Dataset Information

A multilocus sequence typing scheme of Pseudomonas putida for clinical and environmental isolates.

ABSTRACT: Pseudomonas putida is a bacterium commonly found in soils, water and plants. Although P. putida group strains are considered to have low virulence, several nosocomial isolates with carbapenem- or multidrug-resistance have recently been reported. In the present study, we developed a multilocus sequence typing (MLST) scheme for P. putida. MLST loci and primers were selected and designed using the genomic information of 86 clinical isolates sequenced in this study as well as the sequences of 20 isolates previously reported. The genomes were categorised into 68 sequence types (STs). Significant linkage disequilibrium was detected for the 68 STs, indicating that the P. putida isolates are clonal. The MLST tree was similar to the haplotype network tree based on single nucleotide morphisms, demonstrating that our MLST scheme reflects the genetic diversity of P. putida group isolated from both clinical and environmental sites.

SUBMITTER: Ogura K

PROVIDER: S-EPMC6765009 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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A multilocus sequence typing scheme of Pseudomonas putida for clinical and environmental isolates.

Ogura Kohei K Shimada Kayo K Miyoshi-Akiyama Tohru T

Scientific reports 20190927 1

Pseudomonas putida is a bacterium commonly found in soils, water and plants. Although P. putida group strains are considered to have low virulence, several nosocomial isolates with carbapenem- or multidrug-resistance have recently been reported. In the present study, we developed a multilocus sequence typing (MLST) scheme for P. putida. MLST loci and primers were selected and designed using the genomic information of 86 clinical isolates sequenced in this study as well as the sequences of 20 iso ...[more]

PMID: 31562354

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Project description:Pseudomonas aeruginosa is a ubiquitous microorganism and an important opportunistic pathogen responsible for a broad spectrum of infections mainly in immunosuppressed and critically ill patients. Molecular investigations traditionally rely on pulsed field gel electrophoresis (PFGE) and multilocus sequence typing (MLST). In this work we propose a core genome multilocus sequence typing (cgMLST) scheme for P. aeruginosa, a methodology that combines traditional MLST principles with whole genome sequencing data. All publicly available complete P. aeruginosa genomes, representing the diversity of this species, were used to establish a cgMLST scheme targeting 2,653 genes. The scheme was then tested using genomes available at contig, chromosome and scaffold levels. The proposed cgMLST scheme for P. aeruginosa typed over 99% (2,314/2,325) of the genomes available for this study considering at least 95% of the cgMLST target genes present. The absence of a certain number gene targets at the threshold considered for both the creation and validation steps due to low genome sequence quality is possibly the main reason for this result. The cgMLST scheme was compared with previously published whole genome single nucleotide polymorphism analysis for the characterization of the population structure of the epidemic clone ST235 and results were highly similar. In order to evaluate the typing resolution of the proposed scheme, collections of isolates belonging to two important STs associated with cystic fibrosis, ST146 and ST274, were typed using this scheme, and ST235 isolates associated with an outbreak were evaluated. Besides confirming the relatedness of all the isolates, earlier determined by MLST, the higher resolution of cgMLST denotes that it may be suitable for surveillance programs, overcoming possible shortcomings of classical MLST. The proposed scheme is publicly available at: https://github.com/BioinformaticsHIAEMolecularMicrobiology/cgMLST-Pseudomonas-aeruginosa.

Dataset Information

A multilocus sequence typing scheme of Pseudomonas putida for clinical and environmental isolates.

Publications

A multilocus sequence typing scheme of Pseudomonas putida for clinical and environmental isolates.

Similar Datasets

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