The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
Microbial production of advanced biofuels
Open accessAbstract
Concerns over climate change have necessitated a rethinking of our transportation infrastructure. One possible alternative to carbon-polluting fossil fuels is biofuels produced by engineered microorganisms that use a renewable carbon source. Two biofuels, ethanol and biodiesel, have made inroads in displacing petroleum-based fuels, but their uptake has been limited by the amounts that can be used in conventional engines and by their cost. Advanced biofuels that mimic petroleum-based fuels are not limited by the amounts that can be used in existing transportation infrastructure but have had limited uptake due to costs. In this Review, we discuss engineering metabolic pathways to produce advanced biofuels, challenges with substrate and product toxicity with regard to host microorganisms and methods to engineer tolerance, and the use of functional genomics and machine learning approaches to produce advanced biofuels and prospects for reducing their costs. Biofuels produced by conversion of biomass by engineered microorganisms have the potential to replace fossil fuels and reduce carbon emissions. In this Review, Keasling and colleagues discuss engineering of metabolic pathways to produce advanced biofuels and approaches to reduce metabolite toxicity and cost and increase titre, rate and yield.
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Cites
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Cited by
LaFleur, T. L., Hossain, A., & Salis, H. M. (2022) · Nature Communications · doi:10.1038/s41467-022-32829-5 · Cited by 202
Ivshina, I., Bazhutin, G., & Tyumina, E. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.967127 · Cited by 62
Xie, H., Kjellström, J., & Lindblad, P. (2023) · Biotechnology for Biofuels and Bioproducts · doi:10.1186/s13068-023-02385-1 · Cited by 31
Metadata
- Authors
- Keasling, J., Garcia Martin, H., Lee, T. S., Mukhopadhyay, A., Singer, S. W., & Sundstrom, E.
- Venue
- Nature Reviews Microbiology
- Published
- 2021-06-25
- Volume
- 19
- Issue
- 11
- Pages
- 701-715
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W3177041780
- Cited by
- 294
- References
- 170
- FWCI
- 4.45
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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