The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Engineering microbes for tolerance to next-generation biofuels
Open accessAbstract
A major challenge when using microorganisms to produce bulk chemicals such as biofuels is that the production targets are often toxic to cells. Many biofuels are known to reduce cell viability through damage to the cell membrane and interference with essential physiological processes. Therefore, cells must trade off biofuel production and survival, reducing potential yields. Recently, there have been several efforts towards engineering strains for biofuel tolerance. Promising methods include engineering biofuel export systems, heat shock proteins, membrane modifications, more general stress responses, and approaches that integrate multiple tolerance strategies. In addition, in situ recovery methods and media supplements can help to ease the burden of end-product toxicity and may be used in combination with genetic approaches. Recent advances in systems and synthetic biology provide a framework for tolerance engineering. This review highlights recent targeted approaches towards improving microbial tolerance to next-generation biofuels with a particular emphasis on strategies that will improve production.
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Cites
Mechanisms of membrane toxicity of hydrocarbons
Sikkema, J., de Bont, J. A., & Poolman, B. (1995) · Microbiological Reviews · doi:10.1128/mr.59.2.201-222.1995 · Cited by 2,685
Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels
Atsumi, S., Hanai, T., & Liao, J. C. (2008) · Nature · doi:10.1038/nature06450 · Cited by 1,945
Programming cells by multiplex genome engineering and accelerated evolution
Wang, H. H., Isaacs, F. J., Carr, P. A., Sun, Z. Z., Xu, G., Forest, C. R., & Church, G. M. (2009) · Nature · doi:10.1038/nature08187 · Cited by 1,529 · cited 1×
“In addition, recent advances in recombineering methodologies introduce powerful tools for rapid introduction of mutations and subsequent analysis [47-49].”
BackgroundMicrobial production of fatty-acid-derived fuels and chemicals from plant biomass
Steen, E. J., Kang, Y., Bokinsky, G., Hu, Z., Schirmer, A., McClure, A., del Cardayre, S. B., & Keasling, J. D. (2010) · Nature · doi:10.1038/nature08721 · Cited by 1,342
Interactions of cyclic hydrocarbons with biological membranes.
Sikkema, J., de Bont, J. A., & Poolman, B. (1994) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)37154-5 · Cited by 1,200
Proton-dependent multidrug efflux systems
Paulsen, I. T., Brown, M. H., & Skurray, R. A. (1996) · Microbiological Reviews · doi:10.1128/mmbr.60.4.575-608.1996 · Cited by 1,198
Almeida, J. R., Modig, T., Petersson, A., Hähn‐Hägerdal, B., Lidén, G., & Gorwa‐Grauslund, M. F. (2007) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.1676 · Cited by 987
Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production
Alper, H., Moxley, J., Nevoigt, E., Fink, G. R., & Stephanopoulos, G. (2006) · Science · doi:10.1126/science.1131969 · Cited by 823 · cited 2×
“For example, ethanol production in an engineered strain of Saccharomyces cerevisiae was improved 15% when its ethanol and glucose tolerance were improved through global transcriptional machinery engineering [6].”
BackgroundMolecular Properties of Bacterial Multidrug Transporters
Putman, M., van Veen, H. W., & Konings, W. N. (2000) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.64.4.672-693.2000 · Cited by 795
Mechanisms of Solvent Tolerance in Gram-Negative Bacteria
Ramos, J. L., Duque, E., Gallegos, M.-T., Godoy, P., Ramos-González, M. I., Rojas, A., Terán, W., & Segura, A. (2002) · Annual Review of Microbiology · doi:10.1146/annurev.micro.56.012302.161038 · Cited by 791
Cited by
Bioconversion of lignocellulose: inhibitors and detoxification
Jönsson, L. J., Alriksson, B., & Nilvebrant, N.-O. (2013) · Biotechnology for Biofuels · doi:10.1186/1754-6834-6-16 · Cited by 1,382
Isoprenoid drugs, biofuels, and Chemicals–Artemisinin, farnesene, and beyond
George, K. W., Alonso-Gutierrez, J., Keasling, J. D., & Lee, T. S. (2015) · Advances in biochemical engineering, biotechnology · doi:10.1007/10_2014_288 · Cited by 185
Redefining agricultural residues as bioenergy feedstocks
Caicedo, M., Barros, J., & Ordás, B. (2016) · Materials · doi:10.3390/ma9080635 · Cited by 40
Biofuel toxicity and mechanisms of biofuel tolerance in three model cyanobacteria
Ruffing, A. M., & Trahan, C. A. (2014) · Algal Research · doi:10.1016/j.algal.2014.07.006 · Cited by 34
Valorisation of lignocellulosic biomass: a new generation in biorefinery and biomaterials
Pandey, A., Verma, N., Jain, S., Bose, S. K., & Yadava, P. (2025) · Biotechnology for Sustainable Materials · doi:10.1186/s44316-025-00042-1 · Cited by 19
Metadata
- Authors
- Dunlop, M. J.
- Venue
- Biotechnology for Biofuels
- Published
- 2011
- Volume
- 4
- Issue
- 1
- Pages
- 32
- ISSN
- 1754-6834 (ISSN-L)
- OpenAlex
- W2130314901
- Cited by
- 293
- References
- 70
- FWCI
- 9.64
- Type
- journal article
- Language
- en
- Open access
- gold
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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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