Literature DB >> 17660432

Classification of Mycoplasma synoviae strains using single-strand conformation polymorphism and high-resolution melting-curve analysis of the vlhA gene single-copy region.

Nathan Jeffery1, Robin B Gasser2, Penelope A Steer2, Amir H Noormohammadi2.   

Abstract

Mycoplasma synoviae is an economically important pathogen of poultry worldwide, causing respiratory infection and synovitis in chickens and turkeys. Identification of M. synoviae isolates is of critical importance, particularly in countries in which poultry flocks are vaccinated with the live attenuated M. synoviae strain MS-H. Using oligonucleotide primers complementary to the single-copy conserved 5' end of the variable lipoprotein and haemagglutinin gene (vlhA), amplicons of approximately 400 bp were generated from 35 different M. synoviae strains/isolates from chickens and subjected to mutation scanning analysis. Analysis of the amplicons by single-strand conformation polymorphism (SSCP) revealed 10 distinct profiles (A-J). Sequencing of the amplicons representing these profiles revealed that each profile related to a unique sequence, some differing from each other by only one base-pair substitution. Comparative high-resolution melting (HRM) curve analysis of the amplicons using SYTO 9 green fluorescent dye also displayed profiles which were concordant with the same 10 SSCP profiles (A-J) and their sequences. For both mutation detection methods, the Australian M. synoviae strains represented one of the A, B, C or D profiles, while the USA strains represented one of the E, F, G, H, I or J profiles. The results presented in this study show that the PCR-based SSCP or HRM curve analyses of vlhA provide high-resolution mutation detection tools for the detection and identification of M. synoviae strains. In particular, the HRM curve analysis is a rapid and effective technique which can be performed in a single test tube in less than 2 h.

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Year:  2007        PMID: 17660432     DOI: 10.1099/mic.0.2006/005140-0

Source DB:  PubMed          Journal:  Microbiology (Reading)        ISSN: 1350-0872            Impact factor:   2.777


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