Abstract

The consumption of water and food contaminated by pathogens is a major cause of numerous diseases and deaths globally. To control pathogen contamination and reduce the risk of illness, a system is required that can quickly detect and monitor target pathogens. We developed a simple and reproducible strategy, termed three-way junction (3WJ)-induced transcription amplification, to detect target nucleic acids by rationally combining 3WJ-induced isothermal amplification with a light-up RNA aptamer. In principle, the presence of the target nucleic acid generates a large number of light-up RNA aptamers (Spinach aptamers) through strand displacement and transcription amplification for 2 h at 37 °C. The resulting Spinach RNA aptamers specifically bind to fluorogens such as 3,5-difluoro-4-hydroxybenzylidene imidazolinone and emit a highly enhanced fluorescence signal, which is clearly distinguished from the signal emitted in the absence of the target nucleic acid. With the proposed strategy, concentrations of target nucleic acids selected from the genome of Salmonella enterica serovar Typhi (S. Typhi) were quantitatively determined with high selectivity. In addition, the practical applicability of the method was demonstrated by performing spike-and-recovery experiments with S. Typhi in human serum.

Highlights

  • The proposed strategy is performed at 37 ◦ C, and the target nucleic acids can be identified within 2 h by measuring the fluorescence signal emitted by difluoro-4-hydroxybenzylidene imidazolinone (DFHBI)

  • We devised an advanced strategy for the detection of target nucleic acids that relies on 3WJ-induced transcription amplification

  • The S/B ratio was markedly improved by rationally adopting light-up RNA aptamers compared to that obtained with the use of common DNA staining dyes, allowing for reproducible analysis of target nucleic acids with the suppression of false positive signals

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Summary

Introduction

According to the World Health Organization (WHO), more than 2.2 million people die each year globally as a result of waterborne diseases, of which approximately 1.4 million are children, leading to a significant economic loss of about $12 billion [1,2,3]. The spread of pathogens and disease should be controlled to mitigate the incurred economic and social burden, resulting in high demand for a system that can accurately detect and regularly monitor pathogens [3,4]. The gold standards for detecting pathogens are bacterial culture and biochemical tests [5]. These methods have critical limitations, including the need for sophisticated and time-consuming experimental procedures, incompatibility of microorganisms with bacterial culture, and long turnaround time for results

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