Uropathogenic Escherichia coli (UPEC) are a major cause of urinary tract infections (UTI) and sepsis. Recently, a highly virulent clone of UPEC (E. coli ST131) that is resistant to multiple types of antibiotics has emerged worldwide. This project addresses the mechanisms by which E. coli ST131 can colonise the urinary tract and cause disease. The outcomes of this project will be a better understanding of how E. coli ST131 causes disease, and potentially new treatment regimes for UTI.
Functional And Genomic Analysis Of The Globally Disseminated Multidrug Resistant Escherichia Coli ST131 Clone
Funder
National Health and Medical Research Council
Funding Amount
$825,537.00
Summary
Uropathogenic Escherichia coli (UPEC) is a major cause of urinary tract infections (UTI) and sepsis. Recently, a highly virulent clone of UPEC (E. coli ST131) that is resistant to multiple types of antibiotics has emerged and spread worldwide. This project uses genomic and high-throughput functional analysis methods to understand E. coli ST131 virulence and resistance. The outcomes of the work will be a better understanding of how E. coli ST131 causes disease, and potentially new treatment regim ....Uropathogenic Escherichia coli (UPEC) is a major cause of urinary tract infections (UTI) and sepsis. Recently, a highly virulent clone of UPEC (E. coli ST131) that is resistant to multiple types of antibiotics has emerged and spread worldwide. This project uses genomic and high-throughput functional analysis methods to understand E. coli ST131 virulence and resistance. The outcomes of the work will be a better understanding of how E. coli ST131 causes disease, and potentially new treatment regimes for UTI.Read moreRead less
Pathogenomics: New Ways To Exploit Genome Sequence Data From Pathogenic Bacteria.
Funder
National Health and Medical Research Council
Funding Amount
$547,372.00
Summary
Bacterial pathogens are locked in an evolutionary battle of survival with their eukaryote hosts. The rapidly evolving genes of medically-important pathogens are generally those required for adaptation to the human host. This project aims to exploit the abundance of available bacterial genome sequences to predict rapid evolution in bacterial pathogens using computational methods. The protein products of such genes offer novel targets for therapeutic intervention.