This National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) Project Grant award of $2,055,910 to Georgia TECH Research Corp (Office of Sponsored Programs) will fund research to develop new theory and predictive models for understanding how virulence and transmission evolve in environmentally-derived opportunistic bacterial pathogens. The 5-year project aims to build an extensive library of clinical and environmental strains of the model pathogen Pseudomonas aeruginosa, and use a combination of machine learning and mathematical modeling to (1) predict strain-specific virulence, transmission, and environmental origins, and (2) forecast the evolution of virulence and transmission as a function of environmental factors and ancestral genotypes. This work seeks to enhance predictive capabilities for epidemiological modeling and control of these types of opportunistic pathogens, which are an increasing global health concern.
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