Team:Wageningen UR/overview/results

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<h4><a href="#results">Key Results</a></h4>
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<a href="#sensing">Sensing</a>
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<a href="#inhibition">Inhibition</a>
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<a href="#killswitch">Kill-Switch</a>
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<a href="#system_cost">System Model</a>
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<a href="#greenhouse">Green house</a>
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<a href="#short">In short</a>
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Revision as of 14:06, 17 October 2014

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Key Results

  • Sensing
  • Inhibition
  • Kill-Switch
  • System Model
  • Green house
  • In short

    • Key Results

    In this section we present the key results of the BananaGuard project (figure 1), which is a combination of both experimental and modelling work. We have designed implemented and tested a system that protects banana plants from Fusarium oxysporum by sensing fusaric acid and producing fungus growth inhibitors as a response. In addition we have also implemented a Kill-switch. For this, we have optimized de circuit deisgn, assesed the potential of BananaGuard in the soil, and analyzed the robustness of the system using different models.


    Figure 1: The BananaGuard time line. After application, BananaGuard will detect Foc based of fusaric acid secretion, produce fungal growth inhibitors and destroy itself when Foc can not be detected anymore.


    Sensing

    While fusaric acid dependent protection systems have been observed in microorganisms and mechanisms for this protection have been predicted in silico after genome sequencing, no evidence of a validated fusaric acid dependent promoter could be found in the literature.In this project we characterised and validated such a promoter. A putative fusaric acid dependent promoter along with its hypothesized regulator (isolated from Pseudomonas putida KT2440) were cloned in front of GFP(BBa_E0040), transformed in Pseudomonas putida KT2440 (P.putida). And fluoresence were measured in different fusaric acid concentration. We were able to validate and characterize a novel fusaric acid dependent promoter (Bba_K1493000).

    Figure 6.
    *Significantly different from WT.
    **Significantly different from WT, grouped together
    The measurement is based on GFP fluorescence in P. putida at increased concentrations of fusaric acid to prove and characterize the activity of the fusaric acid induced promoter, BBa_K1493000. For comparison, the well characterized pLac promoter (BBa_K741002, uninduced by IPTG) was used to quantify the activity of this promoter at different concentrations of fusaric acid. Our fusaric acid inducible promoter does not respond to low concentrations up to 170µM. From 255µM and up, the activity increases. The maximum measured activity of the promoter is 0.21 RPU at 425µM.

    For more information, read fungal sensing.


    Inhibition

    Upon sensing fusaric acid, three genes and a gene cluster will be activated that will lead to production of certain fungal growth inhibitors. They were cloned behind a IPTG inducible promoter. Those genes and their function being:

    1. phlABCDE gene cluster, able to produce 2,4-Diacetylphloroglucinol(2,4-DAPG)
    2. Methionine-γ-lyase, Dimethyldisulfide (DMDS) and dimethyltrisulfide (DMTS)
    3. PfrI, produce pyoverdine in presence of iron
    4. Chitinase, overexpresses chitinase activity

    Methionine-γ-lyase and PfrI were both made into biobricks, Bba_K1493300 and Bba_K1493200 respectively. With both biobricks validated, and for PfrI characterized. PfrI has shown to give a four fold increase of pyoverdine production in the presence of iron (31μM) in the medium. Pyoverdine is a compound that chelates iron and is naturally only produced when there is no iron available.

    Figure 2.Pyoverdine production in M9 medium supplemented with 31μM iron with error bars,OD corrected.


    All transformants were co-inoculated with Fusarium oxysporum cubense TR4 on agar plates in order to test their inhibition ability. Controls used were wild type P.putida KT2440 with F.oxysporum and just F.oxysporum.

    Figure 3.In vivo assay, P.putida co-inoculated with F.oxysporum. Red circle indicates area occupated by F.oxysporum growth. Foc control=Fusarium oxysporum cubense TR4, WT=wild type P.putida KT2440, DAPG=P.putida containing phlABCDE gene cluster, MgL=P.putida containing methionine-γ-lyase, chitinase=P.putida overexpressing chitinase, pfri= P.putida overexpressing pfri and mix(all 4)=all 4 tranformants mixed.

    In general, it was hard to distinguish the increased inhibition effect of the fungal growth inhibitors producing P. putida against F. oxysporum. This is because the P. putida chassis we have chosen is already very good at inhibiting F. oxysporum naturally, which probably makes it hard to observe increased growth inhibition by our synthetic, growth inhibitor producing P. putida strains. However, with the Methionine-γ-lyase(MgL) strain, we have a clear indication that there is an enhanced growth inhibition of F. oxysporum (figure 3) and with others, producing 2,4-DAPG, chitinase or pyoverdine, we can say that there is an indication of a slight increase of growth inhibition (figure 8, 12 and 13) on top of the natural inhibition. For more information, read fungal inhibiton.


    Kill-Switch

    Once fungal growth inhibitors are produced and F. oxysporum is no longer in the soil BananaGuard has done it's job and is no longer needed in the soil. Therefore we have implemented a Kill-switch into our system, which works like a toggle switch that senses when fusaric acid is around, and when it has dissipated toxins will be produced that eliminate BananaGuard. Toxins will be produced that eliminate BananaGuard itself, with the kill switch regulatory system in figure 4.

    Figure 4: the overview of the kill switch regulatory system showing al possible repressions. To simplify things in wetlab rhamnose input (white dots) is used instead of fusaric acid and GFP output (green dots) is used instead of toxins.


    CIλ (induced by rhamnose) has shown to suppress the pcIλ/Tet promoter inhibiting GFP production when induced with rhamnose (figure 5). In addition, CIλ and lacI has also shown to suppress GFP production of the pcI/lac promoter (figure 6). A toggle-switch was constructed ( Bba_K1493702, Bba_K1493703) containing pCI/lac promoter + TetR together with ptet + LacI + GFP. After establishing that induction by IPTG leads to adequately low GFP expression (the off-state), whereas induction by aTc results in high GFP expression (the on-state), we concluded that the toggle switch mechanism suits our intended application purpose (figure 7). For more information, read Kill-switch and rhamnose characterization.


    Figure 5. LambdaCI induced by rhamnose suppressing pcIλ/Tet promoter expressing GFP (input output plasmid. Plates were done in duplo. Top plates are plates without rhamnose and the bottom plates are plates with rhamnose.

    Figure 6. A) The average RFU values of E. Coli carrying a pSB3K3 plasmid containing the BioBricks pRha CIλ and pCI/lac gfp. B) The average RFU values of E. Coli carrying a pSB3K3 plasmid containing the BioBricks pRha lacI and pCI/lac gfp. Cells were grown in M9 medium with 2% glycerol and induced with 0%, 0.001%, 0.01%, 0.05% or 0.2% L-rhamnose or 0.2% glucose at t=0. Fluorescence was measured over time and data of time point 8.13 are shown in the graphs. Rhamnose concentrations of 0.001% and 0.01% have no substantial effect on fluorescence, compared to 0% rhamnose. Cells grown in 0.05% and 0.2% rhamnose show a lower RFU value compared to 0% rhamnose indicating that the pCI/lac is repressed by the repressor protein regulated by the rhamnose promoter. 0.2% glucose has an effect on the RFU, as the values are lower than 0% rhamnose.

    Figure 7. The relative fluorescence unit of each toggle switch state. Fluorescence is measured in duplo of cell cultures carrying the pSB3K3 plasmid with the toggle switch construct (BBa_K1493702, BBa_K1493703) grown in M9 medium containing 500 ng/ml aTc (green), 2 mM IPTG (red) and with no inducer added to the medium (blue).

    Promoter design model

    The kill-switch design is relatively intricate and therefore requires in silico analysis in order to test and improve its architecture. In order to accommodate this aim, we exploited statistical mechanics to derive a model of the system. Not unexpectedly, the new insight obtained strongly favoured some adaptations to the current design, which included reallocation of promoters as well as parallel placement of an additional kill-switch, which according to the predictions would yield a more stable system. For more information, read model kill-switch promoter design.


    Figure 9. Color maps indicating functioning and non-functioning systems. Each letter represents different repressor binding site configurations. Each small square within the colour maps represents a score for a simulation of the system with a unique set of parameters. The colours correspond to the previously given description

    2: The system performs to design, after a rhamnose input the toggle switch changes state and GFP is produced when CIλ leaves the system

    1: The system performs less efficiently, though the toggle switch changes state, the GFP promoter is leaky


    0: The system does not work, the toggle switch is out of balance and does not function, the system favors either LacI or TetR


    Back to the lab

    With new output from the promoter model, new promoters were made with different inhibitor binding sites with the BioBrick standard in mind. These promoters were then coupled in front of GFP and all 5 out of the 6 promoters we have designed have shown to work (Bba_K1493801, Bba_K1493802, Bba_K1493804, Bba_K1493805 and Bba_K1493806), by showing GFP expression (see figure 10). For more information, read promoter design results.

    Figure 10. New constructed promoters upstream GFP, expressed in E. coli. DH5alfa. There are 6 plates with each two streaks of two different colonies, except for the plate where P4 is plated, that is a streak of only one colony. where you can see streaks of different colonies with promoter 1-6 expressing GFP (P1-P6). The only promoter that does not seem to express GFP is promoter 3 (P3).

    System model

    Cost

    Having the whole system in P. putida is great however there is always metabolic stress in everything that we want P. putida to produce. Therefore another model was developed to predict the cost of the whole system, using a genome-scale constraint based metabolic model. The model indicates that the metabolic stress introduced by fungal growth inhibitors production should not pose a bottleneck. For more information read system cost.

    Figure 10: The relative growth rate compared to the wild type P. putida for different carbon uptake rates. The optimal solution is with glucose as carbon source, the realistic solution is with the banana exudates as carbon source. The expected carbon uptake rate of P. putida in the rhizosphere is indicated with transparent red.

    Performance

    Knowing that P. putida is able to cope with the whole system, the next objective is to assess the performance of the system; will the kill-switch function according to our expectations? Will the kill-switch kill P. putida in advance of performing its intended role as a fungicide due to imbalance of the toxin anti-toxin system?In order to answer these questions we created a stochastic whole system model, incorporating metabolic stress, leakiness of each individual promoter and the toxin anti-toxin syswtem. The results of this analysis are depicted in figure 4.

    Figure 11. Two histrograms showing the effect of leaky promoters on the system and the performance of the system upon induction by fusaric acid.(A) For a Maximum growth rate of 180 minutes the stability of the kill-switch a basal CIλ production of 50 nM/min or higher destabilizes the kill-switch. The population dynamics are affected. Low protein dilution due to slow growth causes the Kill-switch to leak toxin. Higher basal production rates compensate, increasing the average growth rate but also the instability. A total of 5000 simulation were run.(B) For a maximum growth rate of 180 minutes 98% of the kill-switches activate, longer division times activate the cells more effectively. A total of 20000 simulations were run

    The stochastic model (figure 11) has shown that different basal production levels of CIλ can have different effects on population dynamics, cell growth and the stability of the kill-switch, a point of attention for final construct of the system. Finally, the kill-switch will perform with 98% efficiency given the slow growth rate in the soil predicted by the metabolic model. For more information read model performance.


    Green house

    We were able to establish a collaboration with the plant research international group of Wageningen, which gave us the unique opportunity to test the system, not only against F. oxysrporum, but in a setting that mimics the situation outside the lab as closely as possible with banana plants. At present we have banana plants in the green house (figure 12) that have been inoculate with our engineered P. putida and which were also infected with F. oxysporum. However, plants grow at a much slower pace than bacteria. So results were not possible to obtain before the wiki-freeze (see green house ).

    Figure 12. Banana plants in greenhouse

    In short

    We as an iGEM team have achieved quite a lot during these couple of months. Here is a short list of what we have achieved:

    • Validated and characterized a novel working fusaric acid dependent promoter
    • Proved that pyoverdine can be produce in an iron rich environment
    • Improve inhibition of P. putida towards F. oxysporum
    • Show the proof of concept of the Kill-Switch using input output plasmid
    • Did an extensive characterization of the rhamnose promoter
    • Have a stable toggle switch that can be activated
    • Feedback loop with model and wetlab by promoter design
    • Have new promoters made and validated for future iGem team to use!
    • Have a model that predicts the metabolic cost of our whole system BananaGuard
    • Have a model that shows the performance of our whole system BananaGuard

    Apart from all things in the lab, we have also been waiting patiently to see the results of the greenhouse. How will our engineered P.putida behave in the its final application against F. oxysporum! Is it good enough in the soil? is it enough to help the banana plants? Sadly, the results were not here before the wiki-freeze however we will present them at the jamboree! So stay tuned and come to our presentation!

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