The determination of antimicrobial susceptibility by MIC and epidemiological cut-off values and the detection of resistance genes inAeromonasspecies isolated from cultured fish

Duman M., Satıcıoğlu İ. B. , Altun S.

LETTERS IN APPLIED MICROBIOLOGY, vol.71, no.5, pp.531-541, 2020 (Peer-Reviewed Journal) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 71 Issue: 5
  • Publication Date: 2020
  • Doi Number: 10.1111/lam.13363
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, PASCAL, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, EMBASE, Environment Index, Food Science & Technology Abstracts, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, DIALNET
  • Page Numbers: pp.531-541
  • Keywords: antimicrobial resistance, epidemiological cut-off values, motileAeromonasspp, normalized resistance interpretation, resistance genes, ANTIBIOTIC-RESISTANCE, AEROMONAS SPP., MOLECULAR CHARACTERIZATION, MOTILE AEROMONADS, WATER, BACTERIA, DIVERSITY, FARMS, FOODS


The present study was aimed at determining antimicrobial susceptibility by a CLSI standard microdilution testing protocol and detecting the resistance genes of motileAeromonasspecies isolated from cultured fish. The importance of the minimum inhibitory concentrations was assessed based on statistically determined epidemiological cut-off values calculated by normalized resistance analysis. Unfortunately, CLSI epidemiological cut-off values are available only forAeromonas salmonicida, and there is no further detailed data onAeromonasisolated from aquatic animals. The antimicrobial susceptibilities of pre-identified motileAeromonasspecies to florfenicol, tetracycline and sulfamethoxazole were determined by calculating epidemiological cut-off values with fully automated and freely available Excel spreadsheets, applying the normalized resistance interpretation (NRI) method. Furthermore, the presence of the antimicrobial resistance genesfloR,tetA,tetB,tetC,tetD,tetE,tetH,sulI,sulII andsulIII was detected by PCR analysis and confirmed by sequence analysis. The presence of up to six different genes (multiple antimicrobial resistance) was determined in theAeromonasisolates. Significance and Impact of the Study Significance and Impact of the Study:In this study, we investigated phenotypic and genotypic antimicrobial resistance characteristics by a novel method based on epidemiological cut-off values. This is the second comprehensive study on the antimicrobial susceptibility characteristics ofAeromonasspecies using NRI and epidemiological cut-off values. The present research is related to our previous researches focussed on the identification of motile Aeromonads, their prevalence in relation to different fish lengths, seasons and regions, and covered the investigation ofLactococcus garvieae,Yersinia ruckeri, Flavobacteriumspp.,Enterobacterspp. andCitrobacterspp.