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Structure analysis of capsid protein of Porcine circovirus type 2 from pigs with systemic disease

Overview of attention for article published in Brazilian Journal of Microbiology, November 2017
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Title
Structure analysis of capsid protein of Porcine circovirus type 2 from pigs with systemic disease
Published in
Brazilian Journal of Microbiology, November 2017
DOI 10.1016/j.bjm.2017.08.007
Pubmed ID
Authors

Danielle Gava, Vitor Hugo Balasco Serrão, Lana Teixeira Fernandes, Mauricio Egídio Cantão, Janice Reis Ciacci-Zanella, Nelson Morés, Rejane Schaefer

Abstract

Economic losses with high mortality rate associated with Porcine circovirus type 2 (PCV2) is reported worldwide. PCV2 commercial vaccine was introduced in 2006 in U.S. and in 2008 in Brazil. Although PCV2 vaccines have been widely used, cases of PCV2 systemic disease have been reported in the last years. Eleven nursery or fattening pigs suffering from PCV2 systemic disease were selected from eight PCV2-vaccinated farms with historical records of PCV2 systemic disease in Southern Brazil. PCV2 genomes were amplified and sequenced from lymph node samples of selected pigs. The comparison among the ORF2 amino acid sequences of PCV2 isolates revealed three amino acid substitutions in the positions F57I, N178S and A190T, respectively. Using molecular modeling, a structural model for the capsid protein of PCV2 was built. Afterwards, the mutated residues positions were identified in the model. The structural analysis of the mutated residues showed that the external residue 190 is close to an important predicted region for antibodies recognition. Therefore, changes in the viral protein conformation might lead to an inefficient antibody binding and this could be a relevant mechanism underlying the recent vaccine failures observed in swine farms in Brazil.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Master 5 15%
Student > Bachelor 4 12%
Other 3 9%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 9 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 7 21%
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 4 12%
Engineering 2 6%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 9 26%