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1.
Trop Anim Health Prod ; 45(2): 569-76, 2013 Feb.
Article in English | MEDLINE | ID: mdl-22983878

ABSTRACT

The aim of this study was to evaluate a simple molecular method of reverse transcriptase polymerase chain reaction (RT-PCR) to differentiate Newcastle disease virus strains according to their pathogenicity, in order to use it in molecular screening of Newcastle disease virus in poultry and free-living bird populations. Specific primers were developed to differentiate LaSota--LS--(vaccine strain) and Sao Joao do Meriti--SJM--strain (highly pathogenic strain). Chickens and pigeons were experimentally vaccinated/infected for an in vivo study to determine virus shedding in feces. Validation of sensitivity and specificity of the primers (SJM and LS) by experimental models used in the present study and results obtained in the molecular analysis of the primers by BLAST made it possible to generalize results. The development of primers that differentiate the level of pathogenicity of NDV stains is very important, mainly in countries where real-time RT-PCR is still not used as a routine test. These primers were able to determine the presence of the agent and to differentiate it according to its pathogenicity.


Subject(s)
Chickens , Columbidae , Newcastle Disease/diagnosis , Newcastle disease virus/isolation & purification , Poultry Diseases/diagnosis , Reverse Transcriptase Polymerase Chain Reaction/methods , Animals , DNA Primers/genetics , Feces/virology , Newcastle Disease/virology , Newcastle disease virus/genetics , Poultry Diseases/virology , Reverse Transcriptase Polymerase Chain Reaction/veterinary , Sensitivity and Specificity , Virus Shedding
2.
Avian Pathol ; 40(2): 153-62, 2011 Apr.
Article in English | MEDLINE | ID: mdl-21500035

ABSTRACT

As part of an epidemiological study of infectious bronchitis virus (IBV) in Brazil, 252 samples from IBV-suspect flocks were tested and the IBV-positive samples were analysed by sequencing of hypervariable regions 1 and 2 of the S1 gene. A high prevalence of IBV variants was found and the sequence analysis of 41 samples revealed a high molecular similarity among the Brazilian isolates (from 90.2 to 100% and from 85.3 to 100% nucleotide and amino acid identity, respectively). The Brazilian isolates showed low genetic relationship with Massachusetts (63.4 to 70.7%), European (45.9 to 75.6%), American (49.3 to 76.4%) and other reference serotypes (67.5 to 78.8%). The Brazilian isolates branched into one unique cluster, separate from the reference serotypes used for infectious bronchitis control in other countries. The variants analysed in this work had a high similarity with all previously published Brazilian IBV isolates, suggesting the presence and high prevalence of a unique or predominant genotype circulating in Brazil. In addition, the virus neutralization test showed that the three Brazilian isolates analysed in the present study are antigenically related to one another but are different from the Massachusetts serotype. The present study shows that IBVs of a unique genotype can be associated with different clinical diseases, and that low genetic variation was detected in this genotype over a long period of time. The molecular characterization of the Brazilian variants isolated from 2003 to 2009 from different geographic regions of the country shows that only one predominant genotype is widespread in the Brazilian territory, denominated in this study as BR-I genotype.


Subject(s)
Chickens/virology , Coronavirus Infections/veterinary , Infectious bronchitis virus/isolation & purification , Poultry Diseases/epidemiology , Amino Acid Sequence , Animals , Base Sequence , Brazil/epidemiology , Chick Embryo , Coronavirus Infections/epidemiology , Coronavirus Infections/virology , Female , Genetic Variation , Genotype , Infectious bronchitis virus/classification , Infectious bronchitis virus/genetics , Male , Molecular Epidemiology , Molecular Sequence Data , Phylogeny , Poultry Diseases/virology , Prevalence , Sequence Analysis, DNA , Specific Pathogen-Free Organisms , Time Factors
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