Award details

Mathematical modelling of microbial adaptation and interaction

Reference	BBS/E/F/00042266
Principal Investigator / Supervisor	Professor Jozsef Baranyi
Co-Investigators / Co-Supervisors	Professor Jay Hinton, Professor Arjan Narbad
Institution	Quadram Institute Bioscience
Department	Quadram Institute Bioscience Department
Funding type	Research
Value (£)	987,402
Status	Completed
Type	Institute Project
Start date	01/04/2005
End date	31/03/2010
Duration	60 months

Abstract

This project is part of the programme Physiology and predictive ecology of foodborne pathogens. The overall aim of the project is to provide a platform for fully quantitative microbiology. We focus on the stochastic and dynamic modelling of bacterial kinetics, extending it to yet unexplored areas, and applying novel techniques. Work on the modelling of lag time will now include molecular microbiology techniques and results, and will study microbial interactions in mixed cultures both at population and single cell level. Key objectives include: - Extension and development of ComBase and related software tools. This activity follows the well-established predictive microbiology approach having been successfully applied in the past.- Modelling microbial interactions at single cell level, using stochastic modelling techniques. Research with pure cultures will be extended to include interactions between single cells in mixed populations. - Using biostatistics tools to evaluate Microarray data and model gene expression during periods of microbial adaptation. - Developing a new approach to characterise microbial populations as complex networks. This research has new potential when applied to describe complex microbial ecology (in food, in GI tract). It will be developed in strong collaboration with partners in the US. Our research therefore integrate modelling approaches at different levels of microbiology: (1) the microbial population level (see the ComBase database on microbial responses to the food environment and related computational tools and models at www.combase.cc); (2) the single cell level (see the Bacanova project outcome and Varibase database on http://www.ifr.ac.uk/bacanova/); (3) the molecular levels (see the Gencom tool and related research to analyse Microarray data at http://www.ifr.ac.uk/safety/gencom/).

Summary

unavailable

Committee	Closed Committee - Agri-food (AF)
Research Topics	Microbial Food Safety, Microbiology, Systems Biology, Technology and Methods Development
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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