Literature DB >> 26347574

Role of Sequencing the Measles Virus Hemagglutinin Gene and Hypervariable Region in the Measles Outbreak Investigations in Sweden During 2013-2014.

Heli Harvala1, Åsa Wiman2, Anders Wallensten2, Katherina Zakikhany2, Hélène Englund2, Maria Brytting2.   

Abstract

INTRODUCTION: It is increasingly difficult to differentiate measles viruses (MeVs) relating to certain outbreaks on the basis of the nucleoprotein (N) gene sequence only, as the diversity of circulating MeV strains has decreased. We studied genomic regions that could provide better molecular discrimination between epidemiologically linked and unlinked MeV variants identified in Sweden during 2013-2014.
METHODS: The hemagglutinin (H) gene and hypervariable region between the fusion and matrix genes (MF-HVR) from 53 MeV-positive samples were amplified and sequenced. Data on phylogenetic clustering of MeVs on the basis of N, H, and MF-HVR sequences were compared to epidemiological data.
RESULTS: MeVs were genotyped: 27 were B3, and 26 were D8. One genotype B3 cluster based on the N gene sequence contained epidemiologically unrelated viruses from 4 outbreaks, whereas analysis of H and MF-HVR sequences separated them into phylogenetic clusters consistent with the epidemiological data. Similarly, the single cluster of viruses with a genotype D8 N gene could be divided into the 5 outbreak groups on the basis of the phylogeny of MF-HVR sequences.
CONCLUSIONS: A detailed picture of MeV circulation with more-defined links between outbreaks was obtained by sequencing the H gene and MF-HVR. Further identification and better genetic characterization of MeVs internationally is essential in identifying sources and routes of MeV spread within and beyond Europe in the elimination end game.
© The Author 2015. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

Entities:  

Keywords:  elimination; hemagglutinin; hypervariable region; measles; phylogeny

Mesh:

Substances:

Year:  2015        PMID: 26347574     DOI: 10.1093/infdis/jiv434

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  6 in total

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Authors:  Xiaoxian Cui; Yunyi Li; Yuying Yang; Wei Tang; Zhi Li; Hongyou Chen; Yang Li; Xinyi Cui; Zhuoying Huang; Xiaodong Sun; Songtao Xu; Yan Zhang; Chongshan Li; Xi Zhang
Journal:  Front Med (Lausanne)       Date:  2022-06-30

2.  Global Transmission Dynamics of Measles in the Measles Elimination Era.

Authors:  Yuki Furuse; Hitoshi Oshitani
Journal:  Viruses       Date:  2017-04-16       Impact factor: 5.048

3.  An Improved Barcoded Oligonucleotide Primers-based Next-generation Sequencing Approach for Direct Identification of Viral Pathogens in Clinical Specimens.

Authors:  Chun Hua Wang; Kai Nie; Yi Zhang; Ji Wang; Shuai Feng Zhou; Xin Na Li; Hang Yu Zhou; Shun Xiang Qi; Xue Jun Ma
Journal:  Biomed Environ Sci       Date:  2017-01       Impact factor: 3.118

4.  Diagnostic challenges and pockets of susceptibility identified during a measles outbreak, Luxembourg, 2019.

Authors:  Michel Kohnen; Patrick Hoffmann; Caroline Frisch; Emilie Charpentier; Aurélie Sausy; Judith M Hübschen
Journal:  Euro Surveill       Date:  2021-06

5.  Assessment of the Utility of Whole Genome Sequencing of Measles Virus in the Characterisation of Outbreaks.

Authors:  Ana Raquel Penedos; Richard Myers; Besma Hadef; Farah Aladin; Kevin E Brown
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

6.  Measles virus genotype D4 strains with non-standard length M-F non-coding region circulated during the major outbreaks of 2011-2012 in Spain.

Authors:  Horacio Gil; Aurora Fernández-García; María Mar Mosquera; Judith M Hübschen; Ana M Castellanos; Fernando de Ory; Josefa Masa-Calles; Juan E Echevarría
Journal:  PLoS One       Date:  2018-07-16       Impact factor: 3.240

  6 in total

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