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Rapid and sensitive detection of Salmonella species targeting the hilA gene using a loop-mediated isothermal amplification assay

  • Chu, Jiyon (Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea) ;
  • Shin, Juyoun (ConnectaGen) ;
  • Kang, Shinseok (Chungbuk Veterinary Services Laboratory) ;
  • Shin, Sun (Department of Microbiology, College of Medicine, The Catholic University of Korea) ;
  • Chung, Yeun-Jun (Department of Biomedicine & Health Sciences, Graduate School, The Catholic University of Korea)
  • Received : 2021.08.19
  • Accepted : 2021.09.17
  • Published : 2021.09.30

Abstract

Salmonella species are among the major pathogens that cause foodborne illness outbreaks. In this study, we aimed to develop a loop-mediated isothermal amplification (LAMP) assay for the rapid and sensitive detection of Salmonella species. We designed LAMP primers targeting the hilA gene as a universal marker of Salmonella species. A total of seven Salmonella species strains and 11 non-Salmonella pathogen strains from eight different genera were used in this study. All Salmonella strains showed positive amplification signals with the Salmonella LAMP assay; however, there was no non-specific amplification signal for the non-Salmonella strains. The detection limit was 100 femtograms (20 copies per reaction), which was ~1,000 times more sensitive than the detection limits of the conventional polymerase chain reaction (PCR) assay (100 pg). The reaction time for a positive amplification signal was less than 20 minutes, which was less than one-third the time taken while using conventional PCR. In conclusion, our Salmonella LAMP assay accurately detected Salmonella species with a higher degree of sensitivity and greater rapidity than the conventional PCR assay, and it may be suitable for point-of-care testing in the field.

Keywords

Acknowledgement

This work was supported by a grant from the Korea Health Industry Development Institute (KHIDI) (HI21C0561) and a grant from the National Research Foundation of Korea (2017M3C9A6047615). We thank KREONET (Korea Research Environment Open NETwork) and KISTI (Korea Institute of Science and Technology Information) for allowing us to use their network infrastructure.

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