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Applied and Environmental Microbiology, November 2005, p. 6606-6612, Vol. 71, No. 11
0099-2240/05/$08.00+0 doi:10.1128/AEM.71.11.6606-6612.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Department of Bioremediation, Centre for Environmental Research Leipzig-Halle (UFZ), Permoserstrasse 15, 04318 Leipzig, Germany,1 Environmental and Biotechnology Centre (UBZ), Permoserstrasse 15, 04318 Leipzig, Germany,2 Institute of Interdisciplinary Isotope Research (IIF), Permoserstrasse 15, 04318 Leipzig, Germany,3 Institute of Biotechnology, Swiss Federal Institute of Technology (ETH), 8093 Zurich, Switzerland,4 Chair of Chemical Biotechnology and Institute for Analytical Sciences, University of Dortmund, 44227 Dortmund, Germany5
Received 18 February 2005/ Accepted 16 June 2005
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To fulfill the needs for a certain process, the choice of an applicable organic solvent for a two-liquid-phase system depends on the substrates, the products, and the biocatalyst. The ideal solvent should be completely tolerated by the microorganism carrying out the biotransformation and should show high partitioning properties for the chosen substrates and resulting products. To allow an economically sound biotransformation process, both the substrates and the products should preferentially dissolve into the organic solvent phase. Each biotransformation process requires a series of experiments to test the behavior of the biocatalyst in the system.
Organic solvents with a log P (the logarithm of the partition coefficient of a solvent in a two-phase water-octanol standard system) between 1.5 and 4 are extremely toxic for most microorganisms (34). Therefore, the ideal solvents for two-liquid-phase fermentations were not applicable because they themselves were toxic to the biocatalysts. In 1989, Inoue and Horikoshi discovered a bacterial strain that was able to thrive in the presence of the toxic organic solvent toluene (15). The isolation and identification of several solvent-tolerant bacteria able to grow in the presence of organic solvents with toxic log P values like toluene (2.5) followed (13). Those discoveries were scientific breakthroughs that may help in overcoming limitations in industrial biotransformations and in expanding the applications of biocatalysts. The usage of solvent-tolerant bacteria as whole-cell biocatalysts in two-phase systems now allows the application of solvents with chemical properties needed for a successful implementation of whole-cell two-phase biotransformations.
One of the highly solvent-tolerant bacteria isolated is Pseudomonas putida DOT-T1E. This bacterium has been the subject of many investigations concerning the mechanisms responsible for these solvent tolerance properties (24, 31). The bacterium is well described regarding its degradation properties. Molecular biological tools for its genetic transformation have also been developed (23, 26). Thus, P. putida DOT-T1E represents an ideal biocatalyst for biotransformations.
The aim of this study was to investigate the tolerance and growth of P. putida DOT-T1E in a two-liquid-phase system of aliphatic alcohols such as 1-octanol (log P = 2.9) or 1-decanol (log P = 4). These solvents were chosen because they are not harmful to humans like toluene and are thus better applicable for industrial processes. Additionally, they both are suitable as the second phase in a two-liquid-phase system in order to realize the extraction of fine chemicals of interest. This process is an example for the use of desirable agents in biotechnological productions of fine chemicals in a bioreactor with two liquid phases.
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Culture conditions.
Pseudomonas putida DOT-T1E was cultivated in a mineral medium as described by Hartmans et al. (7), with Na2-succinate as the carbon and energy source. Adaptation of the cells to solvents was achieved by growing the cells semicontinuously in batch cultures with increasing concentrations of the solvents up to concentrations above saturation. Cells were grown in 50-ml shake cultures at 30°C in a horizontally shaking water bath. Growth was monitored by measuring the turbidity (optical density) at 560 nm (OD560). A 1-ml inoculum from an overnight culture was transferred to 50 ml fresh medium, and cells were grown exponentially for 3 to 4 h (until an OD560 of 0.6 was reached).
Incubation with toxins.
For the measurements of the toxic effects of the investigated compounds, toxins were added to exponentially growing, nonadapted cultures as described by Heipieper et al. (10). Cultures were incubated in the presence of the toxins for 2 h in a shaking water bath at 30°C. Then the cells were harvested, washed two times with potassium phosphate buffer (50 mM, pH 7.0), and stored at 20°C prior to their use for the lipid extraction.
Lipid extraction and transesterification.
The lipids were extracted with chloroform-methanol-water as described by Bligh and Dyer (1). Fatty acid methyl esters (FAME) were prepared by incubation for 15 min at 95°C in boron trifluoride-methanol by applying the method of Morrison and Smith (22). FAME were extracted with hexane.
Analysis of fatty acid composition by GC-flame ionization detection.
Analysis of FAME in hexane was performed using a quadruple gas chromatography (GC) system (HP5890; Hewlett-Packard, Palo Alto, Calif.) equipped with a split/splitless injector. A CP-Sil 88 capillary column (length, 50 m; inner diameter, 0.25 mm; 0.25-µm-thick film; Chrompack, Middelburg, The Netherlands) was used for the separation of the FAME. GC conditions were as follows: injector temperature was held at 240°C, and detector temperature was held at 270°C. The injection was splitless, and carrier gas was He at a flow of 2 ml/min. The temperature program was 40°C, 2 min isothermal, 8°C/min up to 220°C, and 5 min isothermal at 220°C. The pressure program was 27.7 lb/in2 (equal to 186.15 kPa), 2 min isobaric; 0.82 lb/in2/min (equal to 5.65 kPa/min) to the final pressure 45.7 lb/in2; and 5.55 min isobaric at 45.7 lb/in2 (equal to 310.26 kPa). The peak areas of the carboxylic acids in total ion chromatograms (TIC) were used to determine their relative amounts. The fatty acids were identified by GC and coinjection of authentic reference compounds obtained from Supelco (Bellefonte). The mean data of three independent experiments are shown in Fig. 1. The standard deviation was less than 5%.
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FIG. 1. Effect of 1-octanol (A) and 1-decanol (B) on growth (, ) and trans/cis ratio of unsaturated membrane fatty acids ( , ) of adapted (open symbols) and nonadapted (closed symbols) cells of P. putida DOT-T1E. The dashed lines mark the water solubility of the two solvents under the given conditions.
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Cellular K+ content.
One-milliliter samples from cells suspended in sodium phosphate buffer were harvested at regular intervals before and after the addition of solutes. Separation of cells from the supernatant was carried out by rapid centrifugation (Eppendorf table centrifuge, 13,000 rpm, 5 min). The cell pellet was disrupted by boiling in 5% trichloroacetic acid, and debris was removed by centrifugation. The K+ of the supernatant was measured by inductively coupled plasma-optical emission spectroscopy (ICP-OES) using Spectroflame P/M (SPECTRO Analytical Instruments, Kleve, Germany). All experiments were carried out three times; the average data of these results are shown in Fig. 2. The standard deviation was less than 10%.
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FIG. 2. Effect of 1-octanol and 1-decanol on the intracellular K+ concentration of nonadapted resting cells of P. putida DOT-T1E. To allow a comparison of the effects of the alkanols on membrane permeabilization, both compounds were added in concentrations that caused a 50% (1-octanol, 0.0225 [ ], and 1-decanol, 0.004 [ ] [vol/vol]) and 100% (1-octanol, 0.03 [ ], and 1-decanol, 0.0045 [ ]) (vol/vol) growth inhibition of P. putida DOT-T1E. , control.
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Fermentations.
The fermentations were carried out in a 5-liter fermentor (ISF-205; INFORS GmbH, Einsbach, Germany). Parameters such as temperature (°C), pH, CO2 output (%), O2 output (%), pO2 (%), airflow (liters/min), stirring (rpm), and total weight (kg) of the fermentor were monitored online. The used IRIS software (INFORS CONTROL AG, Bottmingen, Switzerland) allowed the control of the measured parameters. Data were obtained and recorded with the Servomex Analyzer Series 1400 (East Sussex, England). Standard parameters for fermentations were as follows: 30°C, pH 7.2, and 1,500 rpm. The fermentor was inoculated with an overnight culture in such a way that a starting OD560 of 0.08 was reached. Due to difficulties measuring the optical density in a dispersed two-phase system, we obtained growth data via measuring the protein content of the cells (2). In the computer-controlled fermentation unit, growth was continuously determined as CO2 production. For the fermentations carried out in this study, a direct correlation between CO2 production and protein content was observed.
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Microorganisms are able to adapt to the presence of toxic organic compounds using a whole cascade of adaptive mechanisms (for a review, see references 24 and 31). One adaptive mechanism enabling several Vibrio and Pseudomonas strains to grow in the presence of membrane-disrupting compounds is the isomerization of cis- to trans-unsaturated fatty acids (6, 9, 11). This mechanism could also be found in Pseudomonas putida DOT-T1E (16). The extent of the isomerization, usually expressed as the trans/cis ratio of unsaturated fatty acids, apparently correlates with the toxicity of organic compounds (8, 12). Therefore, we used the trans/cis ratio of unsaturated fatty acids as an indicator for stress and stress adaptation. In nonadapted cells, both solvents caused a strong dose-dependent increase in the trans/cis ratio of unsaturated fatty acids (Fig. 1). The cis-trans isomerase is thought to be a kind of urgent response mechanism for the bacteria to adapt to stress (11), which is then substituted by other long-term adaptive mechanisms (24). When these adaptive steps have taken place, the trans/cis ratio is reduced to nearly zero (6). Therefore, low trans/cis ratios are an indicator for a complete adaptation of the bacteria to the environmental condition. Adapted cells showed a very low trans/cis ratio in the presence of 1-decanol, which proves that the cells were completely adjusted and thus no longer stressed by the solvent. Contrary to that, 1-octanol also caused a reaction of the adapted cells in the form of a slight increase in the trans/cis ratio of their unsaturated fatty acids. This indicated an incomplete adaptation to 1-octanol, which was confirmed by a reduced and unstable growth in the presence of a second phase of this solvent (data not shown).
Effect of 1-octanol and 1-decanol on the cell membranes.
Organic solvents are known to be toxic to cells, mainly due to their effect on the membranes as so-called "membrane-active compounds" (13, 34). One of the first indications of membrane damage in bacteria caused by organic solvents is the efflux of potassium ions (9, 20). Different concentrations of 1-octanol and 1-decanol were added to resting cells. For a better comparison of the effects of the alkanols on membrane permeabilization, both compounds were added in concentrations that had caused similar growth inhibition effects on nonadapted cells of P. putida DOT-T1E (Fig. 1). Figure 2 shows the time scale of cellular potassium concentrations of resting cells after the addition of both alkanols. It is obvious that 1-octanol caused a much more drastic permeability increase, seen as a loss of cellular K+ content, than those concentrations of 1-decanol that had similar effects on growth of the cells. Obviously, 1-decanol had a less dramatic effect on membrane fluidity than comparable concentrations of 1-octanol. Although 1-decanol shows a much higher dose-dependent toxicity, the cell membranes seem to be less affected by this compound. This is another explanation for the easier adaptability of the cells to 1-decanol compared to 1-octanol.
Solvents in membranes.
A relationship has been established between the toxicity of a solvent for an organism and the partitioning of that solvent to octanol from the water phase in a standard system (37). The logarithm of the octanol-water partition coefficient is designated log P. This parameter was used to be an indicator of the solvent's partitioning from the aqueous medium into the membranes of microorganisms (33). It is generally accepted that it is the solvent's effects on the cytoplasmic membrane, where it will preferentially accumulate, that result in the destruction of the organism (34, 37). As a consequence of the high solvent concentrations in this compartment, the cell is no longer able to perform essential biochemical reactions and eventually loses its integrity. Various analytical techniques (13, 33) can be employed to determine the dose-response relationship of a solvent in a membrane (4). The different techniques reveal similar patterns, supporting the view that the actual membrane concentration of a solvent is an important parameter.
The solvent's membrane concentration depends on the concentration of the solvent in the water phase, the partitioning of the solvent from the water phase into the membrane, and the ratio of the volumes of the two liquid phases. Thereby, a correlation has been found between the log P value of a solvent and its partitioning between membrane and buffer (33): logmembrane/buffer = 0.97 x logoctanol/water 0.64.
Using this equation, it is possible to calculate the actual concentration of a solvent in a membrane if its concentration in the water phase is known (4, 33). We performed these calculations that had originally been done for toluene now with all even-numbered aliphatic alkanols. Odd-numbered aliphatic alcohols were not chosen because of their much higher price, which would not allow an economic application. The results also present the data of de Bont (4) for toluene as a reference compound and are summarized in Table 1.
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TABLE 1. Relation between partitioning of several organic compounds in octanol/water (log P), membrane/buffer, water solubility, and the maximum concentration in the membrane
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Calculating actual solvent concentrations in membranes helps us to understand the behavior of solvents in biological membranes. Apparently, P. putida DOT-T1E can easily adapt to a second phase of those compounds which show a maximum membrane concentration (MMC) of around 400 mM or lower, such as toluene, 1-decanol, or 1-dodecanol. However, toluene was not tested as a second liquid phase in this study. In the case of 1-octanol, the MMC seems to be too high to allow a complete adaptation to the presence of a second phase. This compound is tolerated by the bacteria but does not allow nonaffected stable growth in its presence. Similar results have already been reported by Rojas et al. (28). Alkanols with short chain lengths (such as 1-hexanol and 1-butanol) show very high water solubility. Their MMC is so high that no bacterium should be able to adapt to such a second phase. The lower MMC of 1-decanol compared to that of 1-octanol is not in contradiction with the higher toxicity of this compound toward nonadapted cells. The major parameter that determines toxicity is the hydrophobicity, at least in a range up to a log P of around 4. Indeed, the MMC allows only a prediction of the toxicity of a compound when added in the form of supersaturated concentrations.
The higher the chain length of an alkanol, the higher is its hydrophobicity and thus its tendency to accumulate preferentially in membranes (Fig. 3). However, as water solubility decreases with increasing chain length, a compound such as 1-dodecanol will not reach a high membrane concentration and is therefore not toxic to an organism. This is the reason why solvents in a log P range of 1.5 to 4 are so extremely toxic: because they are relatively water soluble and still partition well into the membrane. As a result, the actual membrane concentration of these solvents will be too high (33, 34, 37). Thus, this calculation method is a useful tool to predict whether a solvent-tolerant bacterium is able to adapt to a second phase of a certain compound in order to use it as solvent for two-liquid-phase biotransformations.
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FIG. 3. Relation between the chain length of 1-alkanols and their MMC calculated according to de Bont (4) and as described in the text.
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FIG. 4. Effect of the presence of a second phase of 0% (), 1% ( ), 5% ( ), and 10% ( ) (vol/vol) 1-decanol on growth inhibition caused by 3-nitrotoluene of shake cultures of P. putida DOT-T1E.
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FIG. 5. Growth of P. putida DOT-T1E in a 5-liter bioreactor in the absence and in the presence of a second phase of 10% (vol/vol) 1-decanol and in the presence of 10% (vol/vol) 1-decanol with subsequential additions (as indicated by the arrows) of 20 mM 3-nitrotoluene.
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Additionally, the presented calculations of the maximum membrane concentrations (Table 1) allow a better prediction of whether a potential solvent is tolerated by the biocatalysts. The partitioning of potential substrates and products between 1-decanol and water allows a prediction of maximum concentrations of fine chemicals within the whole fermentation system that will be tolerated by the bacteria. Thus, the application of a solvent-tolerant organism in such a 1-decanol-water system offers new possibilities in coping with toxic products.
P. putida DOT-T1E and related strains such as P. putida S12 set an example for bacteria which can tolerate solvents and are able to produce fine chemicals of interest in economically sound concentrations (14, 38). These bacteria contain at least three different solvent efflux pumps that play a major role in adaptation (32) and are therefore the most effective potential biocatalysts among all P. putida strains. Additionally, these strains are very accessible to genetic manipulation and genes from other microorganisms can easily be introduced, making it possible to obtain a wide range of products. Using this biotransformation system, many important fine chemicals with low molecular weight, including catechols, phenols, and ketones, could be produced in concentrations and with volumetric productivities that will allow competing with classical chemical syntheses.
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