Design of Microbial Consortia for Industrial Biotechnology

Barton, Paul

Title:

Design of Microbial Consortia for Industrial Biotechnology

dc.contributor.author	Barton, Paul
dc.contributor.corporatename	Georgia Institute of Technology. School of Chemical and Biomolecular Engineering	en_US
dc.contributor.corporatename	Massachusetts Institute of Technology. Department of Chemical Engineering	en_US
dc.date.accessioned	2014-09-26T18:53:39Z
dc.date.available	2014-09-26T18:53:39Z
dc.date.issued	2014-09-17
dc.description	Presented on September 17, 2014 from 4-5 pm in room G011 of the Molecular Science and Engineering Building.	en_US
dc.description	Runtime: 62:11 minutes
dc.description.abstract	Large-scale production using microorganisms has long been recognized as a promising source for sustainable fuels and chemicals. However, monocultures optimized for high metabolic production in a sterile laboratory environment are often not economical at production scale due to high costs of capital and substrates, lack of resilience and stability of the culture, etc. On the other hand, most microorganisms in natural environments do not live in isolation, but exist as part of complex, dynamically changing, microbial consortia. These natural consortia exhibit high productivity combined with high resilience to invasion and can process a wide range of readily available substrates. Hence, synthesis of artificial biological process systems based on microbial consortia seems a promising approach to low cost sustainable production of fuels and chemicals. Nevertheless, it remains a great challenge to realize such multispecies cultures in industrial applications. Using algal production of fuels and chemicals as an illustrative example, we outline a roadmap towards the quantitative design and optimization of low cost resilient artificial ecologies based on microbial consortia. To address this challenge, multi-scale models are proposed, which integrate metabolic information available from high-throughput experiments with the ecological scale of the interactions between multiple species and the process scale of bioreactors. These models are formulated as dynamic systems with optimization problems embedded, and progress towards numerical tools for simulation, sensitivity analysis and optimization will be reported. The long-term goal is a quantitative approach that will enable chemical engineers to design artificial ecologies for a desired purpose in much the same manner as a traditional chemical process.	en_US
dc.embargo.terms	null	en_US
dc.format.extent	62:11 minutes
dc.identifier.uri	http://hdl.handle.net/1853/52395
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.ispartofseries	School of Chemical and Biomolecular Engineering Seminar Series	en_US
dc.relation.ispartofseries	School of Chemical and Biomolecular Engineering Seminar Series
dc.subject	Dynamic flux balance analysis	en_US
dc.subject	Metabolic networks	en_US
dc.subject	Microbial consortia	en_US
dc.subject	Multi-scale models	en_US
dc.subject	Synthetic ecology	en_US
dc.title	Design of Microbial Consortia for Industrial Biotechnology	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.corporatename	School of Chemical and Biomolecular Engineering
local.contributor.corporatename	College of Engineering
local.relation.ispartofseries	School of Chemical and Biomolecular Engineering Seminar Series
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