Vibrio vulnificus is a heterogeneous species that comprises strains virulent and avirulent for humans and fish, and it is grouped into three biotypes. In this report, we describe a PCR-based methodology that allows both the species identification and discrimination of those isolates that could be considered dangerous to public health. Discrimination is based on the amplification of a variable region located within the gene pilF, which seems to be associated with potential human pathogenicity, regardless of the biotype of the strain.
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http://dx.doi.org/10.1128/AEM.01042-09 | DOI Listing |
Nucleic Acids Res
December 2024
National Research Laboratory of Molecular Microbiology and Toxicology, Department of Agricultural Biotechnology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
For successful infection, the life-threatening pathogen Vibrio vulnificus elaborately regulates the expression of survival and virulence genes using various transcription factors (TFs). In this study, a library of the V. vulnificus mutants carrying specific signature tags in 285 TF genes was constructed and subjected to 16 phenotypic analyses.
View Article and Find Full Text PDFMar Biotechnol (NY)
December 2024
Sanya Tropical Fisheriers Research Institute, Sanya, 572108, Hainan Province, China.
Galectins exhibit a variety of biological functions through interactions with their ligands, including galactose and its derivatives. Tandem-repeat galectins, such as Galectin-8, can act as pattern recognition receptors to aggregate and neutralize bacterial pathogens. In this study, Galectin-8 was identified in Trachinotus ovatus (golden pompano).
View Article and Find Full Text PDFPLoS Pathog
December 2024
Burnett School of Biomedical Sciences, University of Central Florida, Orlando Florida, United States of America.
Climate change is having increasingly profound effects on human health, notably those associated with the occurrence, distribution, and transmission of infectious diseases. The number of disparate ecological parameters and pathogens affected by climate change are vast and expansive. Disentangling the complex relationship between these variables is critical for the development of effective countermeasures against its effects.
View Article and Find Full Text PDFInfect Drug Resist
December 2024
Department of Emergency Medicine, Chiayi Chang Gung Memorial Hospital, Puzih City, Chiayi County, Taiwan.
Background: Recent advancements in artificial intelligence have led to increased adoption of machine learning in disease identification, particularly for challenging diagnoses like necrotizing fasciitis and infections. This shift is driven by the technology's efficiency, objectivity, and accuracy, offering potential solutions to longstanding diagnostic hurdles in clinical practice.
Methods: This investigation incorporated 180 inpatients suffering from soft tissue infections.
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