ArticleFrontiers in microbiology2012
Synthetic feedback loop model for increasing microbial biofuel production using a biosensor.
Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 52 citations in OpenAlex.
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- Stress Introduction Rate Alters the Benefit of AcrAB-TolC Efflux Pumps.Journal of bacteriology · 2018Article
- Efflux Pump Control Alters Synthetic Gene Circuit Function.ACS synthetic biology · 2016Article
- Control theory meets synthetic biology.Journal of the Royal Society, Interface · 2016Review
- Computing the structural influence matrix for biological systems.Journal of mathematical biology · 2016Article
- Performing selections under dynamic conditions for synthetic biology applications.Integrative biology : quantitative biosciences from nano to macro · 2016Article
- Diatom milking: a review and new approaches.Marine drugs · 2015Review
- Aromatic inhibitors derived from ammonia-pretreated lignocellulose hinder bacterial ethanologenesis by activating regulatory circuits controlling inhibitor efflux and detoxification.Frontiers in microbiology · 2014Article
- Synthetic biology applications in industrial microbiology.Frontiers in microbiology · 2014Article
- Development of a native Escherichia coli induction system for ionic liquid tolerance.PloS one · 2014Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current biofuel production methods use engineered bacteria to break down cellulose and convert it to biofuel. A major challenge in microbial fuel production is that increasing biofuel yields can be limited by the toxicity of the biofuel to the organism that is producing it. Previous research has demonstrated that efflux pumps are effective at increasing tolerance to various biofuels. However, when overexpressed, efflux pumps burden cells, which hinders growth and slows biofuel production. Therefore, the toxicity of the biofuel must be balanced with the toxicity of pump overexpression. We have developed a mathematical model for cell growth and biofuel production that implements a synthetic feedback loop using a biosensor to control efflux pump expression. In this way, the production rate will be maximal when the concentration of biofuel is low because the cell does not expend energy expressing efflux pumps when they are not needed. Additionally, the microbe is able to adapt to toxic conditions by triggering the expression of efflux pumps, which allow it to continue biofuel production. Sensitivity analysis indicates that the feedback sensor model is insensitive to many system parameters, but a few key parameters can influence growth and production. In comparison to systems that express efflux pumps at a constant level, the feedback sensor increases overall biofuel production by delaying pump expression until it is needed. This result is more pronounced when model parameters are variable because the system can use feedback to adjust to the actual rate of biofuel production.
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