Outputs (5)

Modelling the impact of wastewater flows and management practices on antimicrobial resistance in dairy farms (2024)
Journal Article

Dairy slurry is a major source of environmental contamination with antimicrobial resistant genes and bacteria. We developed mathematical models and conducted on-farm research to explore the impact of wastewater flows and management practices on antim... Read More about Modelling the impact of wastewater flows and management practices on antimicrobial resistance in dairy farms.

Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control (2022)
Journal Article

Waste from dairy production is one of the largest sources of contamination from antimicrobial resistant bacteria (ARB) and genes (ARGs) in many parts of the world. However, studies to date do not provide necessary evidence to inform antimicrobial res... Read More about Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control.

A generalised model for generalised transduction: the importance of co-evolution and stochasticity in phage mediated antimicrobial resistance transfer (2020)
Journal Article

© FEMS 2020. Antimicrobial resistance is a major global challenge. Of particular concern are mobilizable elements that can transfer resistance genes between bacteria, leading to pathogens with new combinations of resistance. To date, mathematical mod... Read More about A generalised model for generalised transduction: the importance of co-evolution and stochasticity in phage mediated antimicrobial resistance transfer.

Reconstructing promoter activity from Lux bioluminescent reporters (2017)
Journal Article

The bacterial Lux system is used as a gene expression reporter. It is fast, sensitive and non-destructive, enabling high frequency measurements. Originally developed for bacterial cells, it has also been adapted for eukaryotic cells, and can be used... Read More about Reconstructing promoter activity from Lux bioluminescent reporters.

A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters (2016)
Journal Article

Biolog phenotype microarrays enable simultaneous, high throughput analysis of cell cultures in different environments. The output is high-density time-course data showing redox curves (approximating growth) for each experimental condition. The softwa... Read More about A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters.