We use experiments, computer simulations, and theoretical calculations to understand how physical laws affect living organisms.
Our research in this area spans many length and time scales: from aqueous solutions of small bioactive molecules through proteins and DNA to single cells, cell-cell interactions, and collection of organisms in ecosystems, studying phenomena occurring at picoseconds to millions of years. Many experiments use optical techniques made available through COSMIC. In our wet labs (biological hazard containment level 1 and 2) we routinely work with bacteria such as E. coli, B. subtilis, and P. aeruginosa, as well as extremophile microbes that can survive at extremes of temperature, or pressure and can even eat rocks! We also use microfluidics and plate readers for high-throughput experiments, and neutron scattering for subcellular-resolution experiments.
Among the powerful resources accessed by our computer simulators and theorists is the computer cluster Eddie hosted by The Edinburgh Compute and Data Facility ECDF as well as the supercomputer ARCHER, and BlueGene-Q hosted by the Edinburgh Parallel Computing Centre (EPCC).
Much of the research is closely tied to our programme on soft matter and statistical physics and complexity. Funding comes from EPSRC, BBSRC, DTI, Scottish Enterprise, Wellcome Trust, The Royal Society, and the Royal Society of Edinburgh.
Physics of Living Matter forms part of the Scottish Universities Physics Alliance (SUPA) Physics and Life Sciences (PaLS) theme. The SUPA Graduate School offers annual Prize Studentships for PhD study (the typical deadline is end of January for entry in September).
All life is made of proteins - long chains of polymerized aminoacids which fold into complicated 3d structures with various shapes and functions. In order to function properly, a protein must fold into an appropriate configuration, otherwise it will not function properly and may result ina disease. Alzheimer's disease, Parkinson's disease are just two examples of what happens when a protein folds incorrectly. We use experiments and molecular dynamics simulations to investigate this self-assembly process of proteins. We are particularly interested in how this process can be affected by environmental factors. Besides proteins implicated in human diseases we investigate bacterial proteins which enable microbes to form "coats" protecting them from external stresses such as antibiotics.
DNA folding and transcription regulation
DNA is arguably one of the most important biopolymers, as its sequence encodes the genetic instructions needed in the development and functioning of living organisms. Within human nuclei, DNA is organised into chromatin, a fiber made up by histone proteins around which the DNA wraps essentially due to electrostatic interactions. Little is known either about the higher order structure of chromatin in the cell, or even how it self-assembles dynamically within the nucleus or even in the test tube.
Within ICMCS, we model DNA, chromatin and chromosomes at different levels of detail. Current projects involve modelling at different levels of resolution of chromosomes, or fractions thereof, in yeast, Drosophila (the fruit fly), and human. Finally, we plan to study the dynamics of such structures, and how the structures change when the genes are transcriptionally active or inactive.
Protein films & shells
Viruses have unique mechanical properties: they have to be strong enough to withstand the stresses involved in reaching their target in a host but fragile enough that disassembly and release of genetic material can be triggered by physicochemical stimulli on reaching the target. We are investigating the physical principles behind these mechanical properties using a combination of neutron spin echo spectroscopy. We also use our armoury of neutron & x-ray techniques to investigate the assembly of protein & peptide films at fluid interfaces.
Bacterial resistance to antibiotics has in 2013 been placed on the National Risk Register and we use neutron & x-ray reflectivity to identify unifying physical principles in the way in which peptides involved in controlling bacterial growth and cell division interact with bacterial membranes and how this is modulated by the cell's metabolic state via membrane potential. The molecular-scale experimental information is nicely complemented by coarse-grained molecular dynamics simulations.
Many cells are motile: unicellular organisms move around searching for food or evading toxic chemicals and predators, whereas eukaryotic (animal) cells such as the sperm or macrophages (white blood cells) search for the egg or invading microbes. We are interested how cytoskeleton dynamics (animal cells) or the rotation of the flagella (bacteria) is translated into the motion of the cell. This process involves physical interactions (hydrodynamics, adhesion) between the cell and its environment. We therefore investigate bacterial and sperm motility in different media using differential dynamic microscopy (DDM). We also develop theoretical and computer models of cellular motility.
We also use motile bacteria and algae as model 'active colloids' to study the physics of systems of self propelled particles. Current statistical mechanics offers no general recipe for determining the collective behaviour of such 'active matter', and experiments using well defined suspensions of motile microorganisms constitute a good source of data to guide theory development.
Bacterial colonies and biofilms
Bacteria often attach to surfaces and form colonies and biofilms. Surface-growing microbes are important in medicine (tooth plaque, infected catheters or implants) and industry (growth on food or in water distribution systems). Colonies of rod-shaped bacteria can also be viewed as the active nematics - an interesting counterpart to nematic liquid crystals. We are interested in how physical properties of bacterial cells and their environment affect how such colonies grow. We use experiments (microscopy) and computer simulations to address a variety of questions: what determined the shape of colonies and the orientation of cells in a growing colony, how colonies form multiple layers of cells, and how these processes affect the fate of new mutant bacteria occurring spontaneously in the colony. We also use agent-based simulations to predict the structure of bacterial biofilms under a variety of environmental conditions.
Microbial growth and evolution
Microbes (micro-size unicellular organisms such as bacteria) are able to grow in a wide range of conditions and utilize many different nutrients. Microbes can also grow in the presence of harmful chemicals such as antibiotics. We are interested in how physics and chemistry limit these capabilities. In particular, we investigate how bacteria respond and evolve resistance to antibiotics. In our research we use a combination of macro- and microfluidics experiments, computer simulations, and analytical calculations.
Life in Extreme Environments
All environments subject organisms to various combinations of physical and chemical stressors. We are interested in how life adapts to extreme conditions, for example in the deep subsurface or in newly available habitats, and how it copes with multiple extremes and energy limitation in such places. This work is primarily laboratory based as well as using environmental microbiology and modelling. Our work also involves studying what determines microbial community structure in extreme environments. This work has applications to understanding the limits of life on Earth and assessing the habitability of extreme environments on Earth and potentially elsewhere. For more details see UK Centre for Astrobiology.
Statistical-physics models of living systems
We use techniques borrowed from equlibrium and non-equilibrium statistical mechanics to study how complex systems of living organisms evolve in time and space. Among the systems we study are simple models of cultural evolution, the evolution of language, Darwinian evolution of spatially heterogeneous populations. See Statistical Physics and Complexity for more details.
Below is a list of some of the techniques we use in our research:
- Optical microscopy: brightfield, fluorescence, confocal
- Neutron scattering and reflectivity
- Molecular/Brownian dynamics/agent-based simulations
- Mathematical modelling: ordinary and partial differential equations, stochastic models
PhD project opportunities in Physics of Living Matter
- Bacteria Motility in Complex Media
- Biophysics of micro-organisms near surfaces
- Communal Living for Bacteria
- Evolution of antibiotic resistance in bacterial colonies
- How antibiotics work
- Microswimmers in Complex Fluids
- Multiple stable states in ecosystem development?
- Simulating how antibiotics kill persistent infections
- The physics of killing bacteria
- The physics of predation
- The use of mass spectrometry to probe the metamorphic protein Lymphotactin
- Using microfluidics to create highly parallelized biological physics experiments
- Virus Self-assembly: Structure, Dynamics and Mechanical Properties
- Why and How Proteins Stick to Each Other
People in Physics of Living Matter
Telephone numbers in the list below are shown as UK numbers. Callers from outside the UK should remove the leading zero and use the UK country code (+44).
gjackland [at] ed.ac.uk
rosalind.allen [at] ed.ac.uk
r.a.blythe [at] ed.ac.uk
|Aidan Brown||Chancellor's Fellow|
abrown20 [at] staffmail.ed.ac.uk
|Charles Cockell||Professor of Astrobiology|
c.s.cockell [at] ed.ac.uk
|Martin Evans||Professor of Statistical Physics|
m.evans [at] ed.ac.uk
cait.macphee [at] ed.ac.uk
|Davide Marenduzzo||Personal Chair in Computational Biophysics|
dmarendu [at] ph.ed.ac.uk
alexander.morozov [at] ed.ac.uk
w.poon [at] ed.ac.uk
simon.titmuss [at] ed.ac.uk
|Bartlomiej Waclaw||RSE Research Fellow|
bwaclaw [at] staffmail.ed.ac.uk
|Jochen Arlt||Research Fellow|
j.arlt [at] ed.ac.uk
mblow [at] staffmail.ed.ac.uk
cbrackle [at] ph.ed.ac.uk
|Martin Carballo Pacheco||PDRA|
martin.carballo [at] ed.ac.uk
angela.dawson [at] ed.ac.uk
susana.direito [at] ed.ac.uk
|Steven Gardner||Postdoctoral Research Associate|
steven.gardner [at] ed.ac.uk
ajepson2 [at] staffmail.ed.ac.uk
nick.koumakis [at] ed.ac.uk
|Thomas Le Goff||Postdoctoral Research Associate|
thomas.le-goff [at] ed.ac.uk
|Benno Liebchen||Marie Curie Fellow|
benno.liebchen [at] ed.ac.uk
elin.lilja [at] ed.ac.uk
vincent.martinez [at] ed.ac.uk
gmelaugh [at] ed.ac.uk
davide.michieletto [at] ed.ac.uk
ryan.morris [at] ed.ac.uk
francois.mouvet [at] epfl.ch
nikola.ojkic [at] ed.ac.uk
mschor [at] ed.ac.uk
jslinek [at] staffmail.ed.ac.uk
pschwend [at] staffmail.ed.ac.uk
s.tavaddod [at] ed.ac.uk
|Teun Vissers||Marie Curie Fellow|
t.vissers [at] ed.ac.uk
|Tiffany Wood||Director of the Edinburgh Complex Fluids Partnership|
tiffany.wood [at] ed.ac.uk
|Jean-Christophe Denis||Ogden-ECFP Outreach officer|
j.c.denis [at] ed.ac.uk
|Rebecca Brouwers||Postgraduate Student|
s1529080 [at] sms.ed.ac.uk
|Francesco Cagnetta||Postgraduate Student|
s1670524 [at] sms.ed.ac.uk
|Giulio De Magistris||Postgraduate Student|
s1356442 [at] sms.ed.ac.uk
|Martina Foglino||Early Stage Researcher|
mfoglino [at] staffmail.ed.ac.uk
|Mark Fox-Powell||Postgraduate Student|
m.fox-powell [at] ed.ac.uk
|Jay Gillam||Postgraduate Student|
j.e.gillam [at] sms.ed.ac.uk
|Tom Ives||Postgraduate Student|
s0935333 [at] sms.ed.ac.uk
|Hanna Landenmark||Postgraduate Student|
s1046113 [at] sms.ed.ac.uk
|Iva Manasi||Postgraduate Student|
s1374036 [at] sms.ed.ac.uk
|Laura McKinley||Postgraduate Student|
l.e.mckinley [at] ed.ac.uk
|Alexander McVey||Postgraduate Student|
a.f.mcvey [at] ed.ac.uk
|Eoin Ó Laighléis||Postgraduate Student|
s1668844 [at] sms.ed.ac.uk
|Chay Paterson||Postgraduate Student|
s1338295 [at] sms.ed.ac.uk
|Toby Samuels||Postgraduate Student|
s1360327 [at] sms.ed.ac.uk
|Alexander Slowman||Postgraduate Student|
s1271420 [at] sms.ed.ac.uk
|Daniel Taylor||Postgraduate Student|
daniel.taylor [at] ed.ac.uk
|Stuart Thomson||Postgraduate Student|
s0828679 [at] sms.ed.ac.uk
|Joshua Williams||Postgraduate Student|
s1461461 [at] sms.ed.ac.uk
|Ellen Young||Postgraduate Student|
s1652326 [at] sms.ed.ac.uk
|Xuemao Zhou||Postgraduate Student|
s1461318 [at] sms.ed.ac.uk