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Spatio-temporal dynamics of mutation avoidance and antimicrobial resistance

Lead Research Organisation: University of Manchester
Department Name: School of Biological Sciences

Abstract

Spontaneous mutations are the basis of evolutionary innovation. They are also central to diseases in higher organisms and the root of some of the most pressing medical problems that we face: antimicrobial resistance and cancer.

Mutations are usually detrimental for microbial cells. Therefore, cells have evolved to control mutations very tightly and DNA mutation rates are remarkably low. Yet mutations can be beneficial, for instance, a single point mutation in the right gene helps a cell to gain antibiotic resistance. Cells thus need mutations but just not too many.

We need deep understanding of how the number of mutations fluctuate with the internal and external cellular environment. Addressing such dynamical aspects of mutations in the natural environment is vital for understanding the survival, adaptation and evolution of all cells.

My previous work found that the rate of mutations is regulated by the environment associated with the cell-density: mutation rates decrease in dense populations up to 20-fold. Specifically, I discovered that crucial effectors of this environmental dependence of mutations are enzymes that enable cells to avoid mutations.

In this Fellowship I shall observe mutations in individual microbes growing in their native environment, community. Only studying individual cells growing in a dense community will give us an understanding of mutation dynamics in the real-world.

To accomplish my aims, I will combine live fluorescence microscopy, microfluidics, statistical modelling and interact with outstanding researchers from other disciplines.

I shall use the Escherichia coli K-12 model system and observe mobility of DNA repair proteins, which will enable me to count mutations in individual cells. This will tell us about cell-to-cell variation in the number of mutations and how such a heterogeneity depends on micro-environments generated in the community.

I will also quantify the molecular diffusion of mutation avoidance protein MutT in these micro-environments. I will establish the potential link between MutT dynamics and downstream processes involved in the generation of mutations.

I will do all this not only in cells during normal community growth, but also in cells that survive the antibiotic treatment without obtaining the genetic resistance. These tolerant and persistent cells start to divide again, after the antibiotic is removed. My study will determine dynamics of mutations in these survivor cells and how micro-environments, generated in the aftermath of the antibiotic treatment, affect their fate.

Understanding factors that affect a cell's capability to avoid and repair mutations is essential to better predict the development of mutation-based resistance in microbial communities and to exploit that understanding to combat antimicrobial resistance.

Generated knowledge, in years 1-4, will be used in years 5-7 to test how various drug candidates impact the mutation dynamics and fate of cells that survive antibiotic treatment. I will also apply these developed experimental approach to more clinically relevant strains.

Planned Impact

Who will benefit from this research and how?

The Fellowship shall transform the way we see a fundamental process of life, spontaneous mutation, using a microbial model system. Mutations impact society at a range of levels, from the development of antimicrobial resistance in clinical or livestock settings to the adaptation of agricultural soil microbiota to environmental change. This work is transformative of our understanding of the interplay between single-cell dynamics and evolution, understanding mutation as a dynamic, environmentally plastic trait. Its findings will therefore be of wide importance, well beyond the academic fields of those involved.


In particular, the following non-academic groups will benefit:

Healthcare professionals: Awareness of the antimicrobial resistance crisis is broad, but understanding of its causes is currently very limited. Healthcare professionals will benefit from increased understanding of spontaneous antibiotic resistance, which may lead to potentially resistance-suppressing antibiotic adjuvants.

General public: Public have frequently personal interest in combating disease and antimicrobial resistance and they have a real fascination with videos of living cells. My work is an ideal subject to engage in dialogue about antimicrobial resistance, single-cell dynamics and evolution, reinforcing and feeding these interests, thus promoting an interest in science generally.

Biotechnology companies: I aimed to develop links with biotechnology companies to determine if there are commercial applications for Fellowship's results.
 
Description My previous work shows that high-density bacterial populations have lower spontaneous mutation rates, a phenomenon named density-associated mutation rate plasticity (DAMP). FLF led to the discovery of the DAMP mechanism (Green et al. 2024, Plos Biology); the negative relationship between mutation rate and population density arises from the collective ability of microbial populations to control concentrations of hydrogen peroxide. We further show that E. coli exhibits DAMP in aerobic, but not anaerobic, conditions. Intriguingly, the reduction in mutation rate in denser populations is restored in peroxide degradation-deficient cells by the presence of wild-type cells in a mixed population.

We also show that increased mutation rates at low density are characterised by an increase in AT>GC transitions (Gifford et al. 2024, Microbiology). Also, deleting a Nudix gene nudJ causes a 6-fold mutation rate reduction relative to the wildtype with altered mutational spectrum (Green et al. 2025, Bioarxiv, in 1st revision). Interestingly, not only does nudJ deletion reduce the probability of antibiotic resistance arising but, in the case of rifampicin, the accessible resistance mutations under this altered mutation spectrum have greater fitness costs.

The main goal of the FLF, to gain a mechanistic understanding of DAMP, has been achieved. In terms of Objectives we have developed a 2D single-molecule localisation method enabling us to localise single molecules of fluorescently labelled bacterial proteins, while bacterial cells grow as a microfluidic community. We are preparing a manuscript that will describe DAMP at the single-cell level linking internal single-cell dynamics of various DNA repair proteins (FLF Objectives 1 and 2) with external microenvironments. In parallel, a manuscript is being prepared on spontaneous mutation rates in cells highly tolerant to antibiotics (persister cells) and their offspring (FLF's objective 3).
Exploitation Route Academically, FLF's outcomes have been essential for the direction of my FLF renewal (MR/Y033949/1), which is relevant for academics working in microbial evolution and ecology, microbiome and mixed communities, and antimicrobial resistance. FLF was also crucial for the success of my BBSRC Pioneer award (BB/Y513118/1), which is relevant for academics working in the infection of macrophages, antimicrobial resistance in Mycobacteria, and 3D single-molecule localisation microscopy. FLF's outcomes are also a core foundation for the (still pending) stage 2 BBSRC BBSRC 2024-25 strategic Longer and Larger grant proposal (where I am a Co-I), project is titled "Microbial Mutation: Mechanisms, Measurements, Models." FLF outcomes are also taken forward by three PhD students that I am a primary supervisor to, studying 1) mutation rate plasticity in bacterial viruses, 2) mutation rate plasticity in Mycobacteria and 3) mutation rates in persisters and their offspring.

As a founding member of the Microbial Evolution research in Manchester (MERman) and a representative of the University of Manchester AMR Network I co-wrote a response to Commons Select Committee's call for the evidence: "Antimicrobial resistance: addressing the risks", where we stated that the evolution is central to understanding when and how resistance emerges, spreads within and between patients, and how infections respond to treatment. In the response we identified three recommendations for change, showing how integrating evolutionary ideas will help address multiple research priorities in the 2024-2029 NAP.
Sectors Communities and Social Services/Policy

Pharmaceuticals and Medical Biotechnology

 
Description Interdisciplinary PhD studentships in Modelling, AI and Big Data
Amount £15,000 (GBP)
Organisation University of Manchester 
Sector Academic/University
Country United Kingdom
Start 08/2022 
End 02/2026
 
Description Microfluidic development to investigate living systems
Amount £9,903 (GBP)
Organisation Henry Royce Institute 
Sector Academic/University
Country United Kingdom
Start 12/2022 
End 07/2023
 
Description Mutation dynamics in intramacrophage pathogens: How a host-pathogen interaction affects antimicrobial resistance
Amount £165,932 (GBP)
Funding ID BB/Y513118/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 03/2024 
End 03/2026
 
Description Mutation rate plasticity in DNA viruses
Amount £23,873 (GBP)
Organisation Iraqi Government 
Sector Public
Country Iraq
Start 01/2023 
End 12/2027
 
Description Sequence-specific tracking of double-stranded DNA molecules in live bacterial cells
Amount £9,631 (GBP)
Organisation University of Manchester 
Sector Academic/University
Country United Kingdom
Start 02/2022 
End 07/2022
 
Description 3D microscopy 
Organisation University of Cambridge
Department Department of Chemistry
Country United Kingdom 
Sector Academic/University 
PI Contribution My group is transforming a high-end microscope (owned by the Bioimaging facility at the University of Manchester) into a light-filed microscope, a cutting edge 3D single molecule localisation microscope invented by Prof Steven Lee's group. We are carrying out all the experiments and purchasing all the optical components needed for the light-field microscope aiming to localise bacterial protein in three-dimensional space.
Collaborator Contribution in 2024 Steve and his postdoc Sam Daly (both Cambridge) hosted me and my PDRA Rebecca Palmer for three days. They showed us workings of their invention, a light-field microscope, and we used their microscope to image our samples. Steve and Sam are continue helping us to build the light-field microscope in my lab in Manchester.
Impact The collaboration is multi-disciplinary. Steve and Sam are physical chemists and microscopists, I am an evolutionary microbiologist with great enthusiasm for microscopy.
Start Year 2024
 
Description Bacteriophages 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution I am a primary supervisor of a PhD student Amal Alkhafaji, her four year studentship is funded by the Iraqi government. She is studying mutation rates in bacteriophages and how host (bacterial) density affects is. Amal carries out experiments in my lab and in the lab run by Claudia Igler (one of co-supervisors, the other co-supervisor is Prof Mike Brockhurst).
Collaborator Contribution Claudia Igler is co-supervising Amal and allowing Amal to work in her lab.
Impact None yet.
Start Year 2023
 
Description Electrical signalling in biofilms 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution I collaborate with Prof Thomas Waigh. I co-supervised (tough not officially) Tom's two PhD students. Tom was a primary supervisor of Emmanuel Akabuogu, who had a viva in 2023 and he is now a postdoc at the University in Manchester. Second PhD student Victor Martorelli will have a viva in April 2025. I have co-wrote so far four manuscripts with Tom (three were published and one still in review). In addition to two above students, I also officially co-supervised with Tom an MPhil student Adhvaidhi Kuntran (she graduated in 2024, now pursuing PhD in Germany). Me and Tom are writing grants together, we have so far submitted two proposals to BBSRC and we will submit one proposal in 2025 to MRC/EPSRC.
Collaborator Contribution Prof Thomas Waigh is a biophysicist studying biofilms. Our students do the biophysics work in his lab, while most of the microbiology is happening in my lab.
Impact 1. Akabuogu, E. U., et al. (2024). "Electrical Impedance Spectroscopy with Bacterial Biofilms: Neuronal-like Behavior." Nano Letters 24(7): 2234-2241. 2. Carneiro da Cunha Martorelli, V., et al. (2024). "Electrical signalling in three-dimensional bacterial biofilms using an agent-based fire-diffuse-fire model." Physical Review E 109(5): 054402. 3. Akabuogu, E. U., et al. (2024). Emergence of ion-channel mediated electrical oscillations in Escherichia coli biofilms, eLife Sciences Publications, Ltd. 4. Carneiro da Cunha Martorelli, V., et al. (2025). "AC electro-osmosis in bacterial biofilms: a cautionary tale for electrophysiology experiments." bioRxiv: 2025.2001.2022.634266.
Start Year 2021
 
Description Mathematical modelling of spatial mutagenesis 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution My group is doing single-molecule localisation and time-lapse microscopy of cells growing in microfluidic chambers to quantify mismatches/mutations and cell death. I also co-supervise an EPSRC-funded PhD student Alex Forsyth studying heterogeneity in quorum-sensing responses.
Collaborator Contribution Philip Pearce and his PDRA Andrei Sontag are running various mathematical models to predict spatial distribution of mismatches in microfluidic communities. Philip is also a co-supervisor of an EPSRC-funded PhD student Alex.
Impact Me and Philip are Co-Is on our pending stage 2 BBSRC Slola proposal.
Start Year 2022
 
Description Single-cell sequencing 
Organisation Earlham Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution We prepared all the samples that Earlham then sequenced.
Collaborator Contribution Collaborators Matt Bawn and Prof Neil Hall (director of Earlham) used different cutting-edge sequencing methods to sequence our samples.
Impact None yet.
Start Year 2022