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Newcastle Disease Virus in Madagascar: Identification of an Original Genotype Possibly Deriving from a Died Out Ancestor of Genotype IV

Overview of attention for article published in PLOS ONE, November 2010
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Title
Newcastle Disease Virus in Madagascar: Identification of an Original Genotype Possibly Deriving from a Died Out Ancestor of Genotype IV
Published in
PLOS ONE, November 2010
DOI 10.1371/journal.pone.0013987
Pubmed ID
Authors

Olivier F. Maminiaina, Patricia Gil, François-Xavier Briand, Emmanuel Albina, Djénéba Keita, Harentsoaniaina Rasamoelina Andriamanivo, Véronique Chevalier, Renaud Lancelot, Dominique Martinez, R. Rakotondravao, Jean-Joseph Rajaonarison, M. Koko, Abel A. Andriantsimahavandy, Véronique Jestin, Renata Servan de Almeida

Abstract

In Madagascar, Newcastle disease (ND) has become enzootic after the first documented epizootics in 1946, with recurrent annual outbreaks causing mortality up to 40%. Four ND viruses recently isolated in Madagascar were genotypically and pathotypically characterised. By phylogenetic inference based on the F and HN genes, and also full-genome sequence analyses, the NDV Malagasy isolates form a cluster distant enough to constitute a new genotype hereby proposed as genotype XI. This new genotype is presumably deriving from an ancestor close to genotype IV introduced in the island probably more than 50 years ago. Our data show also that all the previously described neutralising epitopes are conserved between Malagasy and vaccine strains. However, the potential implication in vaccination failures of specific amino acid substitutions predominantly found on surface-exposed epitopes of F and HN proteins is discussed.

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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Kenya 1 2%
France 1 2%
Singapore 1 2%
Unknown 56 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 11 18%
Student > Master 11 18%
Student > Postgraduate 4 7%
Professor > Associate Professor 4 7%
Other 8 13%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 42%
Veterinary Science and Veterinary Medicine 11 18%
Social Sciences 4 7%
Biochemistry, Genetics and Molecular Biology 4 7%
Medicine and Dentistry 3 5%
Other 6 10%
Unknown 7 12%