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Molecular Characterization of Invasive Isolates of Neisseria meningitidis in Casablanca, Morocco.


ABSTRACT: Meningococcal epidemiology may change unpredictably, and typing of Neisseria meningitidis isolates is crucial for the surveillance of invasive meningococcal disease (IMD). Few data are available regarding the meningococcal epidemiology in countries of North Africa. We aimed to explore invasive meningococcal isolates from the Casablanca region in Morocco. We used whole-genome sequencing (WGS) to characterize 105 isolates from this region during the period of 2011 to 2016. Our data showed that the majority (n = 100) of the isolates belonged to serogroup B. Genotyping indicated that most of the isolates (n = 62) belonged to sequence type 33 of clonal complex 32. The isolates also showed the same PorA and FetA markers and clustered together on the basis of WGS phylogenetic analysis; they seemed to correspond to an expansion of local isolates in the Casablanca region, as reported for similar isolates in several other countries. These data suggest that serogroup B isolates may predominate in Morocco, which may have an important impact in the design of vaccination strategies.

SUBMITTER: Razki A 

PROVIDER: S-EPMC6018341 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Molecular Characterization of Invasive Isolates of Neisseria meningitidis in Casablanca, Morocco.

Razki Aziza A   Hong Eva E   Zerouali Khalid K   Belabbes Houria H   Aitmouss Khadija K   Terrade Aude A   Zaki Bahija B   Deghmane Ala-Eddine AE   Elmdaghri Naima N   Taha Muhamed-Kheir MK  

Journal of clinical microbiology 20180625 7


Meningococcal epidemiology may change unpredictably, and typing of <i>Neisseria meningitidis</i> isolates is crucial for the surveillance of invasive meningococcal disease (IMD). Few data are available regarding the meningococcal epidemiology in countries of North Africa. We aimed to explore invasive meningococcal isolates from the Casablanca region in Morocco. We used whole-genome sequencing (WGS) to characterize 105 isolates from this region during the period of 2011 to 2016. Our data showed t  ...[more]

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