Performance of CHROMAGAR candida and BIGGY agar for identification of yeast species |
| |
| Authors: | Mine Yücesoy Serhat Marol |
| |
| Institution: | 1. Department of Infectious Disease Control, Norwegian Institute of Public Health, Oslo, Norway
2. Department of Pharmacology, Microbiology and Food Hygiene, Norwegian School of Veterinary Sciences, Oslo, Norway
|
| |
| Abstract: | Background The ability to react early to possible outbreaks of Escherichia coli O157:H7 and to trace possible sources relies on the availability of highly discriminatory and reliable techniques. The development of methods that are fast and has the potential for complete automation is needed for this important pathogen. Methods In all 73 isolates of shiga-toxin producing E. coli O157 (STEC) were used in this study. The two available fully sequenced STEC genomes were scanned for tandem repeated stretches of DNA, which were evaluated as polymorphic markers for isolate identification. Results The 73 E. coli isolates displayed 47 distinct patterns and the MLVA assay was capable of high discrimination between the E. coli O157 strains. The assay was fast and all the steps can be automated. Conclusion The findings demonstrate a novel high discriminatory molecular typing method for the important pathogen E. coli O157 that is fast, robust and offers many advantages compared to current methods. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
