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Evaluation of microbial qPCR workflows using engineered Saccharomyces cerevisiae
AIMS: We describe the development and interlaboratory study of modified Saccharomyces cerevisiae as a candidate material to evaluate a full detection workflow including DNA extraction and quantitative polymerase chain reaction (qPCR). METHODS AND RESULTS: S. cerevisiae NE095 was prepared by stable i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827694/ https://www.ncbi.nlm.nih.gov/pubmed/27077050 http://dx.doi.org/10.1016/j.bdq.2016.01.001 |
Sumario: | AIMS: We describe the development and interlaboratory study of modified Saccharomyces cerevisiae as a candidate material to evaluate a full detection workflow including DNA extraction and quantitative polymerase chain reaction (qPCR). METHODS AND RESULTS: S. cerevisiae NE095 was prepared by stable insertion of DNA sequence External RNA Control Consortium-00095 into S. cerevisiae BY4739 to convey selectivity. For the interlaboratory study, a binomial regression model was used to select three cell concentrations, high (4 × 10(7) cells ml(−1)), intermediate (4 × 10(5) cells ml(−1)) and low (4 × 10(3) cells ml(−1)), and the number of samples per concentration. Seven participants, including potential end users, had combined rates of positive qPCR detection (quantification cycle <37) of 100%, 40%, and 0% for high, intermediate, and low concentrations, respectively. CONCLUSIONS: The NE095 strain was successfully detected by all participants, with the high concentration indicating a potential target concentration for a reference material. SIGNIFICANCE AND IMPACT OF THE STUDY: The engineered yeast has potential to support measurement assurance for the analytical process of qPCR, encompassing the method, equipment, and operator, to increase confidence in results and better inform decision-making in areas of applied microbiology. This material can also support process assessment for other DNA-based detection technologies. |
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