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Engineering Synthetic Microbial Communities for Biomethane Production

Reference Number
BBS/E/T/000GP016
Title
Engineering Synthetic Microbial Communities for Biomethane Production
Status
Completed
Energy Categories
Renewable Energy Sources(Bio-Energy, Production of transport biofuels (incl. Production from wastes))
Renewable Energy Sources(Bio-Energy, Production of other biomass-derived fuels (incl. Production from wastes))
Research Types
Basic and strategic applied research
Science and Technology Fields
BIOLOGICAL AND AGRICULTURAL SCIENCES (Biological Sciences)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Dr D Swarbreck
Bioinformatics
The Genome Analysis Centre (TGAC)
Award Type
Institute Project
Funding Source
BBSRC
Start Date
08 April 2013
End Date
07 April 2018
Duration
60 months
Total Grant Value
£40,200
Industrial Sectors
Transport Systems and Vehicles
Region
East of England
Programme
Investigators
Principal Investigator
Dr D Swarbreck, Bioinformatics, The Genome Analysis Centre (TGAC)
Web Site
Objectives
Objectives not supplied
Abstract
Complex microbial communities underlie natural processes such as global chemical cycles and digestion in higher animals, and are routinely exploited for industrial scale synthesis, waste treatment and fermentation. Our basic understanding of the structures, stabilities and functions of such communities is limited, leading to the declaration of their study as the next frontier in microbial ecology, microbiology, and synthetic biology. Focusing on biomethane producing microbial communities, we will undertake a two-tiered approach of optimising natural communities and designing synthetic communities with a focus on achieving robust, high-yield biomethane production. Within this biotechnological framework, our proposal will address several fundamental scientific questions on the link between the structure and function of microbial communities.
We will apply group selection on natural BMCs to improve biomethane productivity and characterize these communities through next generation sequencing to determine how communities change in response to selection, and whether significant evolutionary change has occurred in the transcriptomes of focal species. Additionally we will take a complementary approach to experimentally build synthetic BMCs from the bottom-up. We will utilise both kinetic modelling and FBA to rationally design small BMCs and then experimentally implement. The starting point for both flux balance analysis (FBA) and experimental work will be an existing co-culture that is capable of converting lactate into methane19. The engineered communities and their temporal behaviour will be analysed using genomics and transcriptomics approaches. Both natural BMCs and engineered ones will be tested for performance and stability in scaled up mid-sized reactors. Testing their performance and stability in industrially relevant conditions and extending the scope of the research towards a knowledge-based microbial biomethane production industry.
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Added to Database
01/12/14