Eva Cepec (Author), Janja Trček (Author)

Abstract

Consumers’ preference towards healthy and novel foods dictates the production of organic unfiltered bottled vinegar that still contains acetic acid bacteria. After ingesting vinegar, the bacteria come into close contact with the human microbiota, creating the possibility of horizontal gene transfer, including genetic determinants for antibiotic resistance. Due to the global spread of antimicrobial resistance (AMR), we analyzed the AMR of Acetobacter and Komagataeibacter species originating mainly from vinegars. Six antibiotics from different structural groups and mechanisms of action were selected for testing. The AMR was assessed with the disk diffusion method using various growth media. Although the number of resistant strains differed among the growth media, 97.4%, 74.4%, 56.4%, and 33.3% of strains were resistant to trimethoprim, erythromycin, ciprofloxacin, and chloramphenicol, respectively, on all three media. Moreover, 17.9% and 53.8% of all strains were resistant to four and three antibiotics of different antimicrobial classes, respectively. We then looked for antimicrobial resistance genes in the genome sequences of the reference strains. The most common genetic determinant potentially involved in AMR encodes an efflux pump. Since these genes pass through the gastrointestinal tract and may be transferred to human microbiota, further experiments are needed to analyze the probability of this scenario in more detail.

Keywords

ne zaključna dela;acetic acid bacteria;Acetobacter;Komagataeibacter;antimicrobial resistance;trimethoprim resistance;erythromycin resistance;ciprofloxacin resistance;chloramphenicol resistance;ampicillin resistance;gentamicin resistance;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FNM - Faculty of Natural Sciences and Mathematics
Publisher: MDPI
UDC: 579
COBISS: 91776259 Link will open in a new window
ISSN: 1660-4601
Views: 479
Downloads: 38
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: Bakterije;Antibiotiki;
Type (COBISS): Article
Pages: str. 1-10
Volume: ǂVol. ǂ19
Issue: ǂiss. ǂ1
Chronology: 2022
DOI: 10.3390/ijerph19010463
ID: 19841857