Exploring the Interplay of the CRISPR-CAS System with Antibiotic Resistance in Staphylococcus aureus : A Poultry Meat Study from Lahore, Pakistan.
Muhammad Abu Bakr ShabbirAziz-Ul- RahmanMuhammad Rizwan IftikharMajeeda RasheedMuhammad Kashif MaanAdeel SattarMehmood AhmadFarid Ahmed KhanWaqas AhmadMuhammad Ilyas RiazHassaan Bin AslamPublished in: Medicina (Kaunas, Lithuania) (2024)
Staphylococcus aureus is one of the major pathogens responsible for causing food poisoning worldwide. The emergence of antibiotic resistance in this bacterium is influenced by various factors. Among them, bacterial acquired defense systems described as clustered regularly interspaced short palindromic repeats (CRISPR)-cas system might be involved in antibiotic resistance development in bacteria. The current study was designed to assess the prevalence of S. aureus and its antibiotic resistance profile and identify the relationship of the CRISPR-cas system with antimicrobial resistance, followed by phylogenetic analysis. Total samples ( n = 188) of poultry meat were collected from the poultry bird market of Lahore, Punjab, Pakistan. We used both phenotypic (antibiotic disc diffusion) and genotypic methods (PCR) to identify multi-drug resistant (MDR) strains of S. aureus. Additionally, the role of the CRISPR-Cas system in the isolated MDR S. aureus was also assessed. In addition, real-time quantitative PCR (qRT-PCR) was used to evaluate the association of the CRISPR-cas system with antimicrobial resistance. All of the S. aureus isolates showed 100% resistance against erythromycin, 97.5% were resistant to tetracycline, and 75% were resistant to methicillin. Eleven isolates were MDR in the current study. The CRISPR system was found in all MDR isolates, and fifteen spacers were identified within the CRISPR locus. Furthermore, MDR S. aureus isolates and the standard strain showed higher expression levels of CRISPR-associated genes. The correlation of said system with MDR isolates points to foreign gene acquisition by horizontal transfer. Current knowledge could be utilized to tackle antibiotic-resistant bacteria, mainly S. aureus .
Keyphrases
- crispr cas
- genome editing
- antimicrobial resistance
- multidrug resistant
- staphylococcus aureus
- drug resistant
- genome wide
- gram negative
- genetic diversity
- acinetobacter baumannii
- poor prognosis
- escherichia coli
- gene expression
- high resolution
- pseudomonas aeruginosa
- risk factors
- copy number
- tertiary care
- climate change
- methicillin resistant staphylococcus aureus