Characterisation of Neisseria meningitidis cc11/ET-15 variant by whole genome sequencing.

BACKGROUND: Neisseria meningitidis strains belonging to clonal complex 11 is the cause of numerous outbreaks and epidemics in the United States, Canada and Europe, accounting for 49.5% of cases of meningococcal disease caused by serogroup C worldwide. In Brazil, it is the second most frequent clonal complex within this serogroup. The genetic characterisation of cc11/ET-15 variants is important for the epidemiological monitoring of meningococcal disease, through the identification of circulating epidemic clones, to support specific actions of Health Surveillance aiming outbreaks control. OBJECTIVES: The objective of this study was to identify features in the genome of cc11/ET-15 clones through whole-genome sequencing (WGS), that differ from cc11/non-ET-15 strains that could explain their virulence. METHODS: The whole genome of three cc11/ET-15 representative strains were sequenced with a minimum coverage of 100X with the MiSeq System and compared to the genome of cc11/non-ET-15 strains. RESULTS: Genome analysis of cc11/ET-15 variants showed the presence of resistance factors, mobile genetic elements and virulence factors not found in cc11/non-ET-15 strains. MAIN CONCLUSIONS: Our results show that these strains carry virulence factors not identified in cc11/non-ET-15 strains, which could explain the high lethality rates attributed to this clone worldwide.

Characterisation of Neisseria meningitidis cc11/ET-15 variant by whole genome sequencing

BACKGROUND Neisseria meningitidis strains belonging to clonal complex 11 is the cause of numerous outbreaks and epidemics in the United States, Canada and Europe, accounting for 49.5% of cases of meningococcal disease caused by serogroup C worldwide. In Brazil, it is the second most frequent clonal complex within this serogroup. The genetic characterisation of cc11/ET-15 variants is important for the epidemiological monitoring of meningococcal disease, through the identification of circulating epidemic clones, to support specific actions of Health Surveillance aiming outbreaks control. OBJECTIVES The objective of this study was to identify features in the genome of cc11/ET-15 clones through whole-genome sequencing (WGS), that differ from cc11/non-ET-15 strains that could explain their virulence. METHODS The whole genome of three cc11/ET-15 representative strains were sequenced with a minimum coverage of 100X with the MiSeq System and compared to the genome of cc11/non-ET-15 strains. RESULTS Genome analysis of cc11/ET-15 variants showed the presence of resistance factors, mobile genetic elements and virulence factors not found in cc11/non-ET-15 strains. MAIN CONCLUSIONS Our results show that these strains carry virulence factors not identified in cc11/non-ET-15 strains, which could explain the high lethality rates attributed to this clone worldwide.

Multilocus enzyme electrophoresis analysis of rapidly-growing mycobacteria: an alternative tool for identification and typing.

OBJECTIVES: Rapidly growing mycobacteria (RGM) have emerged as important pathogens in clinical settings, associated with esthetic procedures and postsurgical infections, pulmonary infections among cystic fibrosis patients, and other structural pulmonary diseases. Microorganisms belonging to Mycobacterium abscessus-Mycobacterium chelonae and to Mycobacterium fortuitum groups have frequently been associated with outbreaks and various epidemics. In the present study, RGM strains were characterized in order to investigate molecular markers based on proteomic analysis. METHODS: Multilocus enzyme electrophoresis (MLEE) was used for species identification and clonal analysis of RGM recovered from postsurgical wound infections during an epidemic. The study included 30M. abscessus subsp. bolletii clinical isolates, most belonging to the BRA100 clone (epidemic in Rio de Janeiro city), as well as 16 RGM ATCC reference strains. RESULTS: Molecular typing allowed the detection of diversity in the studied population and revealed species-specific isoenzymatic patterns. Additionally, the clonal relationship among M. abscessus subsp. bolletii outbreak isolates, as examined using MLEE, was markedly consistent. CONCLUSIONS: Isoenzymatic characterization was found to be a useful molecular tool to identify RGM species and to determine the relatedness among closely related M. abscessus subsp. bolletii isolates. This may be considered a powerful approach for epidemiological studies on RGM.