Dataset on antimicrobial resistance of Vibrio spp. isolates across Adriatic regions
Description
The underlying hypothesis of this study was that Vibrio spp. isolates from different regions of the Adriatic Sea display distinct antimicrobial resistance patterns that reflect regional environmental conditions and anthropogenic pressures. To test this hypothesis, Vibrio isolates were collected from several Adriatic regions and phenotypically tested for antimicrobial susceptibility using standardized disk diffusion methods. The dataset demonstrates variability in resistance profiles among isolates from the northern, central, and southern Adriatic regions, including differences in the frequency of resistance to commonly used antibiotics. These patterns provide insight into regional trends in antimicrobial resistance and highlight the potential influence of local environmental and ecological factors. The data can be interpreted by comparing resistance profiles across regions and antibiotics, and can be reused for comparative analyses, meta-analyses, and broader One Health–oriented studies addressing antimicrobial resistance in marine environments and aquaculture-associated bacteria. Sequence data generated in this study are publicly available in the NCBI GenBank database under accession numbers OL979296–OL979441. Reference sequences used for phylogenetic reconstruction are listed in the supplementary materials of the associated publication and are not included in this dataset.
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Steps to reproduce
Vibrio spp. isolates were obtained from marine samples collected in various regions of the Adriatic Sea. Bacterial isolation and cultivation were carried out using standard microbiological techniques under laboratory conditions. Species identification was performed using conventional microbiological and molecular methods, as detailed in the associated peer-reviewed publication. Antimicrobial susceptibility was determined using the disk diffusion method in accordance with internationally accepted guidelines. Inhibition zone diameters were measured and interpreted according to standardized breakpoint criteria. The resulting phenotypic resistance profiles were compiled into a structured dataset for comparative analysis of antimicrobial resistance patterns across Adriatic regions. Data were curated and organised using spreadsheet software (Microsoft Excel), with standardized variable names and consistent formatting to facilitate reuse and reproducibility. Detailed protocols, quality control procedures, and data interpretation criteria are fully described in the associated scientific publication.
Institutions
- Institut Ruder BoskovicZagreb