This research investigates how Pseudomonas aeruginosa adapts to drinking water systems before causing human infections. By identifying a previously unknown gene essential for biofilm formation and survival, the work provides new insight into how dangerous bacteria prepare for infection and reveals potential targets for preventing disease before it develops.

This research investigates how MRSA loses its antibiotic resistance by shedding the SCCmec genetic element. Environmental stressors such as heat and dryness increase this vulnerability, while antibiotics alone reinforce resistance. Understanding these mechanisms could enable new strategies to reverse resistance and improve treatment options for life-threatening MRSA infections.

Antibiotic resistance threatens to return medicine to a pre-antibiotic era. This research uses machine learning to study how bacteria balance resistance to antibiotics and bacteriophages. By revealing genetic trade-offs between attack and defense, the work enables smarter combination therapies that exploit bacterial weaknesses and prevent otherwise deadly infections.