JOURNAL ARTICLE

Unveiling the virulence, genetic links, and enzyme profiles of bivalve-associated Vibrio parahaemolyticus from the southwest coast of India.

  • Published In: Letters in Applied Microbiology, 2025, v. 78, n. 5. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bhaskaran, Remya; Ramachandra, Krupesha Sharma Sulumane; Peter, Reynold; Gopakumar, Sumithra T; Vaiyapuri, Murugadas; Vineeth, Rajan; Vijayan, Ardhra; M, Rithin R; Ramanathan, Sreenath K 3 of 3

Abstract

The article focuses on the investigation of virulence factors, enzymatic activity, and genetic diversity of Vibrio parahaemolyticus isolates obtained from bivalves along the southwest coast of India. The study found a low prevalence of the virulence genes tdh (thermostable direct hemolysin) and trh (thermostable-related hemolysin), with none of the isolates carrying both genes or the T3SS2α and T3SS2β secretion system genes, while all isolates possessed T3SS1 genes and 64% expressed T6SS1 genes. Enzymatic profiling revealed widespread production of extracellular enzymes such as gelatinase, lipase, and caseinase, which are implicated in pathogenicity. Genetic subtyping using ERIC-PCR and pulsed field gel electrophoresis (PFGE) demonstrated considerable heterogeneity and clustering of environmental isolates with clinical strains, suggesting potential health risks from consumption of raw or undercooked bivalves. The findings underscore the importance of ongoing surveillance and seafood safety measures to monitor the distribution of potentially pathogenic V. parahaemolyticus in marine environments.

Additional Information

  • Source:Letters in Applied Microbiology. 2025/05, Vol. 78, Issue 5, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0266-8254
  • DOI:10.1093/lambio/ovaf069
  • Accession Number:185678940
  • Copyright Statement:Copyright of Letters in Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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