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February 2, 2026Sensors0 citationsOpen Access

Visual Screening of Genetic Polymorphisms in eae Gene of Escherichia coli O157:H7 with Single-Nucleotide Resolution by ARMS-PCR-Mediated Lateral Flow Strip

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NFNoor FatimaLJLiangliang JiangSSSiying Sun

Key Points

  • The study aims to develop a rapid and precise method for detecting genetic polymorphisms in Escherichia coli O157:H7.
  • Developed ARMS-PCR mediated lateral flow strip for SNP identification
  • Designed and optimized allele-specific primers
  • Tested assay sensitivity and specificity
  • Determined SNP differentiation ratio
  • Successfully differentiated single-nucleotide variations visually
  • Achieved high sensitivity and specificity
  • Obtained a single-nucleotide differentiation ratio as low as 0.1%
  • Provided a simple yes/no readout for genetic polymorphism screening

Abstract

Development of rapid, precise and fieldable detection methods for foodborne pathogens is one of the essential requirements in food safety and public health. In this research, the single-nucleotide polymorphisms (SNPs) in the eae gene of Escherichia coli O157:H7 are well visually identified with the designed amplification refractory mutation system–polymerase chain reaction (ARMS-PCR) mediated lateral flow strip (LFS). Allele-specific primers were designed and optimized to discriminate the mutant-type genes from wild-type genes with single-nucleotide resolution in a simple visual format. The single-nucleotide variation in the eae gene could be easily differentiated by the observation of an optical signal on the T line of the LFS without any devices. Assay performance results show that it has a high sensitivity and specificity with the single-nucleotide differentiation ratio as low as 0.1%. This genetic polymorphisms screening performance could enumerate complex genetic variation into a simple and direct yes/no readout, highlighting the ultra-easy SNP screening mode and the simplicity of the result output for practical applications. This ARMS-PCR mediated LFS offers a straightforward, swift, and economical strategy for SNP identification with great potential for use in evolution of bacterial resistance genes and viral evolution under different environmental stresses.

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Cite This Study

Fatima et al. (2026) studied this question.

synapsesocial.com/papers/6980fe48c1c9540dea81033chttps://doi.org/10.3390/s26030907
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