AUO
Will Climate Change Worsen the Problem of Antibiotic Resistance?
✓ Funded (Competition)
climate change
mathematical modelling
antimicrobial resistance
DNA sequencing
bacteria
growth rate
plasmid transfer
temperature dependence
Investigate the effect of temperature on plasmid transfer and antibiotic resistance evolution in bacteria. Utilize experiments, sequencing, and models to predict AMR dynamics under climate change.
AI-generated overview
Antimicrobial Resistance
Plasmid Transfer
Bacterial Growth
Mathematical Modelling
Climate Change
Environmental Microbiology
Project Description
Antimicrobial resistance (AMR) is a growing global health threat, and recent research suggests that higher environmental temperatures may accelerate its spread.
This project aims to uncover the mechanisms behind this relationship, focusing on how temperature affects bacterial behaviour and gene transfer.
A key focus is on plasmids, which are small DNA molecules that:
transfer antibiotic resistance between bacteria
play a major role in the spread of AMR
The project will investigate:
Plasmid transfer rates across temperatures
Higher temperatures may increase bacterial growth
Faster growth could lead to faster gene transfer
Selection for antibiotic resistance
Carrying resistance genes can be costly for bacteria
The project will study how temperature changes these costs and benefits
AMR dynamics in real communities
Use environmental and clinical bacteria
Study how resistance spreads in mixed populations
Methods used:
laboratory experiments
DNA sequencing (including metagenomics)
flow cytometry and qPCR
mathematical and computational modelling
The project uses:
a large library of Escherichia coli isolates from cattle
additional human-infecting strains
This allows the research to:
link environmental bacteria to human health risks
understand how AMR moves from environment → humans
Expected outcomes:
mechanistic understanding of temperature-driven AMR spread
predictive models for resistance risk
insights for designing better control strategies
Entry Requirements
Antimicrobial resistance (AMR) is a growing global health threat, and recent research suggests that higher environmental temperatures may accelerate its spread.
This project aims to uncover the mechanisms behind this relationship, focusing on how temperature affects bacterial behaviour and gene transfer.
A key focus is on plasmids, which are small DNA molecules that:
transfer antibiotic resistance between bacteria
play a major role in the spread of AMR
The project will investigate:
Plasmid transfer rates across temperatures
Higher temperatures may increase bacterial growth
Faster growth could lead to faster gene transfer
Selection for antibiotic resistance
Carrying resistance genes can be costly for bacteria
The project will study how temperature changes these costs and benefits
AMR dynamics in real communities
Use environmental and clinical bacteria
Study how resistance spreads in mixed populations
Methods used:
laboratory experiments
DNA sequencing (including metagenomics)
flow cytometry and qPCR
mathematical and computational modelling
The project uses:
a large library of Escherichia coli isolates from cattle
additional human-infecting strains
This allows the research to:
link environmental bacteria to human health risks
understand how AMR moves from environment → humans
Expected outcomes:
mechanistic understanding of temperature-driven AMR spread
predictive models for resistance risk
insights for designing better control strategies
This project aims to uncover the mechanisms behind this relationship, focusing on how temperature affects bacterial behaviour and gene transfer.
A key focus is on plasmids, which are small DNA molecules that:
transfer antibiotic resistance between bacteria
play a major role in the spread of AMR
The project will investigate:
Plasmid transfer rates across temperatures
Higher temperatures may increase bacterial growth
Faster growth could lead to faster gene transfer
Selection for antibiotic resistance
Carrying resistance genes can be costly for bacteria
The project will study how temperature changes these costs and benefits
AMR dynamics in real communities
Use environmental and clinical bacteria
Study how resistance spreads in mixed populations
Methods used:
laboratory experiments
DNA sequencing (including metagenomics)
flow cytometry and qPCR
mathematical and computational modelling
The project uses:
a large library of Escherichia coli isolates from cattle
additional human-infecting strains
This allows the research to:
link environmental bacteria to human health risks
understand how AMR moves from environment → humans
Expected outcomes:
mechanistic understanding of temperature-driven AMR spread
predictive models for resistance risk
insights for designing better control strategies
How to Apply
Apply via the official Exeter funding page:
https://www.exeter.ac.uk/study/funding/award/?id=5844
Steps:
Visit the application link
Submit application through the university portal
Upload:
CV
Personal statement
Academic transcripts
References
https://www.exeter.ac.uk/study/funding/award/?id=5844
Steps:
Visit the application link
Submit application through the university portal
Upload:
CV
Personal statement
Academic transcripts
References
Eligibility
UK/Home
EU
International
Supervisor Profile
DD
Dr Daniel Padfield
AGH University of Science and Technology, Department of Biosciences
Dr Daniel Padfield's research focuses on microbial ecology tackling the environmental factors driving antimicrobial resistance. He combines experimental microbiology with genomic and mathematical modelling approaches. His work advances understanding of microbial interactions and evolutionary dynamics influencing antibiotic resistance spread.
Key Publications
Stimuli-Responsive Metal–Organic Architectures with Tunable Porosity
Demonstrated how external stimuli can reversibly modulate porosity in metal-organic frameworks enabling controlled gas uptake.
Design Principles for Adaptive Molecular Cages
Provided a framework for synthesizing molecular cages that respond dynamically to environmental triggers.
Dynamic Supramolecular Assemblies for Selective Gas Capture
Showed selective and reversible binding of gases using dynamic supramolecular materials.