This study was carried out to detect the distribution of antibioticresistant genes in multi-antibiotic resistant bacteria isolated from Saudi Arabian patients in Taif city. Hence, simple methods were followed herein to...
moreThis study was carried out to detect the distribution of antibioticresistant genes in multi-antibiotic resistant bacteria isolated from
Saudi Arabian patients in Taif city. Hence, simple methods were
followed herein to isolate and characterize the antibiotic resistant
bacteria by the common phenotypic, morphological, biochemical and
molecular characters. Out of 200 cultures tested, 60 multidrug
resistant bacteria isolates were randomly chosen for isolating the
antibiotic resistance genes. About 47% of antibiotic resistant tested
bacteria were isolated from urine samples and 53% from stool. The
study further aimed to analyze antibiotic resistance rates against
commonly used antibiotics among bacterial population of urine and
stool samples. These bacterial isolates were identified and
categorized into eight species, Escherichia coli, Staphylococcus
aureus, Pseudomonas aeruginosa, Klebsiella pneumonia, Citrobacter
freundi, Enterobactur sakazakii, Salmonella sp. and Shigella sp. The
isolates exhibited resistance in decreasing order for Clindamycin
(83%), Penicillin G (69.6 %), Rifampin (64.7%), Cefotaxime
(53.6%), Cefaclor (51.7%), Ceftriaxone (47.2%), Nitrofurantoin
(44.2%), and Norfloxacin (39.7%). Maximum resistance to extendedspectrum β-lactam antibiotics occurred in 11.3% of isolates and the
production of extended spectrum β-lactamase was achieved by 3.5%
of isolates. Multiple resistances to three or more antimicrobial agents
were documented. PCR method was used to isolate the antibiotic
resistance genes for analyzing the molecular classification of these
isolates. It was based on CTX-M1, CTX-M2 and mecA genes which
were used for rapid assignment of bacteria into genera and species. The results indicate that all isolates harbor one or more of
antibiotic resistance genes and that the PCR technique is a fast,
practical and appropriate method for determining the presence of
antibiotic-resistance genes. Moreover, the similarity matrix and
differentiation between these isolates was studied dependent on
RAPD pattern using 8 different primers.