Authors:

Megan Mahon

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About Paper:

The development of antibiotic resistance by opportunistic pathogens is a growing concern in healthcare. Although resistance is naturally occurring, the overuse of antibiotics has affected the efficacy and reliability of antibiotics to treat infections and is accelerating resistance rates. This project investigates the genomic evolution of antibiotic resistance under selective pressure among strains of bacteria collected during antibiotic and chemotherapy administration for Acute Myeloid Leukemia (AML). Stool samples and infection isolates were longitudinally collected from treated AML patients. 16S amplicon- sequencing was used to identify stool samples that could be colonized with antibiotic resistant pathogens. Selective and differential media along with MALDI-TOF and VITEK2 were used to extract and identify antibiotic resistant pathogens. DNA was extracted from the bacterial isolates, and whole genome sequencing analysis was performed to understand genetic mutations leading to antibiotic resistance or virulence within patient longitudinal isolates. A species and antibiotic frequently seen to cause a specific genetic change across multiple patients was selected for in vitro analysis. The in vitro genetic changes were compared to that of the in vivo patient data. Understanding the genetic changes that lead to antibiotic resistance in bacteria under antibiotic selective pressure may help inform antimicrobial stewardship practices and improve the outcomes of cancer patients. Poster #3 Binding-Induced DNA Assembly for Detection of SARS-CoV-2 Caitlyn Mutchler

Source:

Texas A&M University / 2024

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Co-authors:

Megan Mahon