Genomic insights into the adaptation of Acinetobacter johnsonii RB2-047 to the heavy metal-contaminated subsurface mine environment.
Ivana TimkováLenka MaliničováLea NosalovaMariana KolesarovaZuzana LorkováNikola PetrováPeter PristasJana KiskovaPublished in: Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine (2023)
The subsurface mine environments characterized by high levels of toxic metals and low nutrient availability represent an extreme threat to bacterial persistence. In recent study, the genomic analysis of the Acinetobacter johnsonii strain RB2-047 isolated from the Rozália Gold Mine in Slovakia was performed. As expected, the studied isolate showed a high level of heavy metal tolerance (minimum inhibitory concentrations were 500 mg/L for copper and nickel, 1,500 mg/L for lead, and 250 mg/L for zinc). The RB2-047 strain also showed noticeable resistance to several antibiotics (ampicillin, kanamycin, chloramphenicol, tetracycline and ciprofloxacin). The genomic composition analysis demonstrated a low number of antibiotic and metal resistance coding genes, but a high occurrence of efflux transporter genes located on the bacterial chromosome. The experimental inhibition of efflux pumps resulted in decreased tolerance to Zn and Ni (but not to Cu and Pb) and to all antibiotics tested. In addition, the H33342 dye-accumulation assay confirmed the high efflux activity in the RB2-047 isolate. These findings showed the important role of efflux pumps in the adaptation of Acinetobacter johsonii strain RB2-047 to metal polluted mine environment as well as in development of multi-antibiotic resistance.
Keyphrases
- heavy metals
- risk assessment
- health risk assessment
- health risk
- copy number
- acinetobacter baumannii
- sewage sludge
- human health
- genome wide
- oxide nanoparticles
- high throughput
- climate change
- drug resistant
- multidrug resistant
- bioinformatics analysis
- gene expression
- metal organic framework
- cystic fibrosis
- transcription factor
- silver nanoparticles
- genome wide identification
- anaerobic digestion