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February 28, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Rapid detection of human and animal respiratory viruses using Microbe Finder (MiFi®)

MRMarcos R. Ribeiro-JuniorKCKitty F. CardwellDCDaniele Casini

Key Points

  • The aim is to evaluate the effectiveness of the Microbe Finder (MiFi) software in identifying key respiratory viruses in human and veterinary medicine.
  • Evaluated MiFi software for nine human and veterinary RNA viruses.
  • Identified species-specific signature sequences in pathogen genomes.
  • Assessed analytical specificity and sensitivity using simulated metagenomes and public databases.
  • Designed host-specific internal control probes for quality assurance.
  • Conducted in vivo testing with clinical nasal swab samples.
  • Achieved 100% specificity across 83 datasets during in silico validation.
  • Attained limits of detection as low as 0.0010% of total reads for some targets.
  • Demonstrated matching performance with PCR for multiple respiratory viruses.
  • Showcased multiplex and strain-specific detection in metagenomic data.

Abstract

Rapid and accurate detection of respiratory pathogens is essential for timely diagnosis, effective treatment, and outbreak monitoring in both human and veterinary medicine. We evaluated the Microbe Finder (MiFi ® ) software for detection of nine RNA viruses of human and veterinary clinical importance. Species specific signature sequences in the different pathogen genomes were identified, and specific electronic probe sets were curated using the MiFi ® software. Analytical specificity and sensitivity were evaluated through simulated metagenomes and public sequence databases, respectively. Host-specific internal control probes were designed to ensure diagnostic reliability and quality control. Diagnostic performance was assessed using Oxford Nanopore sequence data from clinical nasal swab samples. In silico validation showed 100% specificity across 83 datasets and limits of detection as low as 0.0010% of total reads (10 reads per 10 6 ) for some targets. Internal controls generated stable background signals without interfering with pathogen detection. In vivo testing of 44 clinical samples matched PCR performance for Human respiratory syncytial virus (HRSV), Influenza B virus (IBV), Influenza A virus (IAV), Bovine respiratory syncytial virus (BRSV), and Canine distemper virus (CDV). These findings demonstrate that the MiFi ® software enables rapid, multiplex, and strain-specific detection of respiratory viruses in metagenomic sequence data without the need for advanced bioinformatics expertise. The approach supports scalable use in clinical laboratories, veterinary diagnostics for surveillance and triage, offering a valuable tool for improving respiratory pathogen detection across diverse settings.

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Cite This Study

Ribeiro-Junior et al. (2026) studied this question.

synapsesocial.com/papers/69a285da0a974eb0d3c00c48https://doi.org/10.3389/fmicb.2026.1743643
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