High Genetic Diversity and Antimicrobial Resistance in Escherichia col i Highlight Arapaima gigas (Pisces: Arapaimidae) as a Reservoir of Quinolone-Resistant Strains in Brazilian Amazon Rivers.
Luciana Sampaio LimaAldo Aparecido Proietti-JuniorYan Corrêa RodriguesMarcelo Cleyton da Silva VieiraLuana Nepomuceno Gondim Costa LimaCintya de Oliveira SouzaVerônica Dias GonçalvesMarcelo de Oliveira LimaDália Dos Prazeres RodriguesKarla Valéria Batista LimaPublished in: Microorganisms (2022)
The increasing prevalence of multi-drug resistant (MDR) Escherichia coli in distinct ecological niches, comprising water sources and food-producing animals, such as fish species, has been widely reported. In the present study, quinolone-resistant E. coli isolates from Arapirama gigas , a major fish species in the Brazilian Amazon rivers and fish farms, were characterized regarding their antimicrobial susceptibility, virulence, and genetic diversity. A total of forty (40) specimens of A. gigas , including 20 farmed and 20 wild fish, were included. Thirty-four quinolone-resistant E. coli isolates were phenotypically tested by broth microdilution, while resistance and virulence genes were detected by PCR. Molecular epidemiology and genetic relatedness were analyzed by MLST and PFGE typing. The majority of isolates were classified as MDR and detected harboring bla CTX-M , qnrA and qnrB genes. Enterotoxigenic E. coli pathotype (ETEC) isolates were presented in low prevalence among farmed animals. MLST and PFGE genotyping revealed a wide genetic background, including the detection of internationally spread clones. The obtained data point out A. gigas as a reservoir in Brazilian Amazon aquatic ecosystems and warns of the interference of AMR strains in wildlife and environmental matrices.
Keyphrases
- genetic diversity
- escherichia coli
- antimicrobial resistance
- drug resistant
- multidrug resistant
- klebsiella pneumoniae
- genome wide
- biofilm formation
- acinetobacter baumannii
- human health
- climate change
- risk factors
- risk assessment
- dna methylation
- pseudomonas aeruginosa
- machine learning
- drinking water
- electronic health record
- single cell
- deep learning
- label free
- genome wide identification
- big data
- artificial intelligence
- water quality
- ultrasound guided
- life cycle