A simple approach to obtain comparable Shigella sonnei MLVA results across laboratories
| Autor: | Shiu-Yun Liang, Hidemasa Izumiya, Xiu Pei Koh, Junyoung Kim, Kwai Lin Thong, Jonas T. Larsson, Chien-Shun Chiou |
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| Rok vydání: | 2013 |
| Předmět: |
Microbiology (medical)
Molecular Epidemiology business.industry Calibration set Shigella sonnei Minisatellite Repeats General Medicine Computational biology Multiple Loci VNTR Analysis Biology bacterial infections and mycoses Microbiology Subtyping Biotechnology Molecular Typing Molecular typing Infectious Diseases Mathematical equations Tandem repeat Calibration Humans business |
| Zdroj: | International Journal of Medical Microbiology. 303:678-684 |
| ISSN: | 1438-4221 |
| Popis: | a b s t r a c t Multilocus variable-number tandem repeat analysis (MLVA) is a promising subtyping tool to comple- ment pulsed-field gel electrophoresis for discriminating closely related strains of some monomorphic organisms, including Shigella sonnei, which is one of the major foodborne pathogens. However, MLVA results are usually difficult to compare directly between laboratories, impeding the application of MLVA as a subtyping tool for disease surveillance and investigation of common outbreaks across regions or countries. It has long been a big challenge in seeking an approach that can be implemented to obtain comparable MLVA results across laboratories. By implementing a panel of calibration strains in each par- ticipating laboratory for data normalization, the MLVA results of 20 test strains were comparable even though some analytical conditions were different among the laboratories. This approach is simple, pro- tocol independent, and easy to implement in every laboratory, and a small calibration set is sufficient to generate mathematical equations for accurate copy number conversion. |
| Databáze: | OpenAIRE |
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