Summary
Research into the mechanisms and dynamics of bacterial heteroresistance to antibiotics, aiming to improve detection and treatment outcomes for resistant infections.
Project 1: Mechanisms, Dynamics, and Prediction of Heteroresistance
US · IL
NIH
grant
awarded
#nih-5U19AI158080-05
What they want
Investigate the key genetic, physiological, and environmental processes and signals that govern the generation, maintenance, and recession of resistant bacterial subpopulations. The study will use clinical isolates of Enterobacteriaceae (E. coli, K. pneumoniae, Enterobacter spp) and A. baumannii to understand how subpopulation traits influence bacterial behavior and evolution, how heteroresistance is generated by Copy Number Variation (CNV), the mechanisms and dynamics of CNV, and how heteroresistance may be predicted from whole genome sequencing data.
Deliverables
- Broadened understanding of how traits exhibited by a subpopulation of cells are generated and influence bacterial population behavior and evolution
- Understanding of how heteroresistance is generated by Copy Number Variation (CNV)
- Understanding of the mechanisms and dynamics of CNV
- Understanding of how heteroresistance may be predicted from whole genome sequencing data
