Fluorescence resonance energy transfer sensors for quantitative monitoring of pentose and disaccharide accumulation in bacteria
© Kaper et al; licensee BioMed Central Ltd. 2008
Received: 20 September 2007
Accepted: 03 June 2008
Published: 03 June 2008
Engineering microorganisms to improve metabolite flux requires detailed knowledge of the concentrations and flux rates of metabolites and metabolic intermediates in vivo. Fluorescence resonance energy transfer sensors represent a promising technology for measuring metabolite levels and corresponding rate changes in live cells. These sensors have been applied successfully in mammalian and plant cells but potentially could also be used to monitor steady-state levels of metabolites in microorganisms using fluorimetric assays. Sensors for hexose and pentose carbohydrates could help in the development of fermentative microorganisms, for example, for biofuels applications. Arabinose is one of the carbohydrates to be monitored during biofuels production from lignocellulose, while maltose is an important degradation product of starch that is relevant for starch-derived biofuels production.
An Escherichia coli expression vector compatible with phage λ recombination technology was constructed to facilitate sensor construction and was used to generate a novel fluorescence resonance energy transfer sensor for arabinose. In parallel, a strategy for improving the sensor signal was applied to construct an improved maltose sensor. Both sensors were expressed in the cytosol of E. coli and sugar accumulation was monitored using a simple fluorimetric assay of E. coli cultures in microtiter plates. In the case of both nanosensors, the addition of the respective ligand led to concentration-dependent fluorescence resonance energy transfer responses allowing quantitative analysis of the intracellular sugar levels at given extracellular supply levels as well as accumulation rates.
The nanosensor destination vector combined with the optimization strategy for sensor responses should help to accelerate the development of metabolite sensors. The new carbohydrate fluorescence resonance energy transfer sensors can be used for in vivo monitoring of sugar levels in prokaryotes, demonstrating the potential of such sensors as reporter tools in the development of metabolically engineered microbial strains or for real-time monitoring of intracellular metabolite during fermentation.
Recent economic and geopolitical factors have instigated efforts for the economically competitive conversion of biomass-derived carbohydrates to combustibles that can replace petroleum-based liquid fuels. Ethanol is used as a renewable transportation fuel replacing an increasing part of automotive fuel. In the US, ethanol is currently produced mainly by yeast-mediated fermentation of glucose derived from corn starch; however, the energy balance is not optimal . Lignocellulosic biomass is an alternative feedstock that can be fermented to ethanol or other biofuels after appropriate pretreatment. Lignocellulosic biofuels are expected to have significantly higher energy efficiency . Efficient utilization of lignocellulose will require engineering of the feedstock, deconstruction as well as fermentation . For example, the lignocellulose of corn fiber, in contrast to corn starch, contains hexoses as well as a variety of pentoses, such as xylose and arabinose, which are derived from hemicellulose and that are not efficiently fermented by the yeast Saccharomyces cerevisiae. Selection of suitable strains combined with genetic engineering of S. cerevisiae, Escherichia coli and Zymomonas mobilis are used to improve pentose utilization [4–7].
To facilitate the development of new nanosensors, here an expression vector is constructed that can be used for sandwiching any ligand-binding domain between FRET-ing GFP variants. In addition, an optimization strategy is applied to improve the signal of the FRET sensor. Given the importance of pentoses such as arabinose and disaccharides such as maltose for fermentation processes in biotechnology, we report the construction of a FRET sensor for the specific intracellular detection of the C5 sugar arabinose and the construction of an optimized nanosensor for monitoring the disaccharide maltose. Most importantly, and as a proof of concept, we demonstrate that these nanosensors can be used to measure steady-state concentrations and to monitor flux in bacteria, specifically E. coli, using simple fluorescence spectroscopy, that is, microplate fluorescence readers.
Construction of pGWF1, a phage λ recombination vector for terminal fusion of target genes to eCFP and Venus coding sequences
Most FLIP sensors have been constructed by fusion of the N- and C-termini of bacterial PBPs to enhanced cyan fluorescent protein (eCFP) and enhanced yellow fluorescent protein (eYFP) or Venus , an improved YFP variant, respectively, using traditional cloning techniques. These fluorescent proteins are variants of the GFP isolated from the marine jellyfish Aequorea victoria. To enable the facile construction of FLIPs and streamline the production of novel FLIP sensors, a phage λ recombination vector based on pRSET-B was designed for terminal fusion of target genes to the fluorescent protein variants under control of the T7 promoter. The pRSET-B vector encodes the β-lactamase gene (ampicillin resistance) and the phage f1 origin of replication for site-directed mutagenesis . In addition, the resulting vector pGWF1 sequentially encodes the eCFP gene-attR1 site-chloramphenicol acetyltransferase gene-ccdB gene-attR2-Venus gene. Any domain without a stop codon that has been amplified with primer-encoded attB sites can be sandwiched between eCFP and Venus through pDONR vectors (Invitrogen) using the Gateway technology. The fusion protein carries an N-terminal His6-affinity tag for facile purification from E. coli cell-free extracts.
Construction of an arabinose FRET nanosensor
In plants, arabinose is an important constituent of cell wall polysaccharides, for example, the pectic components rhamnogalacturonans and the cellulose-binding glucuronoarabinoxylans. Moreover, arabinose is a major component of hydroxyproline-rich glycoproteins and arabinogalactan proteins. To be able to monitor pentose levels in bacteria, an arabinose FRET sensor was constructed.
Monitoring intracellular arabinose levels in E. coli
Construction of an improved maltose sensor
In addition, a sensor was constructed in which the FRET acceptor fluorophore eYFP was replaced with the eYFP variant Venus. Compared with eYFP, Venus has a reduced maturation time, and is brighter and less sensitive to environmental factors , potentially resulting in a more robust maltose nanosensor. FLIPmal40μΔ1-V is characterized by an apparent Kd of 37 μM and exhibited no apparent differences in its ligand-binding properties compared with the variant with eYFP (data not shown).
Monitoring maltose flux in E. coli
To determine the steady-state levels of maltose at different maltose concentrations, maltose was added to E. coli cells expressing FLIPmal-40μΔ1-eYFP and eYFP/eCFP ratio changes were monitored (Figure 5B). Initial monitoring of the emission ratios yielded a stable baseline. Upon the addition of maltose, the ratio increased in a concentration-dependent manner. When the sensor response (after reaching a steady state) was plotted against the external maltose concentration, the concentration-dependent in vivo response can be fitted with a single-site binding curve. The apparent in vivo K0.5 was 7.4 mM; thus, the apparent intracellular steady-state maltose level is about 180-fold lower relative to external supply.
FLIP sensors have been developed for a wide range of ions, amino acids and mono- and disaccharides and have been used to address important biological problems, such as the release of glutamate from neurons [10, 11], the exchange of tryptophan against kynurenine in cancer cells  or the transport of glucose across the endoplasmic reticulum membrane . Here it has been shown that the nanosensor technology also has potential applications for fermentation processes in the food, pharmaceutical and biofuel industries, since the FRET sensors robustly and quantitatively report changes in intracellular ligand concentrations in microorganisms. In this study, both a novel arabinose FRET nanosensor as well as an improved maltose nanosensor were used to quantify intracellular ligand concentrations in bacterial cell cultures in a 96-well microplate fluorimeter. These results demonstrate that, after addition of sugar, the rate of uptake exceeds the rate of metabolism in E. coli. Moreover, by using an injection module attached to the fluorimeter, it was possible to determine accumulation rates after the addition of the metabolite. Finally, the new Gateway-based vector system used here to construct the arabinose sensor will help to accelerate the development of novel sensors for other relevant compounds including xylose, one of the major cell wall-derived pentoses.
The apparent cytosolic steady-state levels of both arabinose and maltose were 20- to 200-fold lower in the cytosol compared with the extracellular medium, indicating the presence of a highly active metabolic flux that exceeds uptake rates even at high external levels. It should be noted that the maltose sensor also recognizes maltooligosaccharides ; thus, the actual maltose levels in the cytosol may be even lower if maltose is rapidly converted into maltooligosaccharides. At low maltose concentrations, maltose is imported by the maltoporin LamB across the outer membrane, and then bound by the maltose PBP, which delivers maltose to the ATP-dependent ABC transporter . However, at high maltose levels, this system with an affinity of around 1 μM (LamB) is not essential since the growth of lamB mutants is unaffected at high maltose concentrations . Consistent with the responses observed here, low-affinity/high-capacity uptake systems predominate at 1 to 100 mM maltose (stationary BL21-Gold(DE3) cells, kept in LB at 4°C overnight to allow full folding of the fluorophores, then washed and incubated in M9 medium for 1 hour to ensure low endogenous maltose levels). Given the successful use of the sensors in other systems, it will be possible to use physiological conditions; moreover, this system can be used to identify the nature of the low-affinity transport system.
The carbohydrate polymer loading in lignocellulosic biomass feedstock saccharification is typically at least 10%, resulting in monosaccharide concentrations up to several 100 mM, which is higher than encountered by fermentative organisms in nature and might result in increased carbon flux into undesired pathways . In addition, different organisms have a preference for fermenting one monosaccharide over another resulting in inefficient use of the feedstock substrate . Nanosensors might aid in identifying conditions of metabolite accumulation as a result of obstruction in, or repression of, metabolic pathways. An absence of, or decrease in, intracellular metabolite levels would indicate a lack of external supplies caused for instance, by the inhibition of uptake systems.
In this study, a sensor for monitoring intracellular levels of the pentose arabinose has been described, which was constructed by sandwiching the arabinose-binding protein gene of E. coli between the fluorophore genes in the Gateway destination vector pGWF1. The other main pentose present in cell walls of biofuel feedstocks such as corn fiber is xylose . Given the success in generating FRET sensors for ribose, arabinose, glucose, maltose and sucrose using this concept [9, 19–21], analogously, xylose sensors may be constructed using identified xylose-binding proteins as sensing domains [22, 23]. The developed Gateway-based cloning system enables rapid fusion of new recognition elements into a vector containing flanking fluorescent proteins. In addition, the linker deletion strategy used for optimization of the maltose sensor can be applied to metabolite sensors with high signal-to-noise ratios such as those shown here for the arabinose and unmodified maltose sensors. Given the wide spectrum of naturally available scaffolds that can be used for constructing additional FRET sensors relevant for metabolite analysis in relation to biofuels, the Gateway system and linker optimization strategy promise the rapid development of a suite of efficient FRET sensors for applications in bioengineering.
Furthermore, the high dynamic range of the responses, specifically shown in Figure 5A for maltose accumulation in E. coli make them suitable for use in high-throughput screens in, for instance, strain optimization. The technology is simple and fast to use and complements flux analysis by alternative methods, such as isotope pulse labeling combined with mass-spectroscopy . The data shown here demonstrate that FRET nanosensors can be used in prokaryotes and as such, have potential applications for the development of strains for the production of biofuels. The analysis of metabolite flux using an array of sensors will be valuable for ongoing efforts in kinetic modeling of carbohydrate fermentation in biofuel-producing organisms such as Zymomonas mobilis .
Chemicals, strains and plasmids
All chemicals, including D/L-arabinose and maltose were of analytical grade and purchased from Sigma-Aldrich. E. coli TOP10F' was used as the cloning host and E. coli BL21-Gold(DE3) was used as the protein production host. pRSET-B (Invitrogen) and pGWF1 (see below) were used for E. coli expression. eCFP and eYFP were obtained from Clontech; Venus was a generous gift from Dr Atsushi Miyawaki, Riken, Japan.
Construction of pGWF1, a Gateway vector for linear fusion of target genes between eCFP and Venus coding sequences
The gateway-compatible expression vector pGWF1 was constructed from pFLIPmal (malE_Ec with N-terminal eCFP and C-terminal eYFP; see ) first by constructing pFLIPmal_Venus via cloning of a Venus polymerase chain reaction (PCR) product into the AgeI and HindIII sites, replacing eYFP with Venus. Subsequently, unique XhoI and KpnI-EcoRV sites were introduced at the 5'- and 3'-ends of the eCFP coding region by site-directed mutagenesis; EcoRV-SpeI and PspOMI sites were introduced at the 5'- and 3'-ends of the Venus coding region. This construct was digested with EcoRV, producing a blunt-ended vector into which the Gateway Reading Frame A (a 1.6-kb fragment containing the chloramphenicol-resistant gene and the ccdB gene flanked by attR sites) was cloned according to manufacturer's protocol (Invitrogen).
Construction of an arabinose FRET nanosensor
The araF gene (EMBL: K00420) was amplified from E. coli K12 genomic DNA using homologous primers (p1: ggggacaagtttgtacaaaaaagcaggctcgggtactcattcgtttttgccctacacaaaa, p2: ggggaccactttgtacaagaaagctgggttactagtcttaccacctaaaccttttttctcc (forward and reverse, respectively, araF sequence underlined), resulting in a PCR product that consisted of araF without a stop codon flanked by phage λ attB recombination sites. The araF gene was introduced into pDONR (Invitrogen) using a base pair recombinase reaction (Invitrogen) and was mobilized into pGWF1 (in frame fusion between eCFP and Venus coding sequences) using a LR recombination reaction (Invitrogen). The final construct was denoted by pGW1araF.Ec and the correct sequence of the araF gene was verified by DNA sequencing (Sequetech). The gene product encoded on pGW1araF.Ec was denoted by FLIParaF.Ec-250n.
In vitro characterization of the arabinose FRET nanosensor
FLIP constructs were transferred to E. coli BL21-Gold(DE3) and nanosensor proteins were produced and purified as described in . Purified sensor protein was added to a dilution series of ligand in 20 mM 3-(N-morpholino)propanesulfonic acid pH 7.0 in the range of 10-4 to 10-9 M and analyzed in a monochromator microplate reader (Safire, Tecan, Austria; eCFP excitation at 433 nm with 12 nm bandwidth, eCFP emission monitored at 485 nm with 12 nm bandwidth and Venus emission monitored at 530 nm with 12 nm bandwidth). eCFP emission is characterized by two emission peaks at 476 and 501 nm . The eCFP emission used for the ratio calculation was determined at 485 nm. Protein was diluted to give relative fluorescence units (RFUs) for Venus and eYFP of 20,000 to 30,000 RFU at a gain of 70 to 75. By using the change in relative emission intensities at 530/480 nm upon binding of ligand, affinity constants (Kd) were determined by fitting the titration curves to a single-site-binding isotherm:
R = Rapo + (Rsat - Rapo)·(n · [L])/(Kd + [L])
with: [L], ligand concentration; n, number of equal binding sites; R, ratio; Rapo, ratio in the absence of ligand; Rsat, ratio at saturation with ligand. Three independent protein preparations were analyzed; each protein preparation was analyzed in triplicate.
Construction of improved maltose FRET nanosensors
FLIPmal-225 μ, carrying the mutation W62A, was used as a base for generating improved FLIPmal sensors . Seventy-five nucleotides (25 amino acids; Figure 4A) of the linker regions were removed in FLIPmal-225 μ by site-directed mutagenesis  similar as previously done in the FLIPgluΔ13 series . This new FLIPmal sensor had a Kd for maltose of 200 μM and was denoted by FLIPmal-200 μΔ1-eYFP (FLIPmal-200 μΔ1-eYFP carries the mutation W62A). Affinity mutants of this sensor were created by structure-guided, site-directed mutagenesis of the binding pocket, yielding FLIPmal-40μΔ1-eYFP (carrying the mutation W230A in addition to W62A) and FLIPmal-1mΔ1-eYFP (carrying the mutation Y155A in addition to W62A). In addition, two sensors were constructed in which the first five amino acids of malE were deleted, which earlier had been shown to generate a sensor with a Kd in the low micromolar range . This five-amino-acid deletion in the W62A background gave a sensor with a Kd of 400 μM (FLIPmal-400μΔ1-eYFP). When W62A was reverted back to W62W, the affinity of the sensor was found to be 10 μM (FLIPmal-10 μΔ1-eYFP). When the clones were sequenced, an additional mutation (N227A) was found in FLIPmal-40μΔ1-eYFP, which probably occurred as an artifact during site-directed mutagenesis.
Monitoring of accumulation and relative flux rates using the FRET nanosensors
E. coli BL21-Gold(DE3) cells were transformed with pGW1FaraF.Ec, p982 or p3367, which encode an arabinose FLIP nanosensor with a Kd of 200 nM, a maltose FLIP nanosensor with a Kd of 25 μM, and a maltose FLIP nanosensor with a Kd of 40 μM, respectively. Cultures were incubated in LB in baffled Erlenmeyer flasks for 48 hours in the dark at room temperature while shaking, and stored for 16 hours at 4°C to ensure appropriate folding of the fluorophores. Cultures, 5 ml, were sedimented, washed in 10 ml M9 minimal salts medium, sedimented and resuspended in 9 ml M9 medium. Cells were dispended in a microplate at 90 μl per well. The sensor output was monitored in a microplate fluorescence spectrophotometer with indicated intervals. After a stable baseline was obtained, 10 μl of various concentrations of arabinose or maltose in M9 medium were added to the cells and the fluorophore emissions were recorded for another 20 minutes. eCFP ratios were normalized against cells to which 10 μl M9 medium had been added. To monitor accumulation rates, the injection module of a Tecan Infinite M200 (Tecan, Austria) was used.
enhanced cyan fluorescent protein
enhanced yellow fluorescent protein
fluorescent indicator protein
fluorescence resonance energy transfer
green fluorescent protein
periplasmic binding proteins
polymerase chain reaction
relative fluorescence unit.
We are grateful to Guy Hughes and Agnes Harms for excellent technical assistance. This work was made possible by a grant to WBF from NIDDK 1RO1DK079109-01. TK was partly sponsored by the Netherlands Organization for Scientific Research (NWO) through a Veni Impulse Grant ('Novel enzyme activities by combining computational design and laboratory evolution' 700.54.416).
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