminating power, comparable to pairwise whole-genome comparisons. Each scheme includes species-specific PCR primers for precise differentiation from closely related taxa, without the need for upstream culture-dependent methods. For example, the primers targeting the bvgS locus make it possible to distinguish P. aeruginosa from the very closely related Pseudomonas paraeruginosa sp. nov. The selected loci included in the schemes are adapted to massive parallel amplicon sequencing technology. An R-based script implemented in the DADA2 pipeline was assembled to facilitate HiSST analyses for efficient and accurate genotyping of P. aeruginosa and S. maltophilia . We demonstrate the performance of both schemes through in silico validations, assessments against reference culture collections, and a case study involving environmental samples.
Keyphrases
- high throughput
- genetic diversity
- pseudomonas aeruginosa
- single cell
- genome wide
- end stage renal disease
- cystic fibrosis
- biofilm formation
- circulating tumor
- single molecule
- genome wide association study
- human health
- ejection fraction
- cell free
- chronic kidney disease
- cancer therapy
- newly diagnosed
- dna methylation
- gene expression
- peritoneal dialysis
- prognostic factors
- high resolution
- risk assessment
- amino acid
- escherichia coli
- copy number
- staphylococcus aureus
- drug resistant
- climate change
- genome wide association
- patient reported