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Peer-reviewedCC BYInternational journal of molecular sciences

Molecular Diagnostics of Pathogenic Vibrio: Target Selection, Detection Platforms, and Challenges in Field Applications.

  • Feng Liu1,2,3
  • Yu Liu1,2,3
  • Shuangle Jin1,2,3
  • Qingbao Du4
4 affiliations
  1. 1Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences (IOCAS), Qingdao 266071, China.
  2. 2Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao 266200, China.
  3. 3College of Marine Science, University of Chinese Academy of Sciences, Beijing 101408, China.
  4. 4Tsingtao SINOVA-HK Biotechnology Co., Ltd., Qingdao 266400, China.
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Abstract

Pathogenic Vibrio species, including Vibrio parahaemolyticus, Vibrio cholerae, and Vibrio vulnificus, are major foodborne and environmental pathogens that threaten public health. Rapid and accurate detection is crucial for clinical diagnostics, food safety monitoring, and environmental surveillance. This review provides a comprehensive overview of molecular detection strategies for pathogenic Vibrio, integrating three key aspects: (i) selection of molecular targets, including species-specific, virulence-associated, and regulatory genes; (ii) analytical performance and limitations of major detection platforms, such as polymerase chain reaction (PCR)-based methods, isothermal amplification, clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated (Cas) systems, high-throughput sequencing (HTS), and biosensor-based approaches; and (iii) applicability across clinical, food, and environmental scenarios. We highlight the influence of genetic variability, sample matrix complexity, and viability on detection accuracy and discuss the advantages and limitations of single- and multi-target approaches. Emerging trends toward next-generation diagnostics, including integrated microfluidic platforms, CRISPR-Cas-based detection, multiplex assays, and artificial intelligence(AI)-assisted data analysis, are also examined. By identifying gaps and challenges in the routine deployment of these technologies, this review offers practical insights for the development of rapid, field-deployable diagnostic strategies for Vibrio pathogens.

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Cite

BibTeXRIS
BibTeX
@article{liu2026molecular,
  title = {{Molecular Diagnostics of Pathogenic Vibrio: Target Selection, Detection Platforms, and Challenges in Field Applications.}},
  author = {Feng Liu and Yu Liu and Shuangle Jin and Qingbao Du},
  journal = {International journal of molecular sciences},
  year = {2026},
  month = sep,
  doi = {10.3390/ijms27198514},
  url = {https://europepmc.org/article/MED/42883761},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Molecular Diagnostics of Pathogenic Vibrio: Target Selection, Detection Platforms, and Challenges in Field Applications.
AU  - Feng Liu
AU  - Yu Liu
AU  - Shuangle Jin
AU  - Qingbao Du
PY  - 2026
DA  - 2026/09/24
JO  - International journal of molecular sciences
DO  - 10.3390/ijms27198514
UR  - https://europepmc.org/article/MED/42883761
AB  - Pathogenic Vibrio species, including Vibrio parahaemolyticus, Vibrio cholerae, and Vibrio vulnificus, are major foodborne and environmental pathogens that threaten public health. Rapid and accurate detection is crucial for clinical diagnostics, food safety monitoring, and environmental surveillance. This review provides a comprehensive overview of molecular detection strategies for pathogenic Vibrio, integrating three key aspects: (i) selection of molecular targets, including species-specific, virulence-associated, and regulatory genes; (ii) analytical performance and limitations of major detection platforms, such as polymerase chain reaction (PCR)-based methods, isothermal amplification, clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated (Cas) systems, high-throughput sequencing (HTS), and biosensor-based approaches; and (iii) applicability across clinical, food, and environmental scenarios. We highlight the influence of genetic variability, sample matrix complexity, and viability on detection accuracy and discuss the advantages and limitations of single- and multi-target approaches. Emerging trends toward next-generation diagnostics, including integrated microfluidic platforms, CRISPR-Cas-based detection, multiplex assays, and artificial intelligence(AI)-assisted data analysis, are also examined. By identifying gaps and challenges in the routine deployment of these technologies, this review offers practical insights for the development of rapid, field-deployable diagnostic strategies for Vibrio pathogens.
SN  - 1422-0067
ER  -