Dr. Dave Whitworth:
Dave’s research investigates the molecular mechanisms responsible for bacterial behaviours, particularly how they perceive and respond to changes in their environment. His experimental work primarily focuses on the myxobacteria – predatory members of the soil microbial community. Populations of myxobacterial cells are able to synchronise their behaviours, resulting in co-operative ‘wolf-pack’ type predation. Their ability to kill a broad range of other microbes (including clinically relevant pathogenic bacteria) is being investigated using a range of ‘omics approaches, with a view to identifying novel antimicrobial gene products for exploitation in the clinic.
Dr Chris Creevey:
Chris’ interests include development of novel computational approaches for understanding the complex interaction of the host-associated microbiomes. This involves the analysis of Metagenomic and metatranscriptomic data from microbial communities assessing how ecological “rules” may work in microbial communities. He also has a long term interest in phlyogenetics and phylogenomics, and in the development of novel approaches for evolutionary analyses.
More can be found at: http://www.creeveylab.org/
Dr. Gordon Allison:
Gordon’s primary research focuses on the characterisation of plant cell wall architecture and chemical composition, and Gordon is particularly interested in how differences in these parameters affect the thermochemical and biological conversion of feedstocks to fuel, energy and products. This knowledge is essential if we are to sustainably replace use of fossil fuel reserves by utilising forest and energy crop feed stocks. Gordon’s research utilises a wide range of analytical methods and techniques, in particular gas chromatography / mass spectrometry, HPLC and ion-chromatography, infrared spectrometry, Raman spectroscopy imaging, and thermogravimetric analysis. Gordon utilises the large and complex data sets generated by these methods to develop multivariate models that reveal underlying patterns or are able to predict parameters that are difficult or expensive to measure using traditional means.
Other PIs include:
Prof. Luis Mur:
Dr. Ifat Parveen Shah:
Dr. Martin Swain:
Dr. Russ Morphew: