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A Core Genome Multilocus Sequence Typing Scheme for Proteus mirabilis.

Sheng Lin Chen¹, Yu Tong Kang², Yi He Liang³

¹School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China;State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.

Biomedical and Environmental Sciences : BES

|April 27, 2023

Summary

This summary is machine-generated.

A new core genome multilocus sequence typing (cgMLST) scheme helps identify high-risk Proteus mirabilis clonal groups (CGs). Specific CGs carry concerning antibiotic resistance and virulence genes, including those causing severe urinary tract infections.

Keywords:

CgMLST ChewBBACA Clonal evolution Genotyping Proteus mirabilis

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Area of Science:

Microbiology
Genomics
Bioinformatics

Background:

Proteus mirabilis is an opportunistic pathogen frequently associated with urinary tract infections.
Accurate molecular typing methods are crucial for tracking and controlling the spread of specific bacterial strains.

Purpose of the Study:

To develop and validate a core genome multilocus sequence typing (cgMLST) scheme for Proteus mirabilis.
To identify and characterize potential risk clonal groups (CGs) within P. mirabilis populations.

Main Methods:

Utilized whole-genome sequencing data from 72 complete and 635 unfinished P. mirabilis genomes.
Developed a cgMLST scheme targeting 1,842 genes using the chewBBACA bioinformatics pipeline.
Validated the scheme by analyzing 695 P. mirabilis strains.

Main Results:

Identified 205 P. mirabilis clonal groups (CGs) with distinct regional distribution patterns across 16 countries.
CG20 and CG3 exhibited significant numbers of shared and unique antibiotic resistance genes.
Nine virulence genes (papC-K) associated with P fimbriae, a cause of severe UTIs, were exclusively found in CG20.

Conclusions:

The developed cgMLST scheme provides high-resolution molecular typing for P. mirabilis.
Regional variations in CG distribution highlight the need for localized surveillance.
Specific CGs, particularly CG20, pose potential risks due to their genetic makeup and warrant further attention.