4.3 Article

Quantification of E. coli O157 and STEC in feces of farm animals using direct multiplex real time PCR (qPCR) and a modified most probable number assay comprised of immunomagnetic bead separation and qPCR detection

期刊

JOURNAL OF MICROBIOLOGICAL METHODS
卷 99, 期 -, 页码 44-53

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ELSEVIER SCIENCE BV
DOI: 10.1016/j.mimet.2014.02.002

关键词

E. coli O157/STEC; Shiga-toxin; Real-time PCR; Modified MPN; Quantification; On-farm

资金

  1. Public Health Agency of Canada

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To better understand Escherichia coli O157:H7 on-farm transmission dynamics requires sensitive methods for quantification of a broad range of concentrations of target organisms. For this purpose, a multiplex real time PCR (qPCR) assay was developed for quantification of O157 E. coli from 1 g fecal samples of cattle and other animal species, targeting the Shiga toxin genes (stx1 and stx2) and the O157 somatic antigen gene, per. The multiplex qPCR assay provided specific detection across a broad range of bacterial concentrations with a lower limit of detection CLOD) of 10(1) genome copies which is equivalent to 10(1) bacteria. However, the LOD, when direct qPCR was applied to quantification of the targets in the feces of dairy cattle, was 10(3) genome copies per gram of feces. Enumeration below the threshold for direct qPCR was performed using a modified most probable number (mMPN) method whereby E. colt O157 in enriched samples was isolated using immunomagnetic bead separation (IMS) and detected using OCR, thus reducing the time and logistic constraints of biochemical/serological/gel analysis. Application of the mMPN (IMS/qPCR) assay to samples that were negative when tested using direct qPCR alone permitted quantification of low levels of E. coli O157 below levels detectable with direct qPCR. The direct qPCR and mMPN (IMS/qPCR) assays were applied to fecal samples from dairy, beef, swine and poultry feces. This approach can be employed to gain a better understanding of the patterns of infection in animals for analysis of on-farm transmission dynamics, for evaluating the effects of on-farm control strategies and for risk assessment in public health. (C) 2014 Crown Copyright and Elsevier B.V. All rights reserved.

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