Genotyping and Antibiotic Resistance Analysis of Staphylococcus aureus Clinical Isolates from Urinary Tract Infection Xuan, Xianglan Department of Clinical Laboratory Science, the Graduate School, Catholic University of Pusan Advisor : Professor Kim, ...
Genotyping and Antibiotic Resistance Analysis of Staphylococcus aureus Clinical Isolates from Urinary Tract Infection Xuan, Xianglan Department of Clinical Laboratory Science, the Graduate School, Catholic University of Pusan Advisor : Professor Kim, Sunghyun Ph.D. Staphylococcus aureus (S. aureus) is a common bacteria that causes mild skin infections as well as potentially deadly infections. T he main worry with S. aureus infections is the growing antimicrobial resistance (AMR) caused by methicillin-resistant S. aureus (MRSA), which is resistant to β-lactam antibiotics and multidrugs. The mecA gene is found within the Staphylococcal Cassette Chromosome mec (SCCmec), and its classification as a specific type of SCCmec is dete rmined by the size of the DNA fragment. Defining SCCmec type is c ritical since this mobile genetic element contains a variety of unique gene complexes, resulting in varying methods and levels of resistanc e. A urinary tract infection (UTI) is described as the presence of bac teria in urine, which causes infections in the urinary system, includin g the ureter, bladder, or kidney. Urine catheterization is contributes to an increase in the incidence of UTIs caused by S. aureus. The prese nt study aims to elucidate the particular patterns of MRSA clinical is olates associated with urinary tract infections, as well as describe the entire SCCmec sequence patterns and conduct an intensive whole gen ome sequencing data analysis. Epidemiology of MRSA clones is dete rmined by the unique SCCmec element found inside them. Additionall y, to supplement the previous SCCmec typing approach with whole g enome sequencing (WGS) data in order to generate comprehensive da ta, including insights on AMR for further clinical research. Therefore, compared to antimicrobial susceptibility test (AST), WGS offered a m ore comprehensive detection of AMR gene data. Clinically and epidem iologically, the isolates' pathogenicity would have been underestimated if AST had been the only method used. Consequently, in situations w here there is genetic variety or mobile element variability, WGS offer s a more thorough and accurate analysis of virulence gene transmissi on. Furthermore, pathogens like S. aureus, especially MRSA, which d eveloped into MDR, are still responsible for the global problem of anti biotic resistance. We contrasted the conventional AST approach with WGS because it has been proposed that MRSA might be linked at th e molecular level. While certain SCCmec elements in this study could not be typed using previously designed PCR primers, next generation sequencing (NGS) analysis verified that they were SCCmec IVc. Sequ ence variability within the SCCmec cassette, specifically in the joining (J) region, is assumed to be the cause of this difference. The study c onfirms that using the same primer set consistently is not feasible du e to the ongoing evolution of clinical pathogens. Consequently, it mig ht be more accurate to do WGS across time in order to gather evolut ionary information. Keywords: Staphylococcus aureus, MRSA, SCCmec, Whole genome sequencing, Antimicrobial resistance