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Genetic characterization of canine parvovirus type 2 subtypes in Maputo, Mozambique

Overview of attention for article published in Archives of Microbiology, November 2016
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Title
Genetic characterization of canine parvovirus type 2 subtypes in Maputo, Mozambique
Published in
Archives of Microbiology, November 2016
DOI 10.1007/s00203-016-1320-7
Pubmed ID
Authors

J. Figueiredo, C. Miranda, R. Souto, E. Silva, J. Fafetine, G. Thompson

Abstract

Canine parvovirus type 2 (CPV-2) comprises three antigenic subtypes (2a, 2b and 2c) that have been reported in many countries. These subtypes cause serious disease in dogs with characteristic gastroenteritis signs. Little information has been documented in Africa about the genetic characterization of CPV-2. The aim of this study was to detect and to characterize the CPV-2 subtypes circulating in dogs admitted to Veterinary Clinics from two cities of Mozambique, Maputo and Matola, in 2010. A total of 40 field fecal samples were collected and tested for CPV-2 by polymerase chain reaction assay. The partial length VP2 gene of the positive samples were sequenced and genetically analyzed. Twenty-six (65%) fecal samples were positive for CPV-2. The restriction fragment length polymorphism analysis was also performed from positive samples and did not reveal the presence of CPV-2c subtype. The results of the sequencing revealed the presence of CPV-2a (n = 9) and CPV-2b (n = 17). No CPV-2 and CPV-2c were detected. Sequence analysis comparison showed nucleotide identities of 99.6-100% among our CPV-2 isolates. Amino acid analysis showed predicted amino acid changes. Phylogenetically, all of the CPV-2a strains isolated formed a cluster together with South African and Nigerian isolates. Most of Mozambican CPV-2b isolates also tended to cluster together with South African isolates; however, four were more closely related to French strain and one isolates to the American strain. The present study was the first to characterize the CPV-2 circulating in the Mozambican dog population.

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Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Researcher 3 9%
Professor > Associate Professor 3 9%
Student > Bachelor 2 6%
Professor 2 6%
Other 5 15%
Unknown 12 35%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 13 38%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 2 6%
Medicine and Dentistry 2 6%
Immunology and Microbiology 2 6%
Other 1 3%
Unknown 11 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2017.
All research outputs
#20,441,465
of 22,996,001 outputs
Outputs from Archives of Microbiology
#2,363
of 2,794 outputs
Outputs of similar age
#350,337
of 416,517 outputs
Outputs of similar age from Archives of Microbiology
#11
of 17 outputs
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