4.6 Article

Development and Validation of a New TaqMan Real-Time PCR for the Detection of Ornithobacterium rhinotracheale

Journal

MICROORGANISMS
Volume 10, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/microorganisms10020341

Keywords

Ornithobacterium rhinotracheale (ORT); ornithobacteriosis; TaqMan real-time PCR (qPCR); bacterial detection; clinical samples

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Funding

  1. U.S.-Egypt Higher Education Initiative-Graduate Scholarships for Professionals Activity (GSP) Program [2018/2019]

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This article describes the development of an improved detection method for Ornithobacterium rhinotracheale (ORT). The modified method exhibits higher efficiency, sensitivity, and specificity, enabling sensitive and efficient diagnosis of ORT from clinical samples.
Ornithobacterium rhinotracheale (ORT) has been associated with poultry respiratory disease worldwide. The organism is fastidious and isolation is challenging. One TaqMan real-time PCR (qPCR) assay has been developed for the detection of ORT. However, during validating the ORT qPCR, the assay performance was suboptimal. During the in silico evaluation, deviations from the basic parameters for primers and probes designs (e.g., presence of stable undesirable primer-dimers) were observed. The suboptimal design led to low efficiency and low sensitivity of the assay. Initially, modification on the probe was carried out to improve the performance of the assay. However, the assay's performance (efficiency and sensitivity) was still suboptimal. In this manuscript, we describe the development of a new qPCR assay and the comparison of its performance with the currently available assay. A highly efficient, sensitive, and specific qPCR assay was developed with approximately 1000-folds reduction in the limit of detection (from 3 x 10(6) plasmid DNA copies/mL to 1 x 10(3) plasmid DNA copies/mL). Additionally, the efficiency of the new assay (E = 98.70%) was significantly better than the current assay (E = 73.18%). The newly developed assay is an improved diagnostic tool for the sensitive and efficient diagnosis of ORT from clinical samples.

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