Molecular characterization of measles virus strains circulating in Cameroon during the 2013-2016 epidemics
Autoři:
Franck-Martin Obam Mekanda aff001; Chavely Gwladys Monamele aff001; Frédy Brice Simo Nemg aff001; Gilde Martial Yonga aff001; Diane Ouapi aff001; Véronique Penlap Beng aff002; Christophe Batéjat aff003; Valérie Caro aff003; Jean-Claude Manuguerra aff003; Maurice Demanou aff001
Působiště autorů:
WHO National Measles Reference Laboratory, Department of Virology, Centre Pasteur of Cameroon (CPC), Yaoundé, Centre, Cameroon
aff001; Faculty of Science, University of Yaoundé 1, Yaoundé, Centre, Cameroon
aff002; Cellule d’Intervention Biologique d’Urgence (CIBU), Unité de Recherche et d’Expertise ‘Environnement et Risques Infectieux’ (ERI), Institut Pasteur, Paris, France
aff003
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0222428
Souhrn
The first genotyping data on measles virus (MeV) strains in Cameroon dates from 1994, while other studies were realized in 2001 and 2011 with the establishment of MeV virological surveillance. However, the genetic data of MeV strains circulating in Cameroon remains fragmented and concentrated in certain regions, hence the need for an update. The objective of this study was to have recent data on MeV genotypes circulating in Cameroon. Ninety throat swabs collected during recent measles outbreaks were analyzed by MeV genotyping RT-PCR using the nucleoprotein gene N. The resulting sequences were analyzed on the basis of 450 nucleotides with MEGA 7 software. Overall genome analysis was performed on 40/90 sequences. The strains were from all ten regions and all belonged to cluster 1 of genotype B3. The genotype B3 has been circulating in Cameroon for long periods of time; efforts must be made in immunization for its elimination.
Klíčová slova:
Genotyping – Phylogenetic analysis – Reverse transcriptase-polymerase chain reaction – RNA extraction – Vaccines – Measles virus – Cameroon – Measles
Zdroje
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Článek vyšel v časopise
PLOS One
2019 Číslo 9
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