SysMO Pseudomonas (Martins dos Santos)-Westerhoff

Lead Research Organisation: University of Manchester
Department Name: Chem Eng and Analytical Science

Abstract

The chemical industry has been and is highly important to human society. It produces many of the substances that are used on a daily basis. Some chemical production processes are far from self-sustaining or closed; they require the input of much energy and much material, both of which are getting scarcer. In addition they may shed catalysts, waste, carbon dioxide and heat into the environment, which tends to be saturated with some of these effects, even at a global level. Certain biological processes are known to be more self-sustaining. Therefore, white biotechnology, which implements bacteria and yeasts as 'factories', is increasingly considered as a possible alternative to some chemical production processes. The design and management of a chemical factory already being difficult, the engineering and controlling of living organisms is even more so. First, living organisms do not usually thrive under conditions of the traditional chemical processes. Second, they are full of homeostatic mechanisms by which they actively resist attempts to make them do precisely what the engineer wants them to do. And third, any new biotechnological process will have to be competitive as compared to the already existing and optimized processes in the chemical industry. And then an issue that has become clear only relatively recently is the fact that the engineering of a single components of a living organism will not suffice, as organisms operate on the basis of complex, hierarchical networks of many molecules. Until recently, it has been impossible to understand the networks that steer living organisms, because they consist of hundreds of components that interact in highly complex ways. The newly developing science Systems Biology combines quantitative experimentation with mathematical approaches in order to understand the complex networks of living organisms. This project will develop a Systems Biology approach to white biotechnology in the organism Pseudomonas putida. This organism is already rather robust with respect to many types of stress, and thereby potentially a good cell factory. A large network of scientific groups from laboratories in four European countries will undertake this highly challenging research program.

Technical Summary

White Biotechnology (the exploitation of the catalytic properties of microorganisms for industrial applications) is increasingly recognized as one of the pillars of the knowledge-base Economy that Europe is bound to drive into. The purpose of this Project is to develop the necessary knowledge base and the material and conceptual (computational) resources to establish the Gram negative soil bacterium Pseudomonas putida strain KT2440 as the vehicle for implementing biological activities into a whole range of industrially-related processes. This includes hyperproduction of enzymes for cell-free biocatalysis biopolymer and secondary metabolite production, bioremediation and even plant protection and growth promotion among others. P. putida, moreover is unusually tolerant of physico-chemical conditions relevant to industrial processes, such as solvents, hydrophobic substances/2-phase systems, low pH, low temperature, chaotropic compounds like urea, etc. Nevertheless, engineered biotechnological applications invariably impose unnatural, sometimes severe stresses on the cell that reduce performance and select compensatory changes. The specific goal of this proposal is therefore to exploit the full biotechnological efficacy of Pseudomonas putida KT2440 by developing new optimization strategies that achieve quantum increases in cell factory performance through a systems biology understanding of key metabolic and regulatory parameters that control cellular responses to key stresses generated during biotechnological application of this versatile bacterium.
 
Description We found that mathematical models can be made of the carbon and energy metabolism of this type of industrially relevant microorganisms. This helped in making other models that describe metal toxicity. It also fed into a parallel project developing a new systems methodology called domino systems biology, and it served as an example for high-compute modelling of metabolism.
Exploitation Route Scientific publications
Sectors Education,Manufacturing, including Industrial Biotechology

 
Description Ourselves and others have read the publications. Modelling is now much more used in industry.
Sector Digital/Communication/Information Technologies (including Software),Education,Manufacturing, including Industrial Biotechology,Other
Impact Types Economic

 
Title Candidate pathway finding 
Description Steatosis or fatty liver disease is an important disease sometimes leading to hepatocarcinoma. Most researchers engaged in genomics are searching for so-called candidate genes in their data, which then should identify single-gene causes and single target strategies. We have developed a way to identify/examine 'candidate pathways'. More inn general, the portfolio of projects ahs led to a great increase in number of detailed kinetic models of metabolic pathways (as reported in JWS-Online). these are now of great use for other organisms and the same pathways or other pathways in the same organisms. All these models are also of use for the development of the Infrastructure Systems Biology Europe (ISBE). 
Type Of Material Model of mechanisms or symptoms - human 
Year Produced 2016 
Provided To Others? Yes  
Impact This is now used in multiple research projects. Through JWS online and BioModels our models are used by many.