A whole cell bioreporter assay with Burkholderia sartisoli RP037-mChe was developed to detect fractions of an organic contaminant (i.e., fluorene) available for bacterial degradation after active transport by mycelia bridging air-filled pores in a water unsaturated model system.
Bioavailability of contaminants is a prerequisite for their effective biodegradation in soil. The average bulk concentration of a contaminant, however, is not an appropriate measure for its availability; bioavailability rather depends on the dynamic interplay of potential mass transfer (flux) of a compound to a microbial cell and the capacity of the latter to degrade the compound. In water-unsaturated parts of the soil, mycelia have been shown to overcome bioavailability limitations by actively transporting and mobilizing organic compounds over the range of centimeters. Whereas the extent of mycelia-based transport can be quantified easily by chemical means, verification of the contaminant-bioavailability to bacterial cells requires a biological method. Addressing this constraint, we chose the PAH fluorene (FLU) as a model compound and developed a water unsaturated model microcosm linking a spatially separated FLU point source and the FLU degrading bioreporter bacterium Burkholderia sartisoli RP037-mChe by a mycelial network of Pythium ultimum. Since the bioreporter expresses eGFP in response of the PAH flux to the cell, bacterial FLU exposure and degradation could be monitored directly in the microcosms via confocal laser scanning microscopy (CLSM). CLSM and image analyses revealed a significant increase of the eGFP expression in the presence of P. ultimum compared to controls without mycelia or FLU thus indicating FLU bioavailability to bacteria after mycelia-mediated transport. CLSM results were supported by chemical analyses in identical microcosms. The developed microcosm proved suitable to investigate contaminant bioavailability and to concomitantly visualize the involved bacteria-mycelial interactions.
Soil is densely populated by a wide range of microorganisms1,2 such as bacteria. However, conditions in this habitat are challenging, especially in terms of water availability3. Bacteria permanently need to search for optimal conditions in heterogeneous environments4, but the absence of continuous water films is resulting in restricted mobility5 hindering them to spread freely. Also, diffusion rates of solutes (e.g., nutrients) are lowered under unsaturated conditions6. Thus, bacteria and nutrients are often physically separated and nutrient accessibility is limited3. As a consequence, a transport vector for chemical compounds which does not require a continuous water-phase could help to overcome these limitations. In fact, many microorganisms such as fungi and oomycetes have developed a filamentous growth form enabling them to grow through air-filled pore spaces thereby reaching and mobilizing also physical separated nutrients7 and carbonaceous8 substances over long distances. They may even act as biological transport vectors which deliver sugars and other energy sources to bacteria9. Uptake and transport in mycelial organisms has also been shown for hydrophobic organic pollutants such as polycyclic aromatic hydrocarbons (PAH) in Pythium ultimum10 or in arbuscular mycorrhizal fungi11. Since PAH are ubiquitous and poorly water soluble contaminants12 in soil, mycelia-mediated transport might help to increase contaminant bioavailability for potential bacterial degraders. Whereas the total amount of contaminant transport can be quantified directly by chemical means10, bioavailability of contaminants transported by mycelia to degrading bacteria and other organisms cannot be assessed easily.
The following protocol presents a method to evaluate the impact of mycelia on contaminant bioavailability to bacterial degraders in a direct manner; it allows gathering information about the spatiotemporal impact of contaminants on microbial ecosystems. We describe how to set up an elaborate unsaturated microcosm system mimicking air-water interfaces in soil by linking a physically separated PAH point source with PAH-degrading bioreporter bacteria via mycelial transport vectors. Because airborne transport is excluded, the effect of mycelial-based transport on PAH bioavailability for bacteria can be studied in an isolated way. In more detail, three-ring PAH fluorene, the mycelial organism Pythium ultimum and the bioreporter bacterium Burkholderia sartisoli RP037-mChe13 were applied in the described microcosm setups. The bacterium B. sartisoli RP037-mChe was originally constructed to study phenanthrene fluxes to the cell14 and expresses enhanced green fluorescent protein (eGFP) as a result of the PAH flux to the cell, whereas the red fluorescing mCherry is expressed constitutively. Detailed information on the reporter construction is given by Tecon et al.13 In preliminary tests, the bacterium revealed no swimming and only very slow swarming ability. It was able to migrate slowly on hyphae of Pythium ultimum when applied as a dense suspension on top of the hyphae. Since bacteria were embedded in agarose in the following protocol, migration on hyphae did not occur.
Using confocal laser scanning microscopy (CLSM), the bioreporter bacteria can be visualized directly in the microcosms and expression of eGFP can be quantified in relation to the amount of cells (proportional to the mCherry signal) with the help of the software ImageJ. This allows comparing bioavailability qualitatively in different scenarios (i.e., higher or lower). FLU was found to be bioavailable after mycelial transport by P. ultimum (i.e., it was higher than in a negative control). Furthermore, the protocol describes how to quantify the total amount of mycelia-mediated transport via chemical means and to verify contaminant bioavailability using silicon-coated glass fibers (SPME fibers) in identical microcosms. Results using this microcosm setup have been published and discussed for the combination of P. ultimum, fluorene and B. sartisoli RP037-mChe15. Here, the focus lies on a detailed method description and the identification of potential pitfalls of the protocol to provide this knowledge for potential further applications. Further applications may involve various fungal, bacterial species (e.g., from contaminated sites), and other contaminants (e.g., pesticides) or contaminant-supply (e.g., aged soils).
1. Preparation of Dishes, Slides and Incubation Chambers
2. Preparation of Media and Cultures
3. Microcosm Mounting
NOTE: The complete microcosm setup is depicted schematically in Figure 1. Please refer to Figure 1 for all following individual steps. The following steps are describing the preparation of a sample (SAM) with mycelial transport vectors and three different control setups (CONAIR, CONNEG, CONPOS). A summary of all different setups can be found in Table 1.
4. Confocal Laser Scanning Microscopy
5. Image Analysis
NOTE: To analyze red (mCherry) and green (eGFP) fluorescence in the z-stacks recorded, amongst other options the free software ImageJ18 (http://rsb.info.nih.gov/ij/download.html) can be used.
6. Chemical Quantification
NOTE: Microcosm setups may also be used to perform chemical quantification of translocated FLU amounts with or without an abiotic contaminant sink.
The results presented here have already been published earlier15. Please refer to the article for detailed mechanistic and environmental discussion.
After image recording via CLSM, a maximum intensity projection can be conducted using the respective microscope software or ImageJ to gain a first visual impression of the sample and the controls (Figure 2). Later, the data sets may be projected differently in order to show meaningful features by specific visualization software. The positive control (CONPOS) shows distinct eGFP induction (Figure 2A), whereas the airborne control (CONAIR) exhibits only background eGFP fluorescence (Figure 2B). eGFP fluorescence in the test sample (SAM) appears to be elevated compared to CONAIR, yet not as marked as CONPOS (Figure 2C). The mCherry fluorescence is independent from PAH degradation and therefore similar for all samples. However, slightly elevated eGFP signals will not be detected by this method and subsequent image analysis is essential.
For the tested microcosms, visual inspection was complemented by image analysis and calculation of relative eGFP induction (cf. step 5 ff of the protocol; Figure 3). The green background fluorescence for non-induced B. sartisoli RP037-mChe is calculated with CONNEG. Under the given conditions, the relative eGFP induction was found to be eGFPrel=0.53. No significant difference could be detected between CONNEG and CONAIR (eGFPrel=0.54; p>0.95) thus excluding any vapor-phase FLU transport towards the bioreporter cells. For CONPOS, highly elevated eGFP induction (eGFPrel=53.7) was found confirming the vitality of the cells in MMA after 96hr and representing the maximum eGFP induction. In the presence of mycelia and FLU (SAM), eGFP was induced significantly in the cells compared to the negative controls (eGFPrel=1.15; p<0.001). However, the eGFP induction is relatively low compared to the positive control (cf. Table 3, point 8).
Transport of FLU by mycelia of P. ultimum in the microcosm setup was quantified chemically (cf. step 6 ff of the protocol; Figure 4). In the presence of FLU and P. ultimum (SAM(-)), mycelia translocated about 25ng of FLU within 96hr which equals a transport rate of 37.5pmold-1cm-1. Controls in the absence of mycelia (CONAIR(-)) revealed gaseous FLU transport into the MMA in the range of only 2ng within 96hr, i.e., induction of the bioreporter by vapor-phase-concentrations could be excluded. When B.sartisoli RP037-mChe was present (SAM), < 1ng of FLU was detected in the MMA patch. This verified effective bacterial FLU degradation subsequent to the mycelia-mediated translocation.
It is possible to investigate the influence of bacterial degradation, i.e., of a FLU sink, on FLU translocation by adding an abiotic contaminant sink to the system (cf. step 6.4.1 ff of the protocol). Thus, one is able to quantify the amount of FLU absorbed by the fibers and the amount left inside of the MMA and overlying hyphae. For SAM(-), the total translocated amount is independent from the presence of a contaminant sink (p>0.9; Figure 5A). However, a microcosm with increased FLU uptake area was also tested as described in detail earlier15. There, a significant increase of the translocated FLU amount could be detected (Figure 5B).
Figure 1. Schematic drawing and photos of the complete microcosm setup. View from top (A) and from the side (B). All agar patches were placed on top of a slide with three small cavities. Two mg of FLU crystals were placed inside a cavity (d = 5 mm) in the middle of PDA 1. PDA 2 was freshly overgrown with hyphae of P. ultimum facing PDA 1. A curved PDA piece was placed between PDA 2 and the MMA patch to create a mechanical FLU barrier together with the lid of a Petri dish (d = 5 cm). Four agar patches containing activated carbon were placed in the setup to further decrease the gaseous FLU concentration. Photos of the complete microcosm from top (C) and diagonal view (D) without microorganisms and FLU. Figures 1A and 1B have been modified with permission from Schamfuss et al.15 Adapted with permission from Schamfuss, S. et al. Impact of mycelia on the accessibility of fluorene to PAH-degrading bacteria. Environ. Sci. Technol. 47, 6908-6915. Copyright (2013) American Chemical Society. Please click here to view a larger version of this figure.
Figure 2. Maximum intensity projections of confocal laser scanning micrographs. Micrographs are visualizing the mCherry and eGFP induction of the bioreporter bacterium B. sartisoli RP037-mChe in MMA. When the bacteria had contact to a crystalline FLU source in MMA (CONPOS; A), the eGFP signal is elevated compared to controls (CONAIR; B). Samples with FLU and P. ultimum (SAM; C) also show an elevated eGFP signal, however less marked than the positive control. mCherry is expressed constitutively and therefore serves as a visual control to detect the cells. (Magnification 630X, bar 20 µm). Please click here to view a larger version of this figure.
Figure 3. Relative eGFP induction in B.sartisoli RP037-Che for CONNEG, CONAIR and SAM with mycelia and FLU. Comparison of the relative eGFP induction (eGFPrel) by B.sartisoli RP037-Che after 96hr in the absence of FLU (CONNEG), in the presence of FLU but absence of P.ultimum (CONAIR) and in the presence of both FLU and P.ultimum (SAM). Statistically significant differences to CONNEG are marked by an asterisk. Experiments were performed in independent triplicates for CONAIR and SAM and duplicates for CONNEG, respectively. One sample was tested for CONPOS and eGFPrel was calculated with 53.7. This figure has been modified with permission from Schamfuss et al.15 Adapted with permission from Schamfuss, S. et al. Impact of mycelia on the accessibility of fluorene to PAH-degrading bacteria. Environ. Sci. Technol. 47, 6908-6915. Copyright (2013) American Chemical Society.
Figure 4. Chemical FLU quantification. Total amounts of FLU in ng extracted from the MMA patch (cf. Figure 1) after 96hr for vapor-phase transport without cells (CONAIR(-)), mycelial transport without cells (SAM(-)) and mycelial transport with cells (SAM). This figure has been modified with permission from Schamfuss et al.15 Adapted with permission from Schamfuss, S. et al. Impact of mycelia on the accessibility of fluorene to PAH-degrading bacteria. Environ. Sci. Technol. 47, 6908-6915. Copyright (2013) American Chemical Society.
Figure 5. Chemical FLU quantification in the presence of an abiotic contaminant sink. (A) Total amounts of FLU in ng extracted from the MMA patch (cf. Figure 1) after 96hr for mycelial transport with or without artificial contaminant sink (SAM(-) with or without PDMS coated fibers). (B) Same results for a varied test track with increased mycelial FLU uptake area. This figure has been modified with permission from Schamfuss et al.15 Adapted with permission from Schamfuss, S. et al. Impact of mycelia on the accessibility of fluorene to PAH-degrading bacteria. Environ. Sci. Technol. 47, 6908-6915. Copyright (2013) American Chemical Society.
Name | FLU | Mycelia | Cells | Application | Yorumlar |
SAM | + | + | + | CLSM | |
GC/MS | |||||
SAM(-) | + | + | – | GC/MS | also possible with PDMS fibers as artificial contaminant sink |
CONAIR | + | (+) | + | CLSM | mycelia only growing up to PDA barrier; MMA not covered |
CONAIR(-) | + | (+) | – | GC/MS | mycelia only growing up to PDA barrier; MMA not covered |
CONNEG | – | + | + | CLSM | |
CONPOS | + | – | + | CLSM | cells are directly exposed to FLU crystals |
Table 1. Overview of all sample types. Summary of all control and test samples including application (bioreporter assay – CLSM or chemical quantification – GC/MS) and composition (FLU, mycelia and bioreporter cells).
Oven | |
Initial temp | 50 °C |
Initial time | 2 min |
Rate | 15 °C min-1 |
Final temp | 300 °C |
Final time | 6.33 min |
Injector (PTV) | |
Injection Volume | 0.5 µl |
Mode | splitless |
Purge | 2.00 min |
Purge flow | 50.0 ml min-1 |
Initial temp | 80 °C |
Initial time | 0.02 min |
Ramps: Rate | 600 °C min-1 |
Final temp | 300 °C |
Final time | 10 min |
Column | |
Model | J&W DB-5MS |
Nominal length | 20 m |
Nominal diameter | 180 µm |
Nominal film thickness | 0.18 µm |
Carrier gas | helium 0.8 ml min-1 |
MSD Transferline | 280 °C |
MSD | |
Sim mode | |
MS Source | 230 °C |
MS Quad | 150 °C |
Table 2. Settings for GC/MS. Summary of all settings for GC and MS to quantify fluorene in the microcosm setups.
PITFALLS | COMMENT | |
1 | Preliminary growth and vitality tests | Study the growth of mycelial organism of choice. How long does it take to reach the MMA patch? Is it inhibited by the cycloheximide barrier? Also check whether bioreporter cells stay vital in MMA the whole time via plaiting assays. If not, one also may add a carbon source to the MMA which does not result in bioreporter induction. Exclude possible mutual inhibition of bacteria and mycelia. |
2 | Mycelial growth rate | The growth rate of the mycelial organism should not be too slow, because otherwise gas-phase transport of PAH increases with prolonged incubation time. The protocol may be adapted to add PAH at a later time point, but then again, mycelia at the inoculation point may not be active anymore. |
3 | Bacterial mobility | If a point scanning laser microscope is used and the bacterial strain is motile, the recording and quantification of z-stacks may be impossible due to movement inside of MMA. Thus, bacterial movement should be prevented, e.g., by increasing the solidity of MMA, by using CLSM with a fast scanner or a spinning disk laser microscope. |
4 | Vapor-phase transport | Vapor-phase transport of the chemical (e.g., PAH) towards the bioreporter cells must be excluded sufficiently since bioreporter cells are extremely sensitive to chemicals in the vapor-phase. This is the crucial point of the whole protocol in order to prevent false-positive results caused by gaseous transport. The gas phase concentration can be estimated via chemical analysis of CONAIR(-) and vapor-phase concentrations may be adjusted for example by adding more or less agarose patches with activated carbon. |
5 | Toxicity | Keep in mind, that high concentrations of the tested chemical might have toxic effects on the mycelial organism and/or bacteria. |
6 | Autofluorescence | Check if the chosen mycelial organism shows some autofluorescence in the range of the expected bioreporter signal. Be sure to check at different growth stages since autofluorescence may vary17. If autofluorescence is detected, be sure to record z-stacks in mycelia-free areas. |
7 | Bleaching | mCherry fluorescence is usually stable and not sensitive to bleaching in the applied bioreporter cells. In contrast, eGFP bleaches rather quickly. Therefore, don’t use the eGFP channel to visualize the sample prior to z-stack recording. |
8 | eGFP induction | We noticed a low eGFP induction in SAM compared to CONPOS. This is accounted for by the strong spatial restriction and low accessibility of the FLU source to maintain very low vapor-phase concentration of FLU (cf. last results paragraph). Depending on the chosen bioreporter strain and chemical, the uptake area at PDA 1 may be varied to increase the transport rate (Figure 5B). However, it has to be considered that this also increases vapor-phase transport towards the bioreporter cells. |
9 | Calculation of eGFPrel | The presented calculation method for eGFPrel where the intensity of green pixels is compared to the area of red pixels is only one possibility. Please refer to the discussion for further information. |
10 | Pixel size | Please be aware that the magnification of the chosen lens and a potentially applied zoom factor affect the pixel size of the image. This must be taken into consideration prior to image analysis. |
11 | Bioavailable fractions | Keep in mind that the bioavailability of the transported compound is assessed qualitatively (not quantitatively) via eGFP induction. No correlation of the calculated relative eGFP-induction and the bioavailable fraction was attempted. However, this may be addressed in future applications. |
12 | Detection limits | Chemical detection. For chemical quantification of organic compounds, a wide range of concentrations can be detected reliably. We detected amounts in the range 0ng and 1,000ng. eGFP quantification. We compared relative eGFP induction in samples without contaminant transport (i.e., 0ng transported), with mycelia-mediated transport (i.e., between 20 and 40ng transported; cf. Figures 4 and 5) and with direct contact to the contaminant source (i.e., maximum available amount). These three cases proved to be well distinguishable with the described method. However, we cannot make a more detailed statement on the resolution of the relative eGFP induction. This issue may be addressed in the future by linking different contaminant amounts with the correlating eGFP induction in the microcosm setups. |
13 | Petri dish material | Plastic Petri dishes may result in an underestimation of mycelial PAH translocation and/or bioavailability. This should not be problematic, if qualitative statements are aspired. In case precise quantitative measurements are required, application of glass Petri dishes should be considered despite preparation and handling will be more inconvenient. |
Table 3. Discussion of possible pitfalls. Possible pitfalls prior to and during the experiment and proposed comments and options.
The presented microcosm setup proved suitable to study bioavailability of spatially separated chemicals to degrading organisms after uptake and transport by mycelia. Potential gas-phase transport of partially volatile compounds is prevented and bacterial bioreporter cells can be visualized without elaborate sample preparation and thus with minimal disturbance of the sensitive system. At the same time, chemical analysis of the sample can be easily conducted allowing for a good control of the gained results and for quantification of the total transport. However, some points have to be carefully considered prior to and while performing the experiment. An important point is to keep the microcosms free of any bacterial or chemical cross contaminations. This can be challenging, since many microcosms are run in parallel and thus, big incubation chambers (such as desiccators) are required. Hence, it is crucial to sterilize all parts carefully prior to the setup construction. Another critical point may be the application of plastic Petri dishes for the microcosms. Although PAH and bioreporter do not get in direct contact, some amount of PAH may be absorbed by the plastic material. However, we consider this not problematic for the described protocol, since this would result, if any, in an underestimation of mycelial PAH-translocation and/or bioavailability. In any case, if precise quantification is required, it should be considered exchanging the plastic parts with glass parts, although handling will be more inconvenient. Other points that should be considered involve the chosen bacterial and fungal strains (possible mutual inhibition, growth rate, mobility and possible autofluorescence), the chosen chemicals (toxic effects on microorganisms, volatility, detection limits) and practical aspects (bleaching, limitation of eGFP induction and calculation of eGFPrel). A summary of potential pitfalls and respective comments can be found in Table 3.
We used this model microcosm setup to demonstrate mycelial FLU transport and subsequent bacterial degradation in an unsaturated system directly on a cell-mycelia interaction level. Our model set-up can be varied and adjusted to meet different needs with various bacterial and fungal strains, chemical compounds, etc. Thus, the system could be used for example (i) to evaluate the influence of mycelia on bacteria in the presence of an otherwise restricted chemical (e.g., toxic) source, (ii) to predict the influence of mycelia on the bioavailability of compounds for bacterial degradation, (iii) to study contaminant bioavailability depending on the distance of bacteria to the transport vector or (iv) to investigate the effect of different chemical sources (e.g., crystalline, in soil or dissolved). However, the adjustment of the system to alternate conditions will be delicate and should be conducted step by step in order to achieve clear results. So far, we have not tested the system for other bacterial or fungal strains and other compounds than PAH. However, since mycelial networks are known to transport also other contaminants than PAH like pesticides19 or soluble substances like salicylate20, we think that the system can be expanded to different chemical compounds given a compound-specific bacterial biosensor.
Please note that depending on the applied bioreporter strain a different calculation of eGFPrel might be preferable. Instead of equation (1) the two following options could be applied:
(2)
(3)
However, in the presented protocol equation (1) was chosen due to the following reasons: (i) eGFP intensity was reported to correlate to the PAH flux to the cell14 whereas (ii) mCherry was reported to show considerable variations for different cells13. Equation (2) and (3), in contrast, may be chosen to prevent false information from potential light artefacts in the sample. In any case, we compared all three calculation methods with each other, whereby no statistically significant differences could be found. Still, due to the reported variations in the fluorescence intensity of mCherry, we recommend using equation (1) or (2).
In the end, some limitations of the technique should be considered. Since the microcosms were designed to prevent gas-phase transport of the tested compound, mycelial uptake of the compound is reduced. This results in lower transport rates than would be expected with unhindered uptake. Hence, the sensitivity of the bioreporter strain must be high enough to detect small changes in bioavailable fractions. Further, the setup will probably not be suitable for fungal strains with a low growth rate. In this case, long term incubation might favor gas-phase transport of the contaminant thus leading to false-positive results. It might be possible to modify the setup in a way that the contaminant can be applied at a later time point. However, hyphae may then be already inactive or dead at the inoculation point. Finally, as stated above, the range of chemical compounds which are transported by mycelial networks is big. However, the availability of an appropriate bioreporter strain might be a limiting key factor.
The authors have nothing to disclose.
Funding by the German Environmental Foundation (DBU) is acknowledged. The authors thank Ute Kuhlicke for technical help with CLSM analysis and Birgit Würz, Rita Remer, and Jana Reichenbach for skilled experimental help. The authors would particularly like to thank Prof. Jan Roelof van der Meer and Dr. Robin Tecon for fruitful discussion and providing the bioreporter strain. It contributes to the ‘Chemicals in the Environment’ (CITE) research program of the Helmholtz Association.
Name of Reagent/ Equipment | Company | Catalog Number | Comments/Description |
Confocal Microscope | Leica | TCS SP5X, LAS AF – Version 2.6.1; or equivalent CLSM | |
GC HP 7890 Series GC and Agilent 5975C MSD | Agilent | an equivalent GC/MS may be used | |
GC capillary column J&W 121-5522 | Agilent | ||
Cork borer | Fisher Scientific | 12863952 | or any other |
Cover slips | Marienfeld | 107222 | High performance, No.1.5H |
GC/MS insterts | WICOM | WIC 47080 | |
GC/MS vials 2 ml | WICOM | WIC 41150 | |
Lids / septa for screw cap vials | DIONEX | 49463 / 049464 | |
Lids for GC/MS vials | WICOM | WIC 43948/B | |
Objective Slides | Menzel | ordinary | |
PDMS coated glass fibers | Polymicro Technologies, Inc. | V (PDMS) = 13.55 ± 0.02 µL m-1 | |
Petri Dishes small / big | Greiner | 633-102 / 628-102 | |
Screw cap vials 40 ml | DIONEX | 48783 | other glass vials may be used |
Screw cap vials 60 ml | DIONEX | 48784 | other glass vials may be used |
Acenaphthylene d08 | Dr. Ehrenstorfer | C 20510100 | |
Acetone | Carl Roth | 9372.2 | |
Activated carbon | Sigma-Aldrich | 242276-1kg | |
Agarose | Carl Roth | 2267.4 | |
Fluorene | Fluka | 46880 | |
Kanamycin sulfate | Carl Roth | T832.2 | 50 mg L-1 |
Methanol | Carl Roth | P7171 | |
Minimal Medium: | 100 mL solution 1 + 25 mL solution 2 + 5 mL solution 3 ad. 1000 mL aqua dest | ||
Solution 1 | |||
Ammonium sulfate | Carl Roth | 3746.1 | 5 g L-1 |
Magnesium chloride x 6 H2O | Carl Roth | 2189.1 | 1 g L-1 |
Calcium nitrate x 4 H2O | Carl Roth | P740.1 | 0.5 g L-1 |
Solution 2 | |||
Disodium phosphate | Carl Roth | P030.1 | 55.83 g L-1 |
Monopotassium phosphate | Carl Roth | 3904.1 | 20 g L-1 |
Solution 3 | pH 6.0 | ||
Disodium EDTA | MERCK | 1084180250 | 0.8 g L-1 |
Iron(II) chloride x 4 H2O | MERCK | 1038610250 | 0.3 g L-1 |
Cobalt(II) chloride x 6 H2O | Carl Roth | T889.3 | 4 mg L-1 |
Manganese(II) chloride x 1 H2O | Carl Roth | 4320.2 | 10 mg L-1 |
Copper(II) sulfate | Carl Roth | P023.1 | 1 mg L-1 |
Sodium molybdate x 2 H2O | Carl Roth | 0274.1 | 3 mg L-1 |
Zinc chloride | MERCK | 1088160250 | 2 mg L-1 |
Lithium chloride | Carl Roth | P007.1 | 0.5 mg L-1 |
Tin(II) chloride x 2 H2O | Carl Roth | 4473.1 | 0.5 mg L-1 |
Boric acid | Riedel-de-Haen | 11606 | 1 mg L-1 |
Potassium bromide | Carl Roth | A137.1 | 2 mg L-1 |
Potassium iodide | Carl Roth | 6750.1 | 2 mg L-1 |
Barium chloride | Carl Roth | 4453.1 | 0.5 mg L-1 |
MMA | Minimal medium + agarose 0.2 % | ||
Phenanthrene d10 | Dr. Ehrenstorfer | C 20920100 | |
Potato Dextrose Agar: | 24 g L-1 broth + bacto-agar 1.5 %; pH 6.8 | ||
Potato Dextrose broth | Difco/ Beckton Dickinson | 254920 | |
Bacto-agar | Difco/ Beckton Dickinson | 214040 | |
Sodium acetate x 3 hydr. | Carl Roth | 6779.1 | |
Sodium sulfate | MERCK | 1066495000 | |
Toluene | MERCK | 1083252500 | |
mTY medium: | 3 g L-1 yeast extract, 5 g L-1 bacto tryptone and 50 mM NaCl | ||
Yeast extract | Merck | 1037530500 | |
Tryptone | Serva | 4864702 | |
Sodium chloride | Carl Roth | 3957.1 | |
imageJ with logi tool plugin | http://rsb.info.nih.gov/ij/download.html and http://downloads.openmicroscopy.org/bio-formats/4.4.10 | ||
Pythium ultimum strain 67-1 | Obtained from the lab of Dr. Christoph Keel; Department of Fundamental Microbiology, University of Lausanne, Switzerland | ||
Burkholderia sartisoli RP037-mChe | Obtained from the lab of Prof. Jan Roelof van der Meer; Department of Fundamental Microbiology, University of Lausanne, Switzerland |