Phenotypic and Genotypic Screening of Colistin Resistance Associated with Emerging Pathogenic Escherichia coli Isolated from Poultry.
Heba BadrAbdelhafez SamirEssam Ismail El-TokhiMomtaz A ShaheinFlourage M RadyAshraf S HakimEhab Ali Mohamed FouadEngy Farahat El-SadySamah F AliPublished in: Veterinary sciences (2022)
Chickens continue to be an important reservoir of zoonotic multidrug-resistant illnesses. Antimicrobial resistance correlated with colistin has emerged as a critical concern worldwide in the veterinary field and the public health sector. The current study investigated the prevalence of multidrug-resistant avian pathogenic Escherichia coli among chicken farms in three Egyptian governorates, focusing on colistin resistance assessment. A total of 56 Escherichia coli isolates were recovered out of 120 pooled samples obtained from diseased chicken broilers (46.7%). The E. coli isolates were serotyped to nine different serotypes; the highest incidence was for O125 ( n = 18). The E. coli isolates demonstrated multidrug-resistant patterns against 10 antibiotics, especially clindamycin, tetracycline, streptomycin and ampicillin, by 100, 100, 96.4 and 92.9%, respectively. On the other hand, colistin resistance was 41.1% using AST. All E. coli isolates displayed positive colistin resistance growth on chromogenic medium, but only 25% represented this positivity via MIC estimation and Sensititre kit. PCR results revealed that all isolates harbored mcr -1, but no isolates harbored the other 2-5 mcr genes. In conclusion, the study demonstrated the emergence of multidrug-resistant, especially colistin-resistant, E. coli among chicken broiler flocks, and mcr -1 is the master gene of the colistin resistance feature.
Keyphrases
- escherichia coli
- multidrug resistant
- klebsiella pneumoniae
- acinetobacter baumannii
- gram negative
- drug resistant
- antimicrobial resistance
- genetic diversity
- public health
- biofilm formation
- risk factors
- heat stress
- machine learning
- genome wide
- clinical trial
- high resolution
- gene expression
- deep learning
- staphylococcus aureus
- copy number
- transcription factor
- atomic force microscopy
- single molecule
- neural network
- genome wide identification