- Open Access
The path to next generation biofuels: successes and challenges in the era of synthetic biology
© Dellomonaco et al; licensee BioMed Central Ltd. 2010
Received: 24 September 2009
Accepted: 20 January 2010
Published: 20 January 2010
Volatility of oil prices along with major concerns about climate change, oil supply security and depleting reserves have sparked renewed interest in the production of fuels from renewable resources. Recent advances in synthetic biology provide new tools for metabolic engineers to direct their strategies and construct optimal biocatalysts for the sustainable production of biofuels. Metabolic engineering and synthetic biology efforts entailing the engineering of native and de novo pathways for conversion of biomass constituents to short-chain alcohols and advanced biofuels are herewith reviewed. In the foreseeable future, formal integration of functional genomics and systems biology with synthetic biology and metabolic engineering will undoubtedly support the discovery, characterization, and engineering of new metabolic routes and more efficient microbial systems for the production of biofuels.
The increased use of fossil fuels has caused greenhouse gas emissions and created undesirable damage to the environment. Current instability of oil supplies and the continuous fluctuation of prices have further ignited widespread interest in alternative energy sources. These factors, which revolve around economical, environmental, and geopolitical issues, are central to current interest in renewable energy sources .
An entire branch of biotechnology, referred to as "white biotechnology", embraces the bioproduction of fuels and chemicals from renewable sources. These technologies use living cells and enzymes to synthesize products that are easily (bio)degradable, require less energy and create less waste during their production or use than those produced from fossil resources.
While the concept of biofuels was conceived in the 1970s when the world faced a large-scale oil crisis, recent advances in synthetic biology [3, 4], metabolic engineering [4–7], and systems biology [8, 9] have generated a renewed interest in the production of biofuels. Microbial factories for the synthesis of biofuels and amenable to industrial applications are being constructed by assembling natural and de novo pathways that re-direct carbon to the desired products [10–16]. Gene expression is modulated to fine-tune microbial metabolism for optimal production and proteins engineered to acquire new catalytic activities or to improve native properties [17–19]. "omics" technologies have been developed to analyze and model systems in a holistic manner and address complex questions about the functioning of native and synthetic networks in microbial cells . New sequencing technologies (NST) enabling quick identification and analysis of genomic variations such as single nucleotide polymorphisms (SNPs), copy number variations (CNVs), translocations, and insertions and deletions [21, 22], are being instrumental to understand complex microbial environments, uncover diversity and characterize the genetic makeup of various species of microorganisms  that could hold promise for generating biofuels. Continuing efforts in the last decades in the field of metabolic engineering have paved the way to the engineering of efficient synthetic pathways for the production of biofuels [4, 6, 7, 11].
This review will focus on the role of metabolic engineering and synthetic biology as enabling technologies for the production of alcohol biofuels (i.e. ethanol and butanol). Although great efforts have been devoted to development of gaseous biofuels as well as the exploitation of the side-streams generated by the utilization of biomass for biofuels production (biorefinery concept), these topics are beyond the scope of this review and have been discussed elsewhere [24–26].
Renewable feedstocks for biofuels production
Many biomass feedstocks can be used for the production of biofuels (Fig. 1). These include agricultural lignocellulosic residues, edible and non-edible crops, and waste streams (e.g. bagasse from sugar manufacture, industrial by-products) (Fig. 1). Lignocellulosic biomass varies among species but generally consists of ~25% lignin and ~75% carbohydrate polymers (cellulose and hemicellulose)  and it is the largest known renewable carbohydrate source. Oil seed crops, on the other hand, are mainly composed of various triacylglycerols (TAGs), molecules consisting of three fatty acids chains (usually 18- or 16-C long) esterified to glycerol .
Starch (i.e. corn, wheat, barley, etc.) and sugar crops (i.e. cane, beet, etc.) are the primary feedstocks currently used for bioconversion to ethanol, while TAGs extracted from oil seed crops (i.e. soybean, oil palm, sunflower, etc.) are chemically esterified to biodiesel. Both of these processes are presently under debate since they employ edible feedstocks. As shown in Fig. 1, they are expensive and non-sustainable feedstocks that might adversely impact the food-feed chain. Lignocellulosic feedstocks can be converted into fuels either thermochemically or biologically (Fig. 1). Major challenges for biological conversion are posed by biomass recalcitrance. The cellulosic and hemicellulosic portions of biomass can be separated from the lignin and depolymerized by enzymatic hydrolysis to obtain the constituent sugars, mainly glucose, xylose, and arabinose (Fig. 1) . Conversely, since lignin serves as a structural material, it prevents access of hydrolytic enzymes, hindering its biological conversion. To overcome its recalcitrance, feedstock deconstruction is therefore required . Processing routes for oil seed crops instead entails pressing or solvent/supercritical extraction of triacylglycerols [29, 30].
In contrast, utilization of lignocellulosic or non-edible oil seed crops is sustainable and renewable . For example, many algal species have been found to grow rapidly and produce substantial amounts of triacylglycerols or oil (oleaginous algae). Therefore, it is forecasted that algae could be employed as cell factories to produce biofuels [31, 32]. Algae offer many advantages in the search for sustainable, renewable bioenergy feedstocks and have the potential to provide orders of magnitude more oil per acre of land than traditional oil seed crops . Further, algae can be grown in arid climates with brackish water or seawater and use carbon dioxide as nutrient. Open ponds will likely be the only cost and energy effective means of production for algal biofuels feedstocks for the foreseeable future . There are, though, major disadvantages associated with the use of open pond systems; they require highly controlled environments due to inherent threat of microbial contamination and yield low biomass concentration in the microalgal culture due to the limit of light penetration . Nevertheless, these problems are expected to be overcome or minimized by technology development/improvement.
Vast supplies of diverse renewable resources are therefore available for conversion to generic feedstock constituents (carbohydrates, polyols, fatty acids, etc.) that can be microbially converted into valuable fuels (Fig. 1).
Synthesis of biofuels from carbohydrate-based feedstocks
Six-carbon (6-C, hexoses) and five-carbon (5-C, pentoses) sugars are the most abundant biomass constituents. Several metabolic engineering and synthetic biology strategies have been implemented in the past decades to convert them, individually or as a sugar mixture, to different biofuels.
Conversion of sugars to ethanol
Synthetic biology and metabolic engineering have been extensively used in S. cerevisiae, Zymomonas mobilis and Escherichia coli to enhance ethanol fermentation (Fig. 2) [27, 35–38]. Many microorganisms, including bacteria and yeasts, can produce ethanol as the main fermentation product from carbohydrates . Since neither S. cerevisiae nor Z. mobilis, currently used to carry out industrial ethanol fermentation, can use xylose or arabinose (the most abundant lignocellulosic sugars, next to glucose), microorganisms other than S. cerevisiae have come to the forefront in bioethanol production from lignocelluosic biomass. Indeed, many microorganisms are able to efficiently utilize pentose sugars but cannot naturally produce ethanol at sufficient yield and productivity. Some microorganisms that utilize pentoses, such as the bacteria E. coli and Klebsiella oxytoca and the yeast Pichia stipitis, have been successfully engineered for ethanol production . Alternatively, pentose catabolic pathways have been expressed in ethanologenic microorganisms, such as the conventional yeast S. cerevisiae[40, 41] or the ethanologenic bacterium Z. mobilis. These efforts are discussed in detail below.
Two natural enzymatic pathways for xylose consumption are known to exist (Fig. 2), and both have been independently transferred to S. cerevisiae. In one pathway the conversion of D-xylose to D-xylulose is performed by a xylose isomerase (XI). Since yeasts can grow on and ferment xylulose, a heterologous bacterial xylose isomerase (XI) was expressed in S. cerevisiae for xylose catabolism. However, all early efforts using this approach failed despite successful cloning and expression of the gene xylA from Thermus thermophilus[43, 44] and Piromyces sp E2  which produced an active XI in S. cerevisiae. The failure was partially because xylose isomerase is strongly inhibited by xylitol, favoring isomerization equilibrium toward xylose formation. More recently, a genetically engineered strain expressing the heterologous xylA gene from the anaerobic fungus Piromyces sp E2a was evolved to anaerobically grow on xylose [38, 44] and produced high yield of ethanol (0.42 g/g xylose). This approach demonstrated that the S. cerevisiae metabolic pathway could be better engineered through a combination of rational and combinatorial approaches.
The second natural pathway primarily found in certain fungi and yeast species consists of two enzymatic steps: aldose (xylose) reductase (XR) and xylitol dehydrogenase (XDH) (Fig. 2). Approaches that have used this pathway for engineering S. cerevisiae rely on the corresponding genes (xyl 1 and xyl 2) from the xylose-fermenting yeast P. stipitis[45, 46]. The introduction of either pathway enables S. cerevisiae to consume xylose . However, this strategy was not successful, because the recombinant strain, which converts xylose to xylulose by the combined action of NADPH-dependent xylose reductase and NAD-linked xylitol dehydrogenase, cannot sustain its anaerobic growth due to an imbalance of reducing equivalents (i.e., NADH accumulation and NADPH depletion), which also results in the excretion of xylitol . This is because the NADH generated by the xylitol dehydrogenase reaction cannot be used to produce NADPH for xylose reduction due to the lack of a transhydrogenase that interconverts NADPH and NADH . Although the reducing equivalents in excess could be effectively removed via aeration, this would shift cell metabolism from fermentation to respiration and limit ethanol production. Various approaches to alleviate the cofactor imbalance have been reported, including the control of XR/XDH expression ratio to a low value , mutations to reduce the affinity of XR for NADPH  and XDH for NAD+, and shifting the cofactor specificity of XDH from NAD+ to NADP+. The ammonium assimilation pathway mediated by two glutamate dehydrogenases was altered by deleting GDH1 (NADPH-dependent) and overexpressing GDH2 (NADH-dependent), resulting in 44% reduction in xylitol accumulation and 16% increase in ethanol yield . Metabolic flux analysis using 13C labeling showed that the modification had shifted the cofactor preference of XR from NADPH to NADH . Z. mobilis, another ethanologenic bacterium, is able to produce high titers of ethanol from glucose and sucrose, but not pentoses. To introduce xylose metabolism, E. coli genes encoding for xylose isomerase, xylulokinase, transketolase, and transaldolase were expressed in Z. mobilis CP4 (pZB5), allowing for growth on xylose with 86% ethanol yield . Similarly, arabinose metabolism was introduced in Z. mobilis ATCC39676 (pZB206) by expression of E. coli genes araABD (L-arabinose isomerase, L-ribulokinase, L-ribulose-5-P-4-epimerase), as well as genes encoding for transketolase and transaldolase, resulting in growth on arabinose with 98% ethanol yield . In both cases, xylose or arabinose are first converted to xylulose-5-P, and then proceed into the pentose phosphate pathway to yield glyceraldehyde-3-P, which is an intermediate in the Embden-Meyerhof-Parnas (EMP) pathway (Fig. 2). The recombinant Z. mobilis can produce ethanol from pentoses only at low concentrations, limiting its potential for industrial applications .
An alternative to developing a pentose-fermenting ethanologenic strain is to construct synthetic pathways for ethanol production in hosts that can utilize pentoses. Wild-type E. coli has an excellent range of substrate utilization, including all the lignocellulosic sugars (glucose, xylose, arabinose, mannose, galactose) . E. coli also grows well under anaerobic and aerobic conditions, and can sustain high glycolytic flux. However, ethanol yield is poor because under fermentative conditions E. coli also produces lactic, acetic, formic, and succinic acids . Homoethanol fermentation in E. coli is hindered by redox imbalance. The pathway to ethanol starts from pyruvate, which is cleaved into acetyl-CoA and formic acid by pyruvate formate lyase (PFL) (Fig. 2). Reduction of acetyl-CoA to ethanol proceeds in two steps through acetaldehyde as intermediate; the multienzyme protein AdhE plays the role of acetaldehyde dehydrogenase and alcohol dehydrogenase, each requiring one NADH . Thus, on a triose basis the pathway from pyruvate to ethanol consumes two NADH, while glycolysis to pyruvate only provides one NADH (in conversion of glyceraledehyde-3-P to 1,3-bisphosphoglycerate). Therefore, ethanol production is balanced by other more oxidized products such as acetic acid (no NADH consumed). To circumvent the redox limitation of the endogenous ethanol pathway, pyruvate decarboxylase (PDC) and alcohol dehydrogenase (ADH) enzymes from Z. mobilis were expressed in E. coli, via a plasmid bearing an artificial pet (production of ethanol) operon containing the pdc and adhB genes . The transformation conferred homoethanol pathway, with ethanol accounting for 95% of the fermentation products. Also, redox balance is possible in the heterologous pathway because conversion of pyruvate to acetaldehyde and CO2 by PDC is nonoxidative, requiring only one NADH for the reduction of acetaldehyde to ethanol.
The pet operon was integrated into the pfl locus of E. coli B to take advantage of its strong, constitutive native promoters. However, the recombinants had low PDC expression, and therefore low ethanol yield . Selection on high chloramphenicol or aldehyde indicator plates resulted in analogous mutants with PDC expression comparable to that in the plasmid-bearing strain and Z. mobilis. Further deletion of fumarate reductase (ΔfrdABCD) reduced succinic acid production by 95%; the resulting strain, KO11, produced ethanol at 100% theoretical yield when grown on glucose or xylose in rich medium . Compared to the parent strain, KO11 exhibits higher maximum growth rate (30% higher) and glycolytic flux (50% higher). This is attributed to higher expression of the xylose catabolic genes, which came to light through global expression analysis using DNA microarrays . Directed evolution of KO11 by increasing ethanol concentration from 35 to 50 g/L resulted in strain LY01, which fermented xylose to 60 g/L ethanol titer with 85% yield [61, 62]. Microarray analysis revealed increased glycine metabolism and betaine synthesis in LYO1 compared to KO11, therefore linking ethanol tolerance to osmotic stress (glycine and betaine are protective osmolytes) . Addition of glycine or betaine was shown to increase ethanol tolerance in KO11 and allowed for the fermentation of 9% (w/v) of xylose to 4% (w/v) ethanol in 48 hours . More recently Kim et al. reported homoethanol fermentation from xylose and glucose using native E. coli genes with yields up to 82%, by combining the activity of pyruvate dehydrogenase, usually aerobic, with the alcohol dehydrogenase one .
Arabinose is another pentose sugar obtained upon deconstruction of biomass. There are two different arabinose utilization pathways in nature, bacterial and fungal. The bacterial pathway is redox-balanced and encompasses three enzymatic steps, whereas the fungal pathway consists of five enzymes, including four oxidoreductases, and is characterized by a redox imbalance. Both pathways have been independently expressed in yeast [65, 66]. The results obtained with the recombinant S. cerevisiae strain engineered with the heterologous fungal pathway showed growth on L-arabinose, although at a very low rate . Recently, a mutant yeast strain which anaerobically converts arabinose to ethanol in batch fermentation was reported . This strain was obtained by introducing the bacterial pathway for arabinose utilization from Lactobacillus plantarum, overexpressing S. cerevisiae genes encoding the nonoxidative PPP enzymes, and subsequent evolutionary engineering. An ethanol yield of 0.43 g/g carbohydrate consumed and a specific ethanol production rate of 0.29 g/g/h from arabinose as the sole carbon source were achieved.
Conversion of sugars to butanol
A similar synthetic strategy was also investigated in S. cerevisiae. The effect of two different thiolases, alternative to the native S. cerevisiae Erg 10, on butanol production was evaluated. AtoB, the native E. coli enzyme, had been shown to efficiently catalyze the conversion of acetyl-CoA to acetoacetyl-CoA , while PhaA from Ralstonia eutropha had been previously reported as very active  and yielded the highest butanol titer (1 mg/l). Also, since growth under fermentative conditions usually leads to the accumulation of reducing equivalents (NADH), the use of Hbd, a NADH-dependent 3-hydroxybutyryl-CoA dehydrogenase isoform, was investigated as alternative to PhaB, which is NADPH-dependent. While a combination of different isoforms of 3-hydroxybutyryl-CoA with the different thiolases showed that PhaA and PhaB had most likely been optimized by evolution to work perfectly in concert, the best match for butanol production was shown to be the native yeast thiolase (Erg10) in combination with the NADH-dependent 3-hydroxybutyryl-CoA dehydrogenase . Heterologous expression of the crotonase (Ccr) from S. collinus in place of the clostridial Etf-dependent led to somewhat higher titers but was still limited to 2.5 mg/l of butanol .
Several species of solventogenic bacteria are also very attractive from a biofuel production standpoint because of their capacity to utilize pentose sugars and certain other complex carbohydrates. Solvent production in clostridia is characterized by two physiological phases, acidogenic and solventogenic ; the latter, during which acetone, butanol and ethanol are synthesized, is closely coupled to sporulation . Metabolic engineering strategies in clostridia have aimed at improving the selectivity of products synthesis, increasing butanol tolerance and broadening the substrate utilization range . One of the earliest attempts in this direction was the overexpression of the native clostridial pathway for acetone production. Butanol and acetone pathways are indeed partially coupled . Amplification of the genes encoding for the acetoacetate decarboxylase and CoA transferase led to an increase in the amount of precursor of butanol production, butyryl-CoA, and as a consequence to higher butanol titers . Later studies have investigated the effect of solR, a putative transcriptional repressor, which negatively regulates the expression of genes associated with solventogenic metabolism . Although further studies are still needed to elucidate the mechanism of regulation, disruption of the solR gene led to an increase in butanol synthesis. Solvent tolerance and stress response in clostridia is very complex and it is linked also to expression of chaperones and modulation of fatty acids synthesis . Amplification of the heat shock gene products (groES, groEL) led to an increase in solvent tolerance, probably due to stabilization of the solventogenic enzymes . Lastly, significant efforts are directed toward the development of a cellulolytic capacity in C. acetobutylicum that could allow for direct utilization of cellulose. Cellulanase from C. cellulovorans, C. cellulolyticum and C. thermocellum have been expressed in C. acetobutylicum, but high cellulose activities have yet to be achieved .
Sugar conversion to advanced biofuels
Hexose conversion to fuels is currently the most established route for biofuels production and has been further developed to produce a wide array of advanced biofuels (Fig. 4). To date, research into gasoline substitutes has focused largely on ethanol. However, biosynthetic and de novo pathways could potentially yield molecules that are similar or identical to those currently found in gasoline. These include straight- and branched-chain alkanes from fatty acids and isoprenoid pathways, in addition to higher alcohols and esters (Fig. 4). The wide array of fatty acids of different chain length and degree of saturation that are microbially produced could potentially provide an ideal mixture for a biofuel blend. Biodiesel from microalgal oil has been extensively investigated, but it is a process that still relies on chemical transesterification to produce the fuel molecules [87, 88]. In an alternative approach, Kalscheuer et al. recently reported an E. coli based process for the bacterial conversion of hexoses to microdiesel [89, 90]. The biosynthesis of fatty acids in bacteria is a well understood process, which draws from the pool of Acetyl-CoA [91, 92]. E. coli cells were metabolically engineered by introducing the PDC and ADH genes (pdc and adhB), respectively, from Z. mobilis for abundant ethanol production (see previous section and Fig. 2). The gene atfA for an unspecific acyltransferase from Acinetobacter baylyi was introduced to esterify ethanol with the acyl moieties of the CoA thioesters of fatty acids. Heterologous expression of these genes in the recombinant E. coli resulted in significant fatty acid ethyl ester (FAEE) biosynthesis. Although the FAEE yields obtained were significantly below the requirements of a viable industrial process, the feasibility of the approach was demonstrated in the study.
Isoprenoids have also been considered as potential source of biofuels . E. coli and S. cerevisiae strains have been developed for the overproduction of isoprenoids, due to their pharmaceutical and nutritional value . The two common precursors of isoprenoids are isoprenyl diphosphate (IPP) and dimethylallyl pyrophosphate (DMAPP), synthesized from glyceraldehyde-3-phosphate and pyruvate via the methylerythritol pathway or from acetyl-Coa through the mevalonate pathway (Fig. 4) . Recently two genes from Bacillus subtilis were reported that can convert the IPP precursor to isopentenol . The heterologous expression of a pyrophosphatase from Bacillus subtilis in E. coli enabled the production of isopentenol . Additionally, farnesol and farnesene were produced in E. coli and S. cerevisiae using a yeast phosphatase and certain plant terpene synthases, respectively . Even if the engineering of these pathways is still at early stage, these terpene molecules are developed as precursors to diesel fuels and could be potential components of next generation jet fuels [4, 97].
Isobutanol, an isomer of n-butanol with a higher octane number, was synthesized in E. coli by overexpressing the ilvIHCD operon, so to divert carbon from pyruvate to 2-ketoisovalerate (Fig. 4). To enhance isobutanol synthesis, competing pathways for pyruvate were disrupted and a slight increase in isobutanol production was observed . Additionally, an acetolactate from B. subtilis with higher affinity for pyruvate was overexpressed and pflB disrupted to allow for pyruvate accumulation. The implementation of the abovementioned strategies led to titers of 20 g/l of isobutanol . The aforementioned keto-acid mediated pathway also enables the synthesis of 5-C alcohols, such as 2-methyl-1-butanol and 3-methyl-1-butanol (Fig. 4). As for butanol production, 2-methyl-1-butanol is synthesized from 2-ketobutyrate. Hence, all the strategies discussed earlier for the synthesis of butanol via the keto-acid mediated are also applicable. The leuABCD operon was disrupted to increase product specificity. A combination of these approaches led to titers up to 1.25 g/l of 2-methyl-1-butanol . Similarly, 3-methyl-1-butanol production shares the same strategy used for isobutanol production, with which it competes for the common precursor 2-ketoisovalerate (Fig. 4). Carbon distribution between the two branches still remains a challenge. Leucine-resistant mutants have been utilized to overcome leucine feedback inhibition and pathways for valine and isoleucine formation have been disrupted. A titer of 1.28 g/l of 3-methyl-1-butanol was achieved .
Efficient utilization of sugar mixtures
Given the high complexity of lignocellulosic hydrolysates, metabolic engineering has been extensively used to develop recombinant strains of traditionally used ethanol producers such as S. cerevisiae and Z. mobilis, and enteric bacteria such as E. coli, that will efficiently ferment mixtures of glucose and xylose, and in some cases, arabinose . When grown on a mixture of sugars such as those obtained from plant biomass, wild-type E. coli exhibits sequential consumption of them, which is manifested in diauxic growth/diauxie. This is the result of carbon catabolite repression (CCR), a phenomenon in which the presence of a preferred substrate represses the expression of genes required for the metabolism of other substrates. Glucose is the preferred carbon source for E. coli and many other organisms, hence glucose-induced CCR is well known as the "glucose effect". Due to CCR, the fermentation of xylose, arabinose and other sugars derived from lignocellulosic biomass is delayed and frequently incomplete resulting in lower productivities and product yields (residual sugars are also problematic for downstream processing of products). Therefore, obtaining recombinant strains capable of efficiently fermenting sugar mixtures is a critical step in converting lignocellulosic sugars into valuable products.
CCR can take place by way of different mechanisms, such as permanent repression, transient repression, inducer exclusion, and inducer expulsion . In E. coli, CCR s mediated by the combined action of global and operon-specific regulatory mechanisms, referred to here as sugar-utilization regulatory systems (SURS). Global pathways that mediate SURS include the transcriptional activator CRP (c yclic AMP (cAMP) r eceptor p rotein), the signal metabolite cAMP, the enzyme adenylate cyclase, and the enzyme IIA component of the glucose-specific phosphoenolpyruvate:carbohydrate phosphotransferase system (PTS) (EIIAGlc; also called catabolite repression resistance (Crr) or EIIACrr). The PTS uses phosphoenolpyruvate as an ATP equivalent in active sugar transport. The glucose PTS protein IIAglc (crr) also exerts regulatory control on intracellular level of cAMP, which is an allosteric effector required in expression of catabolic enzymes for other sugars . Thus the PTS is responsible for the "glucose effect", i.e., glucose represses the utilization of less preferred carbon sources (e.g., xylose, arabinose), resulting in diauxic growth and sequential consumption of sugars. Disruption of the PTS relieves glucose repression on xylose and arabinose, and hence simultaneous sugar uptake takes place [101, 105, 106]. Because of impaired transport system, these PTS- mutants would exhibit decreased sugar uptake rates and therefore slower growth, but this deficiency is ameliorated by the activation of an alternative glucose transport and phosphorylation system composed of a glucose facilitator protein (or a galactose permease) and the enzyme glucokinase . This has been achieved in the above examples by either overexpressing the aforementioned components or by using an adaptive evolution approach that selects for PTS- variants that have recovered the ability to grow on glucose. An alternative approach to avoid CCR is the use of CRP mutants that do not require cAMP to activate the expression of catabolic genes (CRP* mutants) .
A recent study from Yomano and coworkers showed that disruption of the methylglyoxal synthase gene enhanced co-metabolism of sugar mixtures . Methylglyoxal, an intermediate in the methylglyoxal bypass that diverts carbon from dihydroxyacetone phosphate, is generally regarded as an inhibitor of sugar consumption [109, 110]. Deletion of mgsA had already previously proven to improve lactate production and was now applied to construction of ethanologenic E. coli.
Production of biofuels from non-carbohydrate feedstocks
Bio-oils consist of fatty acids (FAs) bonded to a backbone structure, typically glycerol, and therefore they are generally found in the form of triglycerides (i.e. triesters of FAs and glycerol). Bio-oils are not only abundant, but their use for fuel production also offers several advantages that translate into higher biofuel yield when compared to their production from lignocellulosic sugars. The advantages of using bio-oil components (i.e. glycerol and FAs) for biofuel production, along with recent engineering efforts in this area, are discussed below.
Conversion of fatty acids to biofuels
Conversion of glycerol-rich feedstocks to biofuels
Glycerol (or glycerin) is a byproduct of biodiesel, oleo-chemical, and bioethanol production processes. Due to the tremendous growth of the biofuels industry, glycerol is now regarded as a waste product with often a disposal cost associated to it . Given the highly reduced nature of carbon atoms in glycerol, additional advantages can be realized by using glycerol instead of sugars. For example, conversion of glycerol into the glycolytic intermediates phosphoenolpyruvate (PEP) or pyruvate generates twice the amount of reducing equivalents produced by the metabolism of glucose or xylose (Fig. 2 and 5). Fermentative metabolism would then enable higher yield of fuels and reduced chemicals from glycerol compared with those obtained from common sugars such as glucose or xylose.
E. coli cannot grow anaerobically due to an imbalance of the redox potential, e.g. accumulation of reducing equivalents . Trinh and coworkers have considered four different electron acceptors to test in silico the anaerobic conversion of glycerol . Electron acceptors can be in the form of substrates added to the medium or pathways that serve as redox sinks. Production of 1,3-propanediol, activation of the methylglyoxal pathway to produce 1,2-propanediol or substrates (e.g. fumarate, nitrate) feeding have been investigated as potential mechanisms enabling glycerol fermentation. Trinh and coworkers utilized oxygen as electron acceptor and employed elementary mode (EM) analysis to design an E. coli platform with minimized metabolic functionality that could efficiently convert glycerol to ethanol under microaerobic conditions. E. coli was tailored to efficiently produce ethanol from glycerol by inserting nine gene knock-outs (Δzwf Δndh ΔscfA ΔmaeB ΔldhA ΔfrdA ΔpoxB Δpta Δmdh) .
Although many microorganisms are able to metabolize glycerol in the presence of external electron acceptors (respiratory metabolism)[112, 114], few are able to do so fermentatively (i.e. in the absence of electron acceptors). Fermentative metabolism of glycerol has been studied in great detail in several species of the Enterobacteriaceae family, such as Citrobacter freundii and Klebsiella pneumoniae. However, the potential for using these organisms at industrial level is limited due to their pathogenicity, requirement of strict anaerobic conditions, the need for supplementation with rich nutrients, and a lack of appropriate genetic tools and physiological knowledge necessary for their effective manipulation.
A recent development in the microbial fermentation of glycerol is the discovery by our group that E. coli, an organism considered the workhorse of modern biotechnology, can anaerobically ferment glycerol [115–117]. Identification of pathways and environmental conditions affecting the metabolism of glycerol under anaerobic condition by wild type E. coli provided opportunities to manipulate this microorganism for enhancement of ethanol yield and productivity, as described below and shown in Figure 5.
Fermentation of glycerol to either ethanol and H2 or ethanol [115, 118] and formate is one of the most effective ways of exploiting the reduced property of glycerol for the production of biofuels. Disruption of genes that encode fumarate reductase (FRD) and phosphotransacetylase (PTA) in E. coli allowed for ethanol-H2 production . FRD and PTA are two key enzymes involved in the production of succinate and acetate, respectively [Fig. 5. The resulting strain (SY03) produced almost equimolar amounts of ethanol and hydrogen at a yield comparable to theoretical maximum of 1 mol of each product per mol glycerol . To facilitate co-production of formate and ethanol, an additional mutation was introduced in the gene (fdhF) encoding a component of the formate-hydrogen lyase (FHL). FHL is responsible for the oxidation of formate into H2 and CO2. This triple mutant strain, called SY04, produced exclusively ethanol and formate at yields 92-96% of the theoretical maximum. However, the strategies used in the generation of these mutants led to decrease in the growth rates of E. coli mutants . The overexpression of glycerol dehydrogenase (GldA) and dihydroxyacetone kinase (DHAK), responsible for converting glycerol into glycolytic intermediate dihydroxyacetone phosphate, was assessed for improving the growth rate of E. coli mutants. Overexpression of GldA and DHAK in the triple mutant SY04 led to production of ethanol and formate at maximum volumetric rates of 3.58 and 3.18 mmoles/L/h, respectively. Similarly, overexpression of GldA and DHAK in SY03 with mutations in two genes, frdA and pta, for co-production of ethanol-H2 led to production of ethanol at 4.6 mmol/L/h and ethanol and H2 yields at 0.96 mol per mol glycerol utilized, respectively. In a more recent study, Hu and coworkers  demonstrated higher growth rates along with increased hydrogen and ethanol titers under anaerobic conditions by using adaptive evolution and chemical mutagenesis. The utilization of microaerobic conditions was lately exploited as a means of eliminating the need for rich nutrients . Availability of low amounts of oxygen enabled redox balance while preserving the ability to synthesize reduced products. Experiments involving various mutants confirmed the role of both respiratory and fermentative pathways of glycerol utilization under microaerobic conditions and this metabolic process was harnessed by engineering strains for the efficient co-production of ethanol and hydrogen and ethanol and formate .
Lately, production of butanol from glycerol has also received increased attention [10, 11, 120, 121]. In recent years, research in this context has been mainly focused on clostridial species, namely Clostridium acetobutylicum and Clostridium beijerinckii, for which a pathway for butanol production from glucose has been established [83, 122, 123]. While C. acetobutylicum can metabolize glycerol in the presence of glucose , Clostridium pasteuranium can grow on glycerol as sole carbon source [120, 121]. Butanol production in C. pasteurianum on biodiesel-derived crude glycerol has been established [120, 121]. Taconi and coworkers reported yields up to 0.36 g butanol/g glycerol . Although this study proves the capability of this strain to grow and produce solvents on crude glycerol, growth of cultures was extremely slow (25 days), limiting therefore its immediate industrial applicability.
As aforementioned, E. coli offers a number of advantages compared to clostridia in terms of ease of industrial application and availability of genetic tools. Butanol production in E. coli on glucose has been established, and extensively reviewed above; conversion of glycerol to butanol has also been recently reported .
Conclusions and future directions
Metabolic engineering and the most recent synthetic biology have been crucial as enabling technologies for biofuels production, as evident in improvements of biocatalysts and the biomass feedstock itself. In surveying the literature on biocatalyst engineering, recurring themes emerge, namely strategies of the heterologous gene expression, evolutionary selection, and "reverse" metabolic engineering. Advances in the "omics" sciences are producing quantum leaps in our knowledge by probing cellular changes associated with new phenotypes and driving the construction of efficient microorganisms for biofuels production.
Latest advances in synthetic biology, metabolic engineering and systems biology will continue to power the development of cell factories producing substantial amounts of biofuels [6–9, 11, 13, 15, 16]. Formal integration of systems biology tools such as transcriptomics, proteomics, metabolomics, and fluxomics will support the characterization of new mutants and new metabolic pathways for the production of the desired fuel-grade products, thus contributing to the strain optimization process. The improvement of metabolic models will provide a better description of the physiological behavior of the cells and faster identification of targets for genetic modifications and further metabolic engineering. In addition, the development of detailed kinetic models that include accurate regulatory network parameters will facilitate the identification of enzymatic bottlenecks in the metabolic pathways that could be harnessed in order to achieve biofuels overproduction.
This work was supported by grants from the U.S. National Science Foundation (EEC-0813570, CBET-0645188, and BES-0331388/BES-0601549) and the National Research Initiative of the U.S. Department of Agriculture Cooperative State Research, Education and Extension Service (2005-35504-16698).
- Schubert C: Can biofuels finally take center stage?. Nat Biotechnol. 2006, 24 (7): 777-784. 10.1038/nbt0706-777.Google Scholar
- Schepens H: White biotechnology: gateway to a more sustainable future. 2003, EuropaBio. LyonGoogle Scholar
- Pleiss J: The promise of synthetic biology. Appl Microbiol Biotechnol. 2006, 73 (4): 735-739. 10.1007/s00253-006-0664-3.Google Scholar
- 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 (6): 556-563. 10.1016/j.copbio.2008.10.014.Google Scholar
- Bailey JE: Toward a science of metabolic engineering. Science. 1991, 252 (5013): 1668-1675. 10.1126/science.2047876.Google Scholar
- Keasling JD, Chou H: Metabolic engineering delivers next-generation biofuels. Nat Biotechnol. 2008, 26 (3): 298-299. 10.1038/nbt0308-298.Google Scholar
- Stephanopoulos G: Metabolic engineering: enabling technology for biofuels production. Metab Eng. 2008, 10 (6): 293-294. 10.1016/j.ymben.2008.10.003.Google Scholar
- Mukhopadhyay A, Redding AM, Rutherford BJ, Keasling JD: Importance of systems biology in engineering microbes for biofuel production. Curr Opin Biotechnol. 2008, 19 (3): 228-234. 10.1016/j.copbio.2008.05.003.Google Scholar
- Rodriguez-Moya M, Gonzalez R: Systems biology approaches for the microbial production of biofuels. Biofuels. 2010, doi: 10.4155/BFS.10.5Google Scholar
- Nielsen DR, Leonard E, Yoon S-H, Tseng H-C, Yuan C, Jones Prathera KL: Engineering alternative butanol production platforms in heterologous bacteria. Metab Eng. 2009, 11 (4-5): 262-273. 10.1016/j.ymben.2009.05.003.Google Scholar
- Clomburg JM, Gonzalez R: Biofuel production in Escherichia coli: the role of metabolic engineering and synthetic biology. Appl Microbiol Biotechnol. 2010, 10.1007/s00253-010-2446-1. Google Scholar
- Prather KLJ, Martin CH: De novo biosynthetic pathways: rational design of microbial chemical factories. Curr Opin Biotechnol. 2008, 19 (5): 468-474. 10.1016/j.copbio.2008.07.009.Google Scholar
- Stephanopoulos G: Challenges in engineering microbes for biofuels production. Science. 2007, 315 (5813): 801-804. 10.1126/science.1139612.Google Scholar
- Carothers JM, Goler JA, Keasling JD: Chemical synthesis using synthetic biology. Curr Opin Biotechnol. 2009, 20 (4): 498-503. 10.1016/j.copbio.2009.08.001.Google Scholar
- Picataggio S: Potential impact of synthetic biology on the development of microbial systems for the production of renewable fuels and chemicals. Curr Opin Biotechnol. 2009, 20 (3): 325-329. 10.1016/j.copbio.2009.04.003.Google Scholar
- Alper H, Stephanopoulos G: Engineering for biofuels: exploiting innate microbial capacity or importing biosynthetic potential. Nat Rev Microbiol. 2009, 7 (10): 715-723. 10.1038/nrmicro2186.Google Scholar
- Arnold FH, Volkov AA: Directed evolution of biocatalysts. Curr Opin Chem Biol. 1999, 3 (1): 54-59. 10.1016/S1367-5931(99)80010-6.Google Scholar
- Turner NJ: Directed evolution drives the next generation of biocatalysts. Nat Chem Biol. 2009, 5 (8): 567-73. 10.1038/nchembio.203.Google Scholar
- Wen F, Nair NH, Zhao H: Protein engineering in designing tailored enzymes and microorganisms for biofuels production. Curr Opin Biotechnol. 2009, 20 (4): 412-9. 10.1016/j.copbio.2009.07.001. Epub 2009 Aug 5.Google Scholar
- Ideker T, Galitski T, Hood L: A new approach to decoding life: Systems biology. Annu Rev Genomics Hum Genet. 2001, 2: 343-372. 10.1146/annurev.genom.2.1.343.Google Scholar
- Ferrer M, Beloqui A, Timmis KN, Golyshin PN: Metagenomics for mining new genetic resources of microbial communities. J Mol Microbiol Biotechnol. 2009, 16 (1-2): 109-123. 10.1159/000142898.Google Scholar
- MacLean D, Jones JDG, Studholme DJ: Application of 'next-generation' sequencing technologies to microbial genetics. Nat Rev Microbiol. 2009, 7 (4): 287-296.Google Scholar
- Medini D, Serruto D, Parkhill J, Relman DA, Donati C, Moxon R, Falkow S, Rappuoli R: Microbiology in the post-genomic era. Nat Rev Microbiol. 2008, 6 (6): 419-430.Google Scholar
- Borjesson P, Mattiasson B: Biogas as a resource-efficient vehicle fuel. Trends Biotechnol. 2008, 26 (1): 7-13. 10.1016/j.tibtech.2007.09.007.Google Scholar
- Hallenbeck PC, Ghosh D: Advances in fermentative biohydrogen production: the way forward?. Trends Biotechnol. 2009, 27 (5): 287-297. 10.1016/j.tibtech.2009.02.004.Google Scholar
- Henstra AM, Sipma J, Rinzema A, Stams AJM: Microbiology of synthesis gas fermentation for biofuel production. Curr Opin Biotechnol. 2007, 18 (3): 200-206. 10.1016/j.copbio.2007.03.008.Google Scholar
- Aristidou A, Penttila M: Metabolic engineering applications to renewable resource utilization. Curr Opin Biotechnol. 2000, 11 (2): 187-198. 10.1016/S0958-1669(00)00085-9.Google Scholar
- Himmel ME, Ding SY, Johnson DK, Adney WS, Nimlos MR, Brady JW, Foust TD: Biomass recalcitrance: engineering plants and enzymes for biofuels production. Science. 2007, 315 (5813): 804-807. 10.1126/science.1137016.Google Scholar
- Carr RA: Oil Seeds Processing. Technology and solvents for extracting oilseeds and nonpetroleum oils. Edited by: Wan PJ. 1997, Wakelyn PJ: AOCS PressGoogle Scholar
- Durrett TP, Benning C, Ohlrogge J: Plant triacylglycerols as feedstocks for the production of biofuels. Plant J. 2008, 54 (4): 593-607. 10.1111/j.1365-313X.2008.03442.x.Google Scholar
- Hu Q, Sommerfeld M, Jarvis E, Ghirardi M, Posewitz M, Seibert M, Darzins A: Microalgal triacylglycerols as feedstocks for biofuel production: perspectives and advances. Plant J. 2008, 54 (4): 621-639. 10.1111/j.1365-313X.2008.03492.x.Google Scholar
- Service RF: BIOFUELS ExxonMobil fuels Venter's efforts to run vehicles on algae-based oil. Science. 2009, 325 (5939): 379-379. 10.1126/science.325_379a.Google Scholar
- Dismukes GC, Carrieri D, Bennette N, Ananyev GM, Posewitz MC: Aquatic phototrophs: efficient alternatives to land-based crops for biofuels. Curr Opin Biotechnol. 2008, 19 (3): 235-240. 10.1016/j.copbio.2008.05.007.Google Scholar
- Brennan L, Owende P: Biofuels from microalgae - A review of technologies for production, processing, and extractions of biofuels and co-products. Renewable Sustainable Energy Rev. 2010, 14 (2): 557-577. 10.1016/j.rser.2009.10.009.Google Scholar
- Zaldivar J, Nielsen J, Olsson L: Fuel ethanol production from lignocellulose: a challenge for metabolic engineering and process integration. Appl Microbiol Biotechnol. 2001, 56 (1-2): 17-34. 10.1007/s002530100624.Google Scholar
- Ingram LO, Gomez PF, Lai X, Moniruzzaman M, Wood BE, Yomano LP, York SW: Metabolic engineering of bacteria for ethanol production. Biotechnol Bioeng. 1998, 58 (2-3): 204-214. 10.1002/(SICI)1097-0290(19980420)58:2/3<204::AID-BIT13>3.0.CO;2-C.Google Scholar
- Ostergaard S, Olsson L, Nielsen J: Metabolic engineering of Saccharomyces cerevisiae. Microbiol Mol Biol Rev. 2000, 64 (1): 34-50. 10.1128/MMBR.64.1.34-50.2000.Google Scholar
- Kuyper M, Winkler AA, van Dijken JP, Pronk JT: Minimal metabolic engineering of Saccharomyces cerevisiae for efficient anaerobic xylose fermentation: a proof of principle. Fems Yeast Res. 2004, 4 (6): 655-664. 10.1016/j.femsyr.2004.01.003.Google Scholar
- Chen YM, Lin ECC: Regulation of the adhE gene, which encodes ethanol dehydrogenase in Escherichia coli. J Bacteriol. 1991, 173 (24): 8009-8013.Google Scholar
- Nevoigt E: Progress in metabolic engineering of Saccharomyces cerevisiae. Microbiol Mol Biol Rev. 2008, 72 (3): 379-412. 10.1128/MMBR.00025-07.Google Scholar
- Matsushika A, Inoue H, Kodaki T, Sawayama S: Ethanol production from xylose in engineered Saccharomyces cerevisiae strains: current state and perspectives. Appl Microbiol Biotechnol. 2009, 84 (1): 37-53. 10.1007/s00253-009-2101-x.Google Scholar
- Zhang M, Eddy C, Deanda K, Finkestein M, Picataggio S: Metabolic engineering of a pentose metabolism pathway in ethanologenic Zymomonas mobilis. Science. 1995, 267 (5195): 240-243. 10.1126/science.267.5195.240.Google Scholar
- Walfridsson M, Bao XM, Anderlund M, Lilius G, Bulow L, Hahn-Hagerdal B: Ethanolic fermentation of xylose with Saccharomyces cerevisiae harboring the Thermus thermophilus xylA gene, which expresses an active xylose (glucose) isomerase. Appl Environ Microbiol. 1996, 62 (12): 4648-4651.Google Scholar
- van Maris AJA, Winkler AA, Kuyper M, de Laat W, van Dijken JP, Pronk JT: Development of efficient xylose fermentation in Saccharomyces cerevisiae : xylose isomerase as a key component. Biofuels. 2007, 108: 179-204. full_text.Google Scholar
- Jin YS, Lee TH, Choi YD, Ryu YW, Seo JH: Conversion of xylose to ethanol by recombinant Saccharomyces cerevisiae containing genes for xylose reductase and xylitol dehydrogenase from Pichia stipitis. J Microbiol Biotechnol. 2000, 10 (4): 564-567.Google Scholar
- Walfridsson M, Anderlund M, Bao X, Hahn-Hagerdal B: Expression of different levels of enzymes from the Pichia stipitis XYL1 and XYL2 genes in Saccharomyces cerevisiae and its effects on product formation during xylose utilisation. Appl Microbiol Biotechnol. 1997, 48 (2): 218-224. 10.1007/s002530051041.Google Scholar
- Jeffries TW, Jin YS: Metabolic engineering for improved fermentation of pentoses by yeasts. Appl Microbiol Biotechnol. 2004, 63 (5): 495-509. 10.1007/s00253-003-1450-0.Google Scholar
- Traff-Bjerre KL, Jeppsson M, Hahn-Hagerdal B, Gorwa-Grauslund MF: Endogenous NADPH-dependent aldose reductase activity influences product formation during xylose consumption in recombinant Saccharomyces cerevisiae. Yeast. 2004, 21 (2): 141-150. 10.1002/yea.1072.Google Scholar
- Bruinenberg PM, De Bot PHM, Vandijken JP, Scheffers WA: The role of redox balances in the anaerobic fermentation of xylose by yeasts. Eur J Appl Microbiol Biotechnol. 1983, 18 (5): 287-292. 10.1007/BF00500493.Google Scholar
- Jeppsson M, Bengtsson O, Franke K, Lee H, Hahn-Hagerdal R, Gorwa-Grauslund MF: The expression of a Pichia stipitis xylose reductase mutant with higher K-M for NADPH increases ethanol production from xylose in recombinant Saccharomyces cerevisiae. Biotechnol Bioeng. 2006, 93 (4): 665-673. 10.1002/bit.20737.Google Scholar
- Metzger MH, Hollenberg CP: Amino acid substitutions in the yeast Pichia stipitis xylitol dehydrogenase coenzyme-binding domain affect the coenzyme specificity. Eur J Biochem. 1995, 228 (1): 50-54. 10.1111/j.1432-1033.1995.tb20227.x.Google Scholar
- Roca C, Nielsen J, Olsson L: Metabolic engineering of ammonium assimilation in xylose-fermenting Saccharomyes cerevisiae improves ethanol production. Appl Environ Microbiol. 2003, 69 (8): 4732-4736. 10.1128/AEM.69.8.4732-4736.2003.Google Scholar
- Grotkjaer T, Christakopoulos P, Nielsen J, Olsson L: Comparative metabolic network analysis of two xylose fermenting recombinant Saccharomyces cerevisiae strains. Metab Eng. 2005, 7 (5-6): 437-444. 10.1016/j.ymben.2005.07.003.Google Scholar
- Deanda K, Zhang M, Eddy C, Picataggio S: Development of an arabinose-fermenting Zymomonas mobilis strain by metabolic pathway engineering. Appl Environ Microbiol. 1996, 62 (12): 4465-4470.Google Scholar
- Klinke HB, Thomsen AB, Ahring BK: Inhibition of ethanol-producing yeast and bacteria by degradation products produced during pre-treatment of biomass. Appl Microbiol Biotechnol. 2004, 66 (1): 10-26. 10.1007/s00253-004-1642-2.Google Scholar
- Böck A, Sawers G: Fermentation. Escherichia coli and Salmonella: Cellular and molecular biology. Edited by: Niedhardt FC, Curtiss IR, Lin ECC, Low KB, Magasanik B, Rezniko WS, Riley M, Schaechter M, Umbarger HE. 1996, Washington, D.C.: American Society for MicrobiologyGoogle Scholar
- Kessler D, Leibrecht I, Knappe J: Pyruvate-formate-lyase-deactivase and acetyl-CoA reductase activities of Escherichia coli reside on a polymeric protein particle encoded by adhE. Febs Lett. 1991, 281 (1-2): 59-63. 10.1016/0014-5793(91)80358-A.Google Scholar
- Ingram LO, Conway T, Clark DP, Sewell GW, Preston JF: Genetic engineering of ethanol production in Escherichia coli. Appl Environ Microbiol. 1987, 53 (10): 2420-2425.Google Scholar
- Ohta K, Beall DS, Mejia JP, Shanmugam KT, Ingram LO: Genetic improvement of Escherichia coli for ethanol production: chromosomal integration of Zymomonas mobilis genes encoding pyruvate decarboxylase and alcohol dehydrogenase II. Appl Environ Microbiol. 1991, 57 (4): 893-900.Google Scholar
- Tao H, Gonzalez R, Martinez A, Rodriguez M, Ingram LO, Preston JF, Shanmugam KT: Engineering a homo-ethanol pathway in Escherichia coli : increased glycolytic flux and levels of expression of glycolytic genes during xylose fermentation. J Bacteriol. 2001, 183 (10): 2979-2988. 10.1128/JB.183.10.2979-2988.2001.Google Scholar
- Yomano LP, York SW, Ingram LO: Isolation and characterization of ethanol-tolerant mutants of Escherichia coli KO11 for fuel ethanol production. J Ind Microbiol Biotechnol. 1998, 20 (2): 132-138. 10.1038/sj.jim.2900496.Google Scholar
- Yomano LP, York SW, Zhou S, Shanmugam KT, Ingram LO: Re-engineering Escherichia coli for ethanol production. Biotechnol Lett. 2008, 30 (12): 2097-2103. 10.1007/s10529-008-9821-3.Google Scholar
- 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 (2): 612-623. 10.1021/bp025658q.Google Scholar
- Kim Y, Ingram LO, Shanmugam KT: Construction of an Escherichia coli K-12 mutant for homoethanologenic fermentation of glucose or xylose without foreign genes. Appl Environ Microbiol. 2007, 73 (6): 1766-1771. 10.1128/AEM.02456-06.Google Scholar
- Becker J, Boles E: A modified Saccharomyces cerevisiae strain that consumes L-arabinose and produces ethanol. Appl Environ Microbiol. 2003, 69 (7): 4144-4150. 10.1128/AEM.69.7.4144-4150.2003.Google Scholar
- Richard P, Verho R, Putkonen M, Londesborough J, Penttila M: Production of ethanol from L-arabinose by Saccharomyces cerevisiae containing a fungal L-arabinose pathway. Fems Yeast Res. 2003, 3 (2): 185-189. 10.1016/S1567-1356(02)00184-8.Google Scholar
- Wisselink HW, Toirkens MJ, Berriel MDF, Winkler AA, van Dijken JP, Pronk JT, van Maris AJA: Engineering of Saccharomyces cerevisiae for efficient anaerobic alcoholic fermentation of L-arabinose. Appl Environ Microbiol. 2007, 73 (15): 4881-4891. 10.1128/AEM.00177-07.Google Scholar
- Carper J: The CRC Handbook of Chemistry and Physics. Library Journal. 1999, 124 (10): 192-+.Google Scholar
- Jones DT, Woods DR: Acetone-butanol fermentation revisited. Microbiol Rev. 1986, 50 (4): 484-524.Google Scholar
- Atsumi S, Cann AF, Connor MR, Shen CR, Smith KM, Brynildsen MP, Chou KJY, Hanai T, Liao JC: Metabolic engineering of Escherichia coli for 1-butanol production. Metab Eng. 2008, 10 (6): 305-311. 10.1016/j.ymben.2007.08.003.Google Scholar
- Inui M, Suda M, Kimura S, Yasuda K, Suzuki H, Toda H, Yamamoto S, Okino S, Suzuki N, Yukawa H: Expression of Clostridium acetobutylicum butanol synthetic genes in Escherichia coli. Appl Microbiol Biotechnol. 2008, 77 (6): 1305-1316. 10.1007/s00253-007-1257-5.Google Scholar
- Steen EJ, Chan R, Prasad N, Myers S, Petzold CJ, Redding A, Ouellet M, Keasling JD: Metabolic engineering of Saccharomyces cerevisiae for the production of n-butanol. Microb Cell Fact. 2008, 7: 8-10.1186/1475-2859-7-36.Google Scholar
- Hartmanis MGN, Gatenbeck S: Intermediary metabolism in Clostridium acetobutylicum : levels of enzymes involved in the formation of acetate and butyrate. Appl Environ Microbiol. 1984, 47 (6): 1277-1283.Google Scholar
- Martin VJJ, Pitera DJ, Withers ST, Newman JD, Keasling JD: Engineering a mevalonate pathway in Escherichia coli for production of terpenoids. Nat Biotechnol. 2003, 21 (7): 796-802. 10.1038/nbt833.Google Scholar
- Lee SY, Lee Y: Metabolic engineering of Escherichia coli for production of enantiomerically pure (R)-(-)-hydroxycarboxylic acids. Appl Environ Microbiol. 2003, 69 (6): 3421-3426. 10.1128/AEM.69.6.3421-3426.2003.Google Scholar
- Shen CR, Liao JC: Metabolic engineering of Escherichia coli for 1-butanol and 1-propanol production via the keto-acid pathways. Metab Eng. 2008, 10 (6): 312-320. 10.1016/j.ymben.2008.08.001.Google Scholar
- Yan Y, Liao J: Engineering metabolic systems for production of advanced fuels. J Ind Microbiol Biotechnol. 2009, 36 (4): 471-479. 10.1007/s10295-009-0532-0.Google Scholar
- Atsumi S, Liao JC: Directed evolution of Methanococcus jannaschii citramalate synthase for biosynthesis of 1-propanol and 1-butanol by Escherichia coli. Appl Environ Microbiol. 2008, 74 (24): 7802-7808. 10.1128/AEM.02046-08.Google Scholar
- Ross D: The acetone-butanol fermentation. Prog Ind Microbiol. 1961, 3: 71-90.Google Scholar
- Paredes CJ, Alsaker KV, Papoutsakis ET: A comparative genomic view of clostridial sporulation and physiology. Nat Rev Microbiol. 2005, 3 (12): 969-978. 10.1038/nrmicro1288.Google Scholar
- Lee SY, Park JH, Jang SH, Nielsen LK, Kim J, Jung KS: Fermentative butanol production by clostridia. Biotechnol Bioeng. 2008, 101 (2): 209-228. 10.1002/bit.22003.Google Scholar
- Mermelstein LD, Papoutsakis ET, Petersen DJ, Bennett GN: Metabolic engineering of Clostridium acetobutylicum ATCC 824 for increased solvent production by enhancement of acetone formation enzyme activities using a synthetic acetone operon. Biotechnol Bioeng. 1993, 42 (9): 1053-1060. 10.1002/bit.260420906.Google Scholar
- Nair RV, Green EM, Watson DE, Bennett GN, Papoutsakis ET: Regulation of the sol locus genes for butanol and acetone formation in Clostridium acetobutylicum ATCC 824 by a putative transcriptional repressor. J Bacteriol. 1999, 181 (1): 319-330.Google Scholar
- Tomas CA, Beamish J, Papoutsakis ET: Transcriptional analysis of butanol stress and tolerance in Clostridium acetobutylicum. J Bacteriol. 2004, 186 (7): 2006-2018. 10.1128/JB.186.7.2006-2018.2004.Google Scholar
- Tomas CA, Welker NE, Papoutsakis ET: 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 (8): 4951-4965. 10.1128/AEM.69.8.4951-4965.2003.Google Scholar
- Kim AY, Attwood GT, Holt SM, White BA, Blaschek HP: Heterologous expression of endo-beta-1,4-D-glucanase from Clostridium cellulovorans in Clostridium acetobutylicum ATCC 824 following transformation of the engB gene. Appl Environ Microbiol. 1994, 60 (1): 337-340.Google Scholar
- Chisti Y: Biodiesel from microalgae. Biotechnol Adv. 2007, 25 (3): 294-306. 10.1016/j.biotechadv.2007.02.001.Google Scholar
- Chisti Y: Biodiesel from microalgae beats bioethanol. Trends Biotechnol. 2008, 26 (3): 126-131. 10.1016/j.tibtech.2007.12.002.Google Scholar
- Kalscheuer R, Stolting T, Steinbuchel A: Microdiesel: Escherichia coli engineered for fuel production. Microbiol Sgm. 2006, 152: 2529-2536. 10.1099/mic.0.29028-0.Google Scholar
- Kalscheuer R, Stoveken T, Steinbuchel A: Engineered microorganisms for sustainable production of diesel fuel and other oleochemicals from renewable plant biomass. Intern Sugar J. 2007, 109 (1297): 16-19.Google Scholar
- Clark DP, Cronan JE: Two-Carbon compounds and fatty acids as carbon sources. Escherichia coli and Salmonella: cellular and molecular biology. 2005, Washington, D.C.: American Society for Microbiology, 343-357. 2Google Scholar
- Magnuson K, Jackowski S, Rock CO, Cronan JE: Regulation of fatty acid biosynthesis in Escherichia coli. Microbiol Rev. 1993, 57 (3): 522-542.Google Scholar
- Farmer WR, Liao JC: Improving lycopene production in Escherichia coli by engineering metabolic control. Nat Biotechnol. 2000, 18 (5): 533-537. 10.1038/75398.Google Scholar
- Dewick PM: The biosynthesis of C-5-C-25 terpenoid compounds. Nat Prod Rep. 1999, 16 (1): 97-130. 10.1039/a708935j.Google Scholar
- Withers ST, Gottlieb SS, Lieu B, Newman JD, Keasling JD: Identification of isopentenol biosynthetic genes from Bacillus subtilis by a screening method based on isoprenoid precursor toxicity. Appl Environ Microbiol. 2007, 73: 6277-6283. 10.1128/AEM.00861-07.Google Scholar
- Rude MA, Schirmer A: New microbial fuels: a biotech perspective. Curr Opin Microbiol. 2009, 12 (3): 274-281. 10.1016/j.mib.2009.04.004.Google Scholar
- Fortman JL, Chhabra S, Mukhopadhyay A, Chou H, Lee TS, Steen E, Keasling JD: Biofuel alternatives to ethanol: pumping the microbial well. Trends Biotechnol. 2008, 26 (7): 375-381. 10.1016/j.tibtech.2008.03.008.Google Scholar
- Atsumi S, Hanai T, Liao JC: Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels. Nature. 2008, 451 (7174): 86-U13. 10.1038/nature06450.Google Scholar
- Cann AF, Liao JC: Production of 2-methyl-1-butanol in engineered Escherichia coli. Appl Microbiol Biotechnol. 2008, 81 (1): 89-98. 10.1007/s00253-008-1631-y.Google Scholar
- Connor MR, Liao JC: Engineering of an Escherichia coli strain for the production of 3-methyl-1-butanol. Appl Environ Microbiol. 2008, 74 (18): 5769-5775. 10.1128/AEM.00468-08.Google Scholar
- Dien BS, Cotta MA, Jeffries TW: Bacteria engineered for fuel ethanol production: current status. Appl Microbiol Biotechnol. 2003, 63 (3): 258-266. 10.1007/s00253-003-1444-y.Google Scholar
- Stulke J, Hillen W: Carbon catabolite repression in bacteria. Curr Opin Microbiol. 1999, 2 (2): 195-201. 10.1016/S1369-5274(99)80034-4.Google Scholar
- Gorke B, Stulke J: Carbon catabolite repression in bacteria: many ways to make the most out of nutrients. Nat Rev Microbiol. 2008, 6 (8): 613-624. 10.1038/nrmicro1932.Google Scholar
- Reddy P, Kamireddi M: Modulation of Escherichia coli adenylyl cyclase activity by catalytic-site mutants of protein IIA(Glc) of the phosphoenolpyruvate: sugar phosphotransferase system. J Bacteriol. 1998, 180 (3): 732-736.Google Scholar
- Martinez A, York SW, Yomano LP, Pineda VL, Davis FC, Shelton JC, Ingram LO: Biosynthetic burden and plasmid burden limit expression of chromosomally integrated heterologous genes (pdc, adhB) in Escherichia coli. Biotechnol Progr. 1999, 15 (5): 891-897. 10.1021/bp990103p.Google Scholar
- Nichols NN, Dien BS, Bothast RJ: Use of catabolite repression mutants for fermentation of sugar mixtures to ethanol. Appl Microbiol Biotechnol. 2001, 56 (1-2): 120-125. 10.1007/s002530100628.Google Scholar
- Hernandez-Montalvo V, Valle F, Bolivar F, Gosset G: Characterization of sugar mixtures utilization by an Escherichia coli mutant devoid of the phosphotransferase system. Appl Microbiol Biotechnol. 2001, 57 (1-2): 186-191. 10.1007/s002530100752.Google Scholar
- Yomano LP, York SW, Shanmugam KT, Ingram LO: Deletion of methylglyoxal synthase gene (mgsA) increased sugar co-metabolism in ethanol-producing Escherichia coli. Biotechnol Lett. 2009, 31 (9): 1389-1398. 10.1007/s10529-009-0011-8.Google Scholar
- Totemeyer S, Booth NA, Nichols WW, Dunbar B, Booth IR: From famine to feast: the role of methylglyoxal production in Escherichia coli. Mol Microbiol. 1998, 27 (3): 553-562. 10.1046/j.1365-2958.1998.00700.x.Google Scholar
- Zhu MM, Skraly FA, Cameron DC: Accumulation of methylglyoxal in anaerobically grown Escherichia coli and its detoxification by expression of the Pseudomonas putida glyoxalase I gene. Metab Eng. 2001, 3 (3): 218-225. 10.1006/mben.2001.0186.Google Scholar
- Yazdani SS, Gonzalez R: Anaerobic fermentation of glycerol: a path to economic viability for the biofuels industry. Curr Opin Biotechnol. 2007, 18 (3): 213-219. 10.1016/j.copbio.2007.05.002.Google Scholar
- Booth IR: Glycerol and methylglyoxal metabolism. Escherichia coli and Salmonella: cellular and molecular biology. 2005, Washington, D.C.: ASM PressGoogle Scholar
- Trinh CT, Srienc F: Metabolic engineering of Escherichia coli for efficient conversion of glycerol to ethanol. Appl Environ Microbiol. 2009, 75 (21): 6696-6705. 10.1128/AEM.00670-09.Google Scholar
- Schuller HJ: Transcriptional control of nonfermentative metabolism in the yeast Saccharomyces cerevisiae. Curr Genet. 2003, 43 (3): 139-160.Google Scholar
- Yazdani SS, Gonzalez R: Engineering Escherichia coli for the efficient conversion of glycerol to ethanol and co-products. Metab Eng. 2008, 10 (6): 340-351. 10.1016/j.ymben.2008.08.005.Google Scholar
- Dharmadi Y, Murarka A, Gonzalez R: Anaerobic fermentation of glycerol by Escherichia coli : A new platform for metabolic engineering. Biotechnol Bioeng. 2006, 94 (5): 821-829. 10.1002/bit.21025.Google Scholar
- Murarka A, Dharmadi Y, Yazdani SS, Gonzalez R: Fermentative utilization of glycerol by Escherichia coli and its implications for the production of fuels and chemicals. Appl Environ Microbiol. 2008, 74 (4): 1124-1135. 10.1128/AEM.02192-07.Google Scholar
- Hongbo H, Wood TK: An evolved Escherichia coli strain for producing hydrogen and ethanol from glycerol. Biochem Biophys Res Commun. 2010, 391 (1): 1033-1038. 10.1016/j.bbrc.2009.12.013.Google Scholar
- Durnin G, Clomburg J, Yeates Z, Alvarez PJJ, Zygourakis K, Campbell P, Gonzalez R: Understanding and harnessing the microaerobic metabolism of glycerol in Escherichia coli. Biotechnol Bioeng. 2009, 103 (1): 148-161. 10.1002/bit.22246.Google Scholar
- Taconi KA, Venkataramanan KP, Johnson DT: Growth and solvent production by Clostridium pasteurianum ATCC (R) 6013 (TM) utilizing biodiesel-derived crude glycerol as the sole carbon source. Environ Prog Sustainable Energy. 2009, 28 (1): 100-110. 10.1002/ep.10350.Google Scholar
- Biebl H: Fermentation of glycerol by Clostridium pasteurianum - batch and continuous culture studies. J Ind Microbiol Biotechnol. 2001, 27 (1): 18-26. 10.1038/sj.jim.7000155.Google Scholar
- George HA, Johnson JL, Moore WEC, Holdeman LV, Chen JS: Acetone, isopropanol, and butanol production by Clostridium beijerinckii (syn. Clostridium butylicum) and Clostridium aurantibutyricum. Appl Environ Microbiol. 1983, 45 (3): 1160-1163.Google Scholar
- Mermelstein LD, Welker NE, Petersen DJ, Bennett GN, Papoutsakis ET: Genetic and metabolic engineering of Clostridium acetobutylicum ATCC 824. Ann NY Acad Sci. 1994, 721: 54-68. 10.1111/j.1749-6632.1994.tb47376.x.Google Scholar
- Vasconcelos I, Girbal L, Soucaille P: Regulation of carbon and electron flow in Clostridium acetobutylicum grown in chemostat culture at neutral pH on mixtures of glucose and glycerol. J Bacteriol. 1994, 176 (5): 1443-1450.Google Scholar
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