Evaluation of Two Multiplex PCR–High-Resolution Melt Curve Analysis Methods for Differentiation of Campylobacter jejuni and Campylobacter coli Intraspecies
Banowary, Banya, Dang, Van Tuan, Sarker, Subir, Connolly, Joanne H., Chenu, Jeremy, Groves, Peter, Raidal, Shane, and Ghorashi, Seyed Ali (2018) Evaluation of Two Multiplex PCR–High-Resolution Melt Curve Analysis Methods for Differentiation of Campylobacter jejuni and Campylobacter coli Intraspecies. Avian Diseases, 62 (1). pp. 86-93.
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Abstract
Campylobacter infection is a common cause of bacterial gastroenteritis in humans and remains a significant global public health issue. The capability of two multiplex PCR (mPCR)–high-resolution melt (HRM) curve analysis methods (i.e., mPCR1-HRM and mPCR2-HRM) to detect and differentiate 24 poultry isolates and three reference strains of Campylobacter jejuni and Campylobacter coli was investigated. Campylobacter jejuni and C. coli were successfully differentiated in both assays, but the differentiation power of mPCR2-HRM targeting the cadF gene was found superior to that of mPCR1-HRM targeting the gpsA gene or a hypothetical protein gene. However, higher intraspecies variation within C. coli and C. jejuni isolates was detected in mPCR1-HRM when compared with mPCR2-HRM. Both assays were rapid and required minimum interpretation skills for discrimination between and within Campylobacter species when using HRM curve analysis software.
Item ID: | 79846 |
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Item Type: | Article (Research - C1) |
ISSN: | 1938-4351 |
Keywords: | Campylobacter coli, Campylobacter jejuni, differentiation, high-resolution melt curve analysis, multiplex PCR |
Copyright Information: | Copyright © 2023 BioOne. |
Date Deposited: | 25 Aug 2023 05:43 |
FoR Codes: | 31 BIOLOGICAL SCIENCES > 3107 Microbiology > 310701 Bacteriology @ 50% 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3009 Veterinary sciences > 300903 Veterinary bacteriology @ 50% |
SEO Codes: | 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280102 Expanding knowledge in the biological sciences @ 100% |
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