Co-Prevalence of Virulence and Pathogenic Potential in Multiple Antibiotic Resistant Aeromonas spp. from Diseased Fishes with In Silico Insight on the Virulent Protein Network.
Nabanita ChakrabortyBasanta Kumar DasAsit Kumar BeraSimanku BorahDebasmita MohantyAnil Kumar YadavJeetendra KumarSatish Kumar KoushleshThangjam Nirupada ChanuSoumya Prasad PandaRavali VallangiPublished in: Life (Basel, Switzerland) (2022)
Aeromonas species exhibit widespread presence in food, poultry, and aquaculture. They are major multi-drug-resistant fish pathogens. This study aims to identify Aeromonas species harbouring virulence genes aerolysin, flagellin, and lipase from diseased fishes of Assam wetlands with association with antibiotic resistance and in vivo pathogenicity. One hundred and thirty-four Aeromonas strains were isolated and thirty representative species identified using genus-specific 16S rRNA gene amplification. A. veronii was most prevalent (53.7%) followed by A. hydrophila (40.2%), A. caviae (4.47%), and A. dhakensis (1.49%). Ninety percent (90%) of strains harboured at least one of the studied virulence genes: aerA (73.3%), lip (46.6%), and flaA (26.6%). The highest multiple antibiotic resistance (MAR) index 0.8 corresponded to A. hydrophila DBTNE1 (MZ723069), containing all the studied genes. The lowest LD50 values (1.6 × 106 CFU/fish) corresponded to isolates having both aerA and lip. β-lactams showed utmost resistance and lowest for aminoglycosides. There was a significant (p < 0.05) Pearson chi-square test of association between the occurrence of virulence and antibiotic resistance. The in silico protein−protein interaction revealed important drug targets, such as σ28 transcription factor, aminoacyl-tRNA synthetase, and diacylglycerol kinase, with significant (p < 0.05) enrichment. This study suggests that fish-isolate Aeromonas strains represent potential threat to aquaculture with subsequent risk of transferring antibiotic resistance to human pathogens.
Keyphrases
- escherichia coli
- antimicrobial resistance
- drug resistant
- pseudomonas aeruginosa
- biofilm formation
- protein protein
- staphylococcus aureus
- genome wide
- genome wide identification
- transcription factor
- small molecule
- endothelial cells
- risk assessment
- bioinformatics analysis
- emergency department
- genome wide analysis
- induced pluripotent stem cells
- copy number
- gene expression
- drug induced
- nucleic acid
- dna binding
- electronic health record
- solid state
- water quality
- antibiotic resistance genes