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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

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Why This Research Matters

This research addresses the urgent global health threat posed by antimicrobial resistance, especially as climate change alters environmental conditions. Results will help predict and manage the spread of resistance genes in natural and clinical environments by informing targeted intervention strategies.

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

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

Eligibility

UK/Home
EU
International

Supervisor Profile

DD
Dr Daniel Padfield
AGH University of Science and Technology, Department of Biosciences
3000 Citations
25 h-index
Google Scholar

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

2018
Stimuli-Responsive Metal–Organic Architectures with Tunable Porosity
Demonstrated how external stimuli can reversibly modulate porosity in metal-organic frameworks enabling controlled gas uptake.
2016
Design Principles for Adaptive Molecular Cages
Provided a framework for synthesizing molecular cages that respond dynamically to environmental triggers.
2019
Dynamic Supramolecular Assemblies for Selective Gas Capture
Showed selective and reversible binding of gases using dynamic supramolecular materials.