Engineering microbes for tolerance to next-generation biofuels
© Dunlop; licensee BioMed Central Ltd. 2011
Received: 10 June 2011
Accepted: 21 September 2011
Published: 21 September 2011
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.
Microbes can be engineered to produce biologically-derived replacements for gasoline, diesel, and aviation fuel. Although much research has focused on ethanol as a biogasoline, there are many other biofuels that offer advantages such as high energy density, low freezing point, and compatibility with the existing fuel storage and distribution infrastructure [1–3]. Next-generation biofuels, such as long-chain alcohols, fatty-acid-derived, and isoprenoid-derived fuels offer promise as new biofuels and can be synthesized by microbes. These fuels are being developed as either supplements or drop-in replacements for existing petroleum fuels. Because there is active research on many next-generation fuels, this review highlights general tolerance strategies and discusses areas where mechanisms may only work for certain classes of fuels.
Next-generation biofuels have many advantages, but the fuels are often toxic to microorganisms. Therefore, the inherent tolerance of the host may limit production potential. Microbes that can survive in hydrocarbon-rich environments have been isolated [4, 5], however these strains are rarely suitable for use as biofuel production hosts. Recent efforts have suggested that it may be possible to transfer tolerance mechanisms to a suitable production strain. The ideal host is a well studied organism with good genetic tools available that can be engineered for both biofuel production and tolerance.
It is often assumed that increasing tolerance will improve yields. There are several studies where this is the case [6–8], but also well documented examples where increases in tolerance have no effect or have even decreased yield [9–11]. Because biofuel tolerance is complex, and often intimately linked to general stress response, it can be difficult to predict the effect of a given tolerance strategy.
Mechanisms of toxicity
Solvent stress has been studied extensively, though almost exclusively in the context of exogenous addition of the solvent rather than intracellular production. There are several comprehensive reviews on this subject [4, 5, 12, 13], and therefore an overview of these mechanisms is provided here. The antimicrobial activity of a solvent is highly correlated with its hydrophobicity, which determines the extent to which the solvent accumulates in the cytoplasmic membrane. The accumulation of solvents in the membrane has several consequences: it increases the permeability of the membrane, diminishes energy transduction, interferes with membrane protein function, and increases fluidity. The increase in membrane permeability can allow the release of ATP, ions, phospholipids, RNA, and proteins. Direct effects include reduced ATP levels, reduced ATP synthesis, and diminished proton motive force, all of which are detrimental to energy maintenance in the cell. Solvents in the cell membrane can also negatively affect membrane protein function, further interfering with essential cellular processes such as nutrient transport. Finally, the increase in membrane fluidity changes the stability and structure of the cell membrane. In summary, solvents interfere with the membrane's ability to act as a barrier, and interrupt key processes such as transport and energy transduction.
Toxicity levels for next-generation biofuels
Tolerance (% v/v)
Tolerance properties can also vary across different species and strains. For example, growth of most microbes is inhibited by 1% to 2% (v/v) butanol, though there are examples of adapted strains of Pseudomonas that can tolerate up to 6% (v/v) . The values in Table 1 represent intrinsic tolerance levels for common host strains. Many efforts have identified strains with increased tolerance, and approaches relevant for biofuel production are discussed here. However, it is important to recognize that what works for one biofuel may not work for another, and the host strain may only support a subset of the tolerance engineering strategies.
Efflux pumps are membrane transporters that recognize and export toxic compounds from the cell using the proton motive force. Physiologically, they play an important role in cell survival by exporting a wide range of substrates, including bile salts, antimicrobial drugs, and solvents [18–20]. Although best studied for their role in antibiotic resistance, there are several pumps that appear to be specific for solvents. For example, the solvent resistance pump (srpABC) from Pseudomonas putida S12 has been shown to export hexane, octanol, and several other hydrocarbons . P. putida DOT-T1E harbors three solvent resistant efflux pumps, collectively known as the toluene tolerance genes (ttg) . In addition to these solvent-specific efflux pumps, many broad-range efflux pumps can also export hydrocarbons. For example, the acrAB-tolC pump from Escherichia coli provides tolerance to hexane, heptane, octane, and nonane . Three mex pumps from Pseudomonas aeruginosa have also been shown to export solvents . The best-studied solvent tolerance pumps are those from the resistance-nodulation-division (RND) family in Gram-negative bacteria, but many other organisms also harbor efflux pumps .
RND efflux pumps in Gram-negative bacteria are composed of three protein subunits that span the inner and outer membranes: the inner membrane protein responsible for substrate recognition and proton antiport, the periplasmic linker that acts as a bridge between the inner membrane pump, and finally the outer membrane channel. All three subunits are essential for pump function.
Recent experiments by the author and collaborators have demonstrated that heterologously expressed RND efflux pumps can improve tolerance to biofuels . Efflux pump operons were cloned from a broad range of organisms and expressed individually in an E. coli host. Improvements in tolerance were observed when cells were grown in the presence of biogasoline, biodiesel, and bioaviation fuel. Importantly, pump expression was also shown to improve biofuel production.
Expression of efflux pumps is a promising engineering strategy for many biofuels, however there is mounting evidence that these pumps are not effective at exporting short-chain alcohols. Although several studies have shown that these alcohols can induce expression of pumps [25–27], recent work has consistently demonstrated that the pumps do not increase tolerance. Ankarloo et al. showed that E. coli acrAB does not improve tolerance to ethanol or 1-propanol . Furthermore, when expression of acrAB was indirectly induced by the addition of salicylate, cells were actually less tolerant to the alcohols. A similar conclusion was suggested by two independent studies that identified acrAB deletions among those that increased isobutanol tolerance [9, 29]. Finally, none of the members of a library of heterologously expressed efflux pumps were able to increase E. coli tolerance to n-butanol or 3-methyl-1-butanol . These recent studies strongly suggest that efflux pumps are not effective at exporting short-chain alcohols, and may even reduce tolerance in some instances.
Efflux pumps that exhibit biofuel tolerance
Heat shock proteins
Stress from short-chain alcohols has many parallels with heat shock . Heat shock proteins are molecular chaperones that are involved in the synthesis, transport, folding, and degradation of proteins. Under stress, they prevent protein aggregation and assist with refolding; under normal conditions, they play a housekeeping role. Genomic studies have repeatedly revealed heat shock proteins among those that are upregulated in response to solvent stress and there is evidence that they may be good engineering targets for improving biofuel tolerance and yield.
Several recent studies have shown consistent upregulation of heat shock proteins in response to solvent stress. Brynildsen et al. subjected E. coli to isobutanol stress and measured changes in the transcriptional response network, finding strong activation of RpoH, a heat shock sigma factor . Rutherford et al. conducted a similar study to measure transcriptional changes in E. coli under n-butanol stress and found several genes related to heat shock and protein misfolding, including rpoH, dnaJ, htpG, and ibpAB . In a study subjecting Clostridium acetobutylicum to exogenous butanol stress, Tomas et al. showed that many of the known heat shock proteins were overexpressed (groESL, dnaKJ, hsp18, hsp90) . Evolved isobutanol-tolerant strains of E. coli also showed modifications to the chaperone GroL . Similar findings were obtained in a comprehensive study by Alsaker et al. examining butanol, butyrate, and acetate stress in C. acetobutylicum . Stress from all three metabolites upregulated expression of dnaK, groES, groEL, hsp90, hsp18, and several other stress genes. It is clear that expression of heat shock proteins is altered in response to solvent stress.
Biofuel tolerance can be improved by overexpressing heat shock proteins. Tomas et al. showed that overexpression of GroESL improved tolerance in C. acetobutylicum . Importantly, these tolerance improvements also led to an increase in butanol yields. Other studies overexpressing heat shock proteins in Lactobacillus plantarum  and E. coli  provide corroborating evidence for the ability of heat shock proteins to increase biofuel tolerance.
Solvent-tolerant microbes can actively change their membrane composition to block entry of solvents. In non-tolerant strains, the presence of solvents disrupts the cell membrane structure and has a profound impact on physiological function, ultimately leading to cell death [4, 13]. To counter this effect, tolerant strains can shift the composition of the fatty acids in their membrane to block the entry of solvents. A well studied example of this phenomenon is the shift from cis to trans unsaturated fatty acids, which can be catalyzed by the cis-trans isomerase (cti) [38, 39]. An increase in the ratio of trans to cis fatty acids is correlated with a decrease in membrane fluidity and a corresponding increase in solvent tolerance . As a longer-term response, cells can alter the ratio of saturated to unsaturated fatty acids to exclude solvents or stabilize the membrane . In addition, modifications to phospholipid headgroups or phospholipid chain length have been shown to increase solvent tolerance .
Membrane modifications that decrease permeability may not be effective independent strategies for improving biofuel production since they could trap fuel molecules within the cell, however they may be useful in concert with other mechanisms. Individually, membrane modifications are likely to increase tolerance to exogenous solvents, but there is evidence that production will not be improved . A combined strategy that utilizes both membrane modifications and other approaches mirrors natural examples from solvent-tolerant microbes and may prove to be an effective engineering approach. For example, membrane modifications may be helpful in combination with export pumps. Alternatively, the timing and rate of fatty-acid biosynthesis could be regulated in response to production levels. The ability to optimize membrane composition will lead to increases in tolerance, but the relationship between tolerance and production must be carefully considered with this approach.
Other stress responses and potential for systems engineering
Recent studies have explored the solvent stress response with the twin goals of characterizing biofuel stress and identifying strategies for combating it. Consistent themes from these studies indicate that respiration, general stress response mechanisms, and membrane proteins are altered in response to biofuel . These may serve as engineering targets, either for improving yield or by use as switches to activate expression of other tolerance mechanisms.
Brynildsen et al.  identified 16 transcription factors in E. coli to be significantly perturbed by isobutanol stress. A key finding from the study was that respiration is highly altered under isobutanol stress. Rutherford et al.  identified genes related to energy production and conversion, amino acid transport and metabolism, and signal transduction as the mostly highly affected by n-butanol stress in E. coli. A major finding of their work was that reactive oxygen species were highly elevated during n-butanol stress; they suggest that genes that alleviate oxidative stress may be valuable engineering targets. A study by Reyes et al.  used a genomic enrichment library to find genes from E. coli that enhanced n-butanol tolerance. Similar to previous studies, membrane and stress response proteins were shown to play an important role in n-butanol tolerance. The biggest improvements came from overexpression of entC and feoA, which are involved in iron transport and metabolism. In addition, the authors identified gene deletions that improved tolerance, including acid resistance-related astE and inner membrane protein ygiH. A similar genomic library approach was used to search for n-butanol tolerance genes in C. acetobutylicum . Several genes were identified, including a transcription factor that is hypothesized to regulate transitional-phase events, CAC1869, which provided an 81% improvement in growth relative to the control strain under butanol stress. Minty et al. evolved isobutanol tolerant strains of E. coli and found several genes related to the cell envelope and stress response in the tolerant strains . Their findings suggest that post-transcriptional regulatory proteins may play an important role in tolerance. In addition, attenuation of the stress response by the global regulator RpoS improved tolerance, a surprising finding given that non-adapted strains upregulate rpoS expression [29, 33]. This apparent inconsistency may be due to the interaction between RpoS with mutations to hfq and acrAB in the adapted strains. Although the studies discussed above differ in their use of n-butanol versus isobutanol, tests comparing the two indicate that responses are similar [9, 33]. General themes that emerge from the butanol response network studies are that respiration is clearly affected by the stress, membrane protein expression is disproportionally altered, and general stress response mechanisms are activated.
The stress response mechanisms identified in these studies may also play a key role in future systems engineering efforts. Detailed understanding of the response to biofuel stress and the genes that are implicated in these changes may be useful in engineering cellular control systems . For example, expression of solvent-responsive proteins such as ArcA, Fur, and PhoB, which are activated indirectly by isobutanol, could be used to turn on a switch that indicates that the cell is experiencing isobutanol stress . This switch could be used to control expression of production pathway genes, or export mechanisms that would serve to alleviate the stress . Similar strategies have been used with great success to control expression of other metabolically engineered production pathways .
Although the main focus of this review is on targeted tolerance mechanisms, traditional strain engineering will also play a crucial role in improving tolerance. Classical strain improvement methods such as chemostat-mediated adaptation, mutagenesis, and evolutionary engineering are valuable approaches when the desired phenotype involves complex genotypic solutions . These approaches have proved successful for engineering environmental tolerance , and can be used in combination with genome shuffling or targeted genomic approaches . In addition, recent advances in recombineering methodologies introduce powerful tools for rapid introduction of mutations and subsequent analysis [47–49].
Synergistic approaches to tolerance
Solvent tolerant microbes employ multiple resistance mechanisms. For example, a comparative genomic study on efflux pumps in P. putida strains demonstrated that the degree of solvent tolerance is highly correlated with the number efflux pumps the strain harbors; strains with several different types of pumps were more likely to be highly tolerant to solvents . Furthermore, an individual strain may utilize diverse resistance strategies. P. putida DOT-T1E uses three efflux pumps, a cis-trans isomerase, and can form vesicles to isolate the toxic solvents . Microbes that metabolize hydrocarbons generally have additional tolerance mechanisms such as the ability to degrade the toxins, cell wall strengthening isomerases, genes specific to biofilm formation at an oil-water interface, and the ability to produce biosurfactants [51, 52]. Based on the natural examples of solvent-tolerant microbes it is likely that integrating multiple strategies will greatly improve biofuel tolerance of a production host.
Genome-level studies on biofuel tolerant strains have consistently found that it is necessary to alter the expression of multiple genes to provide the greatest benefit [9, 27, 33, 53]. For example, simultaneous disruption of five unrelated genes provided significant improvements to isobutanol tolerance in a study by Atsumi et al. . No single mutation was solely responsible for the improvements in tolerance, and all five were needed to reproduce the levels observed in evolved strains. Recent work by Goodarzi et al. showed that combined computational and experimental approaches may help to improve tolerance . The authors experimentally determined the effect of single-gene perturbations and then used these data in a computational model to accurately predict the effects of combining multiple perturbations. Such hybrid approaches will be very powerful for the creation of biofuel tolerant strains.
Link between tolerance and production
Increased biofuel tolerance appears to be necessary, but not sufficient for increased fuel production. Several studies show improvements in tolerance that correspond to clear increases in biofuel yield. 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 . With the tolerance improvements, production levels reached 98% of the theoretical yield. C. acetobutylicum can produce butanol and acetone, but butanol toxicity is a major inhibitor of solvent production . By overexpressing the groESL heat shock genes, Tomas et al. reduced butanol toxicity in C. acetobutylicum by 85%, which resulted in 40% improvements in butanol production . Limonene tolerance in E. coli was improved by heterologously expressing an efflux pump and the corresponding strain showed a 64% improvement in limonene yield . End-product toxicity is a known problem in industrial-scale production of chemicals by microorganisms. For example, E. coli has been used as an industrial host to produce the bulk chemicals 1,4-butanediol and 1,3-propanediol. In both cases engineering devoted to improving tolerance was required to make production cost effective [56, 57]. Thus, there is clear evidence that tolerance improvements can increase production.
However, improvements in tolerance are not sufficient to guarantee an increase in biofuel yields. C. acetobutylicum studies have shown that butanol tolerance can be increased by genetic changes that modify the fatty-acid composition of the membrane, but these effects inhibited solvent production [10, 11]. A study by Atsumi et al. isolated an isobutanol tolerant strain of E. coli through a serial transfer experiment . Although the strain was more tolerant to exogenous isobutanol, the production yields were identical to those of the original engineered production strain. Because biofuel production pathways may disrupt the metabolic network of the cell it is difficult to predict how changes in a particular gene product will alter biofuel production. In particular, tolerance improvements that result from the initiation of stress response pathways may have broad-ranging effects, which preclude a clear-cut link between tolerance and yield.
It is worth noting that production yields can exceed tolerance levels. Toxicity levels measured using exogenous addition of biofuel correspond to levels that inhibit growth, but production often continues long after growth stops, allowing yields to exceed native tolerance levels [58, 59]. Despite this, biofuel toxicity still limits production and it will be necessary to improve tolerance to further increase yields.
Recovery technologies and media supplements
In addition to genetic manipulations, advances in technologies for removing biofuel from the bioreactor or buffering its impacts through media supplementation can help ease the burden of toxicity. Much of the work on extraction methods has been developed for the purpose of improving fermentation for ethanol or butanol production. Key technologies for in situ recovery and their benefits and drawbacks have been reviewed elsewhere [55, 60]; approaches include gas stripping, liquid-liquid extraction, pervaporation, and perstraction. Gas stripping bubbles a gas such as N2, CO2, or H2 through the reaction volume, which captures the solvents. The solvents can then be separated and collected using a condenser and the gas reused. A recent paper showed a doubling in yields when butanol was continuously extracted from the fermentation broth by gas stripping . Liquid-liquid extraction is similar to gas stripping, but uses a water-insoluble solvent to capture the biofuel. Pervaporation and perstraction use a selective membrane to remove solvents from the bioreactor.
Many candidates for next-generation biofuels are insoluble in water. This property may simplify recovery strategies, however the lack of solubility does not imply that the biofuel is not toxic. Indeed, several hydrocarbons have been shown to have very poor solubility, but still exhibit significant antimicrobial properties . In addition, in some cases compounds produced intracellularly may become trapped inside the cell, requiring further energy input for extraction .
The addition of compatible solutes to the growth medium can also help to mitigate the effects of biofuel toxicity . For example, trehalose, proline and other amino acids have been shown to protect yeast against ethanol stress [62, 63]. Supplementation with protectants such as betaine or inositol may also help improve biofuel tolerance [1, 12, 62]. Overcoming toxicity limitations will likely require a combination of genetic manipulations, advances in bioreactor recovery methods, and optimization of growth conditions.
As metabolic engineering continues to improve biofuel production, yields will reach levels that are toxic to cells. This end-product inhibition places a limit on the amount of biofuel that can be produced. Approaches for increasing tolerance to biofuels have been the focus of several recent studies that characterize the stress response caused by biofuels, and develop strategies for increasing tolerance with the goal of increasing yield.
In addition to the end product, other inhibitors from the biofuel production process may also need to be addressed through tolerance engineering. For example, when biomass is deconstructed, residual products such as cellulosic hydrolysate can exhibit cytotoxicity [64–66]. Several reviews on growth inhibition by ligocellulosic hydrolysate have been published recently, which provide insight into the mechanisms of toxicity [67–69]. The tolerance strategies discussed here may also be effective for countering these inhibitors.
There are several key conclusions that can be drawn from recent studies on tolerance engineering for next-generation biofuels: first, tolerance mechanisms are likely to be specific for particular classes of biofuel. For example, RND efflux pumps are effective at exporting several biodiesels and bioaviation fuels, but are less promising for short-chain alcohols. Second, in addition to exploring native tolerance strategies through the use of genomic libraries, adaptation, and mutagenesis studies, it is also worth studying expression of heterologous genes. Third, multiple tolerance mechanisms are likely to be necessary and may have synergistic effects. Several studies on tolerance have shown that epistatic interactions between genes are necessary to improve tolerance. Fourth, tolerance improvements do not necessarily correlate with increases in yield. Although it is necessary to improve tolerance to increase yield, simply increasing tolerance may not increase yield. Finally, optimized growth conditions and recovery strategies that are integrated with the biofuel production infrastructure will help ease the burden caused by end-product toxicity. Combined approaches that use strain engineering with effective recovery technologies will likely be necessary.
Future tolerance engineering efforts should be conducted in biofuel production strains when possible so that improvements in production yields can be measured in conjunction with tolerance. Researchers should explore expression of heterologous genes in addition to modifications to the native genome. Other microorganisms, especially those that are naturally adapted to hydrocarbon-rich environments, may be valuable sources of tolerance mechanisms even if they are not ideal production hosts. In some cases there may be obvious targets for metabolic engineering, but methods for heterologous library construction should also be explored. These new approaches should be used in combination with native tolerance strategies, discovered through classical strain engineering, genome shuffling, or genomic library approaches. In particular, methods that support the exploration of synergistic approaches to tolerance will be especially valuable. Tolerance engineering will be essential as production of next-generation biofuels continues to improve.
Aindrila Mukhopadhyay provided helpful comments on the manuscript. This research was supported by the University of Vermont and the Office of Science (BER), US Department of Energy.
- Fischer CR, Klein-Marcuschamer D, Stephanopoulos G: Selection and optimization of microbial hosts for biofuels production. Metabol Eng. 2008, 10: 295-304. 10.1016/j.ymben.2008.06.009.View Article
- Fortman JL, Chhabra S, Mukhopadhyay A, Chou H, Lee TS, Steen E, Keasling JD: Biofuel alternatives to ethanol: pumping the microbial well. Trends in Biotechnol. 2008, 26: 375-381. 10.1016/j.tibtech.2008.03.008.View Article
- Lee SK, Chou H, Ham TS, Lee TS, Keasling JD: Metabolic engineering of microorganisms for biofuels production: from bugs to synthetic biology to fuels. Curr Opin Biotechnol. 2008, 19: 556-563. 10.1016/j.copbio.2008.10.014.View Article
- Isken S, de Bont JAM: Bacteria tolerant to organic solvents. Extremophiles. 1998, 2: 229-238. 10.1007/s007920050065.View Article
- Ramos JL, Duque E, Gallegos M-T, Godoy P, Ramos-Gonzalez MI, Rojas A, Teran W, Segura A: Mechanisms of solvent tolerance in Gram-negative bacteria. Annu Rev Microbiol. 2002, 56: 743-768. 10.1146/annurev.micro.56.012302.161038.View Article
- Alper H, Moxley J, Nevoigt E, Fink GR, Stephanopoulos G: Engineering yeast transcription machinery for improved ethanol tolerance and production. Science. 2006, 314: 1565-1568. 10.1126/science.1131969.View Article
- Dunlop MJ, Dossani ZY, Szmidt HL, Chu HC, Lee TS, Keasling JD, Hadi M, Mukhopadhyay A: Engineering microbial biofuel tolerance and export using efflux pumps. Mol Syst Biol. 2011, 7: 487-View Article
- Tomas C, Welker N, Papoutsakis E: Overexpression of groESL in Clostridium acetobutylicum results in increased solvent production and tolerance, prolonged metabolism, and changes in the cell's transcriptional program. Appl Environ Microbiol. 2003, 69: 4951-4965. 10.1128/AEM.69.8.4951-4965.2003.View Article
- Atsumi S, Wu T-Y, Machado IMP, Huang W-C, Chen P-Y, Pellegrini M, Liao JC: Evolution, genomic analysis, and reconstruction of isobutanol tolerance in Escherichia coli. Mol Syst Biol. 2010, 6: 449-View Article
- Baer S, Blaschek H, Smith T: Effect of butanol challenge and temperature on lipid composition and membrane fluidity of butanol tolerant Clostridium acetobutylicum. Appl Environ Microbiol. 1987, 53: 2854-2861.
- Zhao Y, Hindorff L, Chuang A, Monroe-Augustus M, Lyristis M, Harrison M, Rudolph F, Bennett G: Expression of a cloned cyclopropane fatty acid synthase gene reduces solvent formation in Clostridium acetobutylicum ATCC 824. Appl Environ Microbiol. 2003, 69: 2831-2841. 10.1128/AEM.69.5.2831-2841.2003.View Article
- Nicolaou SA, Gaida SM, Papoutsakis ET: A comparative view of metabolite and substrate stress and tolerance in microbial bioprocessing: from biofuels and chemicals, to biocatalysis and bioremediation. Metabol Eng. 2010, 12: 307-331. 10.1016/j.ymben.2010.03.004.View Article
- Sikkema J, de Bont JAM, Poolman B: Mechanisms of membrane toxicity of hydrocarbons. Microbiol Rev. 1995, 59: 201-222.
- Sikkema J, de Bont JAM, Poolman B: Interactions of cyclic hydrocarbons with biological membranes. J Biol Chem. 1994, 269: 8022-8028.
- Renninger N, McPhee D: Fuel compositions comprising farnesane and farnesane derivatives and method of making and using same. Fuel Compositions Comprising Farnesane and Farnesane Derivatives and Method of Making and Using Same. 2008
- Steen EJ, Kang YS, Bokinsky G, Hu ZH, Schirmer A, McClure A, del Cardayre SB, Keasling JD: Microbial production of fatty-acid-derived fuels and chemicals from plant biomass. Nature. 2010, 463: 559-562. 10.1038/nature08721.View Article
- Rühl J, Schmid A, Blank LM: Selected Pseudomonas putida strains able to grow in the presence of high butanol concentrations. Appl Environ Microbiol. 2009, 75: 4653-4656. 10.1128/AEM.00225-09.View Article
- Nikaido H, Takatsuka Y: Mechanisms of RND multidrug efflux pumps. Biochim Biophys Acta. 2009, 1794: 769-781.View Article
- Paulsen IT, Brown MH, Skurray RA: Proton-dependent multidrug efflux systems. Microbiol Rev. 1996, 60: 575-608.
- Putman M, van Veen HW, Konings WN: Molecular properties of bacterial multidrug transporters. Microbiol Mol Biol Rev. 2000, 64: 672-693. 10.1128/MMBR.64.4.672-693.2000.View Article
- Kieboom J, Dennis JJ, de Bont JAM, Zylstra GJ: Identification and molecular characterization of an efflux pump involved in Pseudomonas putida S12 solvent tolerance. J Biol Chem. 1998, 273: 85-91. 10.1074/jbc.273.1.85.View Article
- Rojas A, Duque E, Mosqueda G, Golden G, Hurtado A, Ramos JL, Segura A: Three efflux pumps are required to provide efficient tolerance to toluene in Pseudomonas putida DOT-T1E. J Bacteriol. 2001, 183: 3967-3973. 10.1128/JB.183.13.3967-3973.2001.View Article
- Takatsuka Y, Chen C, Nikaido H: Mechanism of recognition of compounds of diverse structures by the multidrug efflux pump AcrB of Escherichia coli. Proc Natl Acad Sci USA. 2010, 107: 6559-6565. 10.1073/pnas.1001460107.View Article
- Li XZ, Zhang L, Poole K: Role of the multidrug efflux systems of Pseudomonas aeruginosa in organic solvent tolerance. J Bacteriol. 1998, 180: 2987-2991.
- Kieboom J, Dennis JJ, Zylstra GJ, de Bont JAM: Active efflux of organic solvents by Pseudomonas putida S12 is induced by solvents. J Bacteriol. 1998, 180: 6769-6772.
- Ma D, Alberti M, Lynch C, Nikaido H, Hearst J: The local repressor AcrR plays a modulating role in the regulation of acrAB genes of Escherichia coli by global stress signals. Mol Microbiol. 1996, 19: 101-112. 10.1046/j.1365-2958.1996.357881.x.View Article
- Rutherford BJ, Dahl RH, Price RE, Szmidt HL, Benke PI, Mukhopadhyay A, Keasling JD: Functional genomic study of exogenous n-butanol stress in Escherichia coli. Appl Environ Microbiol. 2010, 76: 1935-1945. 10.1128/AEM.02323-09.View Article
- Ankarloo J, Wikman S, Nicholls IA: Escherichia coli mar and acrAB mutants display no tolerance to simple alcohols. Int J Mol Sci. 2010, 11: 1403-1412. 10.3390/ijms11041403.View Article
- Minty JJ, Lesnefsky AA, Lin F, Chen Y, Zaroff TA, Veloso AB, Xie B, McConnell CA, Ward RJ, Schwartz DR, Rouillard JM, Gao Y, Gulari E, Lin XN: Evolution combined with genomic study elucidates genetic bases of isobutanol tolerance in Escherichia coli. Microb Cell Fact. 2011, 10: 18-10.1186/1475-2859-10-18.View Article
- Wagner S, Baars L, Ytterberg AJ, Klussmeier A, Wagner CS, Nord O, Nygren PA, van Wijk KJ, de Gier JW: Consequences of membrane protein overexpression in Escherichia coli. Mol Cell Proteomics. 2007, 6: 1527-1550. 10.1074/mcp.M600431-MCP200.View Article
- Dunlop MJ, Keasling JD, Mukhopadhyay A: A model for improving microbial biofuel production using a synthetic feedback loop. Syst Synth Biol. 2010, 4: 95-104. 10.1007/s11693-010-9052-5.View Article
- Piper P: The heat-shock and ethanol stress responses of yeast exhibit extensive similarity and functional overlap. FEMS Microbiol Lett. 1995, 134: 121-127. 10.1111/j.1574-6968.1995.tb07925.x.View Article
- Brynildsen MP, Liao JC: An integrated network approach identifies the isobutanol response network of Escherichia coli. Mol Syst Biol. 2009, 5: 277-View Article
- Tomas C, Beamish J, Papoutsakis E: Transcriptional analysis of butanol stress and tolerance in Clostridium acetobutylicum. J Bacteriol. 2004, 186: 2006-2018. 10.1128/JB.186.7.2006-2018.2004.View Article
- Alsaker KV, Paredes C, Papoutsakis ET: Metabolite stress and tolerance in the production of biofuels and chemicals: gene-expression-based systems analysis of butanol, butyrate, and acetate stresses in the anaerobe Clostridium acetobutylicum. Biotechnol Bioeng. 2010, 105: 1131-1147.
- Fiocco D, Capozzi V, Goffin P, Hols P, Spano G: Improved adaptation to heat, cold, and solvent tolerance in Lactobacillus plantarum. Appl Microbiol Biotechnol. 2007, 77: 909-915. 10.1007/s00253-007-1228-x.View Article
- Reyes LH, Almario MP, Kao KC: Genomic library screens for genes involved in n-butanol tolerance in Escherichia coli. PLoS One. 2011, 6: e17678-10.1371/journal.pone.0017678.View Article
- Holtwick R, Meinhardt F, Keweloh H: cis-trans isomerization of unsaturated fatty acids: cloning and sequencing of the cti gene from Pseudomonas putida P8. Appl Environ Microb. 1997, 63: 4292-4297.
- Junker F, Ramos J: Involvement of the cis/trans isomerase Cti in solvent resistance of Pseudomonas putida DOT-T1E. J Bacteriol. 1999, 181: 5693-5700.
- Kiran M, Prakash J, Annapoorni S, Dube S, Kusano T, Okuyama H, Murata N, Shivaji S: Psychrophilic Pseudomonas syringae requires trans-monounsaturated fatty acid for growth at higher temperature. Extremophiles. 2004, 8: 401-410. 10.1007/s00792-004-0401-8.View Article
- Borden JR, Papoutsakis ET: Dynamics of genomic-library enrichment and identification of solvent tolerance genes for Clostridium acetobutylicum. Appl Environ Microb. 2007, 73: 3061-3068. 10.1128/AEM.02296-06.View Article
- Lu TK, Khalil AS, Collins JJ: Next-generation synthetic gene networks. Nat Biotechnol. 2009, 27: 1139-1150. 10.1038/nbt.1591.View Article
- Farmer WR, Liao JC: Improving lycopene production in Escherichia coli by engineering metabolic control. Nat Biotechnol. 2000, 18: 533-537. 10.1038/75398.View Article
- Parekh S, Vinci VA, Strobel RJ: Improvement of microbial strains and fermentation processes. Appl Microbiol Biotechnol. 2000, 54: 287-301. 10.1007/s002530000403.View Article
- Patnaik R, Louie S, Gavrilovic V, Perry K, Stemmer W, Ryan C, del Cardayre S: Genome shuffling of Lactobacillus for improved acid tolerance. Nat Biotechnol. 2002, 20: 707-712. 10.1038/nbt0702-707.View Article
- Patnaik R: Engineering complex phenotypes in industrial strains. Biotechnol Progr. 2008, 24: 38-47. 10.1021/bp0701214.View Article
- Wang HH, Isaacs FJ, Carr PA, Sun ZZ, Xu G, Forest CR, Church GM: Programming cells by multiplex genome engineering and accelerated evolution. Nature. 2009, 460: 894-U133. 10.1038/nature08187.View Article
- Warner JR, Patnaik R, Gill RT: Genomics enabled approaches in strain engineering. Curr Opin Microbiol. 2009, 12: 223-230. 10.1016/j.mib.2009.04.005.View Article
- Warner JR, Reeder PJ, Karimpour-Fard A, Woodruff LBA, Gill RT: Rapid profiling of a microbial genome using mixtures of barcoded oligonucleotides. Nat Biotechnol. 2010, 28: 856-862. 10.1038/nbt.1653.View Article
- Segura A, Rojas A, Hurtado A, Huertas MJ, Ramos JL: Comparative genomic analysis of solvent extrusion pumps in Pseudomonas strains exhibiting different degrees of solvent tolerance. Extremophiles. 2003, 7: 371-376. 10.1007/s00792-003-0331-x.View Article
- Pedrotta V, Witholt B: Isolation and characterization of the cis-trans-unsaturated fatty acid isomerase of Pseudomonas oleovorans GPo12. J Bacteriol. 1999, 181: 3256-3261.
- Schneiker S, Martins dos Santos VA, Bartels D, Bekel T, Brecht M, Buhrmester J, Chernikova TN, Denaro R, Ferrer M, Gertler C, Goesmann A, Golyshina OV, Kaminski F, Khachane AN, Lang S, Linke B, McHardy AC, Meyer F, Nechitaylo T, Pühler A, Regenhardt D, Rupp O, Sabirova JS, Selbitschka W, Yakimov MM, Timmis KN, Vorhölter FJ, Weidner S, Kaiser O, Golyshin PN: Genome sequence of the ubiquitous hydrocarbon-degrading marine bacterium Alcanivorax borkumensis. Nat Biotechnol. 2006, 24: 997-1004. 10.1038/nbt1232.View Article
- Gonzalez R, Tao H, Purvis JE, York SW, Shanmugam KT, Ingram LO: Gene array-based identification of changes that contribute to ethanol tolerance in ethanologenic Escherichia coli: comparison of KO11 (parent) to LY01 (resistant mutant). Biotechnol Progr. 2003, 19: 612-623. 10.1021/bp025658q.View Article
- Goodarzi H, Bennett BD, Amini S, Reaves ML, Hottes AK, Rabinowitz JD, Tavazoie S: Regulatory and metabolic rewiring during laboratory evolution of ethanol tolerance in E. coli. Mol Syst Biol. 2010, 6: 378-View Article
- Ezeji T, Milne C, Price ND, Blaschek HP: Achievements and perspectives to overcome the poor solvent resistance in acetone and butanol-producing microorganisms. Appl Microbiol Biotechnol. 2010, 85: 1697-1712. 10.1007/s00253-009-2390-0.View Article
- Burk MJ: Sustainable production of industrial chemicals from sugars. Int Sugar J. 2010, 112: 30-35.
- Zeng A, Biebl H: Bulk chemicals from biotechnology: the case of 1,3-propanediol production and the new trends. Adv Biochem Eng Biotechnol. 2010, 74: 239-258.
- Atsumi S, Hanai T, Liao JC: Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels. Nature. 2008, 451: 86-U13. 10.1038/nature06450.View Article
- Harris L, Desai R, Welker N, Papoutsakis E: Characterization of recombinant strains of the Clostridium acetobutylicum butyrate kinase inactivation mutant: need for new phenomenological models for solventogenesis and butanol inhibition?. Biotechnol Bioeng. 2000, 67: 1-11. 10.1002/(SICI)1097-0290(20000105)67:1<1::AID-BIT1>3.0.CO;2-G.View Article
- Ezeji T, Qureshi N, Blaschek H: Butanol fermentation research: Upstream and downstream manipulations. Chem Rec. 2004, 4: 305-314. 10.1002/tcr.20023.View Article
- Shen CR, Lan EI, Dekishima Y, Baez A, Cho KM, Liao JC: Driving forces enable high-titer anaerobic 1-butanol synthesis in Escherichia coli. Appl Environ Microbiol. 2011, 77: 2905-2915. 10.1128/AEM.03034-10.View Article
- Ding J, Huang X, Zhang L, Zhao N, Yang D, Zhang K: Tolerance and stress response to ethanol in the yeast Saccharomyces cerevisiae. Appl Microbiol Biotechnol. 2009, 85: 253-263. 10.1007/s00253-009-2223-1.View Article
- Shima J, Takagi H: Stress-tolerance of baker's-yeast (Saccharomyces cerevisiae) cells: stress-protective molecules and genes involved in stress tolerance. Biotechnol Appl Biochem. 2009, 53: 155-164. 10.1042/BA20090029.View Article
- Jarboe LR, Grabar TB, Yomano LP, Shanmugan KT, Ingram LO: Development of ethanologenic bacteria. Adv Biochem Eng Biotechnol. 2007, 108: 237-261.
- Zaldivar J, Martinez A, Ingram L: Effect of alcohol compounds found in hemicellulose hydrolysate on the growth and fermentation of ethanologenic Escherichia coli. Biotechnol Bioeng. 2000, 68: 524-530. 10.1002/(SICI)1097-0290(20000605)68:5<524::AID-BIT6>3.0.CO;2-T.View Article
- García V, Päkkilä J, Ojamo H, Muurinen E, Keiski R: Challenges in biobutanol production: how to improve the efficiency?. Renew Sust Energy Rev. 2011, 15: 964-980. 10.1016/j.rser.2010.11.008.View Article
- Almeida JRM, Modig T, Petersson A, Hahn-Hagerdal B, Liden G, Gorwa-Grauslund MF: Increased tolerance and conversion of inhibitors in lignocellulosic hydrolysates by Saccharomyces cerevisiae. J Chem Technol Biot. 2007, 82: 340-349. 10.1002/jctb.1676.View Article
- Mills TY, Sandoval NR, Gill RT: Cellulosic hydrolysate toxicity and tolerance mechanisms in Escherichia coli. Biotechnol Biofuels. 2009, 2: 26-10.1186/1754-6834-2-26.View Article
- Pienkos P, Zhang M: Role of pretreatment and conditioning processes on toxicity of lignocellulosic biomass hydrolysates. Cellulose. 2009, 16: 743-762. 10.1007/s10570-009-9309-x.View Article
- Peralta-Yahya PP, Keasling JD: Advanced biofuel production in microbes. Biotechnol J. 2010, 5: 147-162. 10.1002/biot.200900220.View Article
- Connor MR, Cann AF, Liao JC: 3-Methyl-1-butanol production in Escherichia coli: random mutagenesis and two-phase fermentation. Appl Microbiol Biotechnol. 2010, 86: 1155-1164. 10.1007/s00253-009-2401-1.View Article
- Aono R: Improvement of organic solvent tolerance level of Escherichia coli by overexpression of stress-responsive genes. Extremophiles. 1998, 2: 239-248. 10.1007/s007920050066.View Article
- Kobayashi K, Tsukagoshi N, Aono R: Suppression of hypersensitivity of Escherichia coli acrB mutant to organic solvents by integrational activation of the acrEF operon with the IS1 of IS2 element. J Bacteriol. 2001, 183: 2646-2653. 10.1128/JB.183.8.2646-2653.2001.View Article
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