Difference between revisions of "Team:OUC-China/Demonstrate"

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<div class='text'>1. Introduction</div></br>
 
<div class='text'>1. Introduction</div></br>
<div class='text'>Our project this year focuses on a standardized design principle to be used for modular and  tunable riboswitch, which can easily be applied by future teams. We looked at the exsiting riboswitch, where current negative issues like context dependent performance, limited response curve and hard to toggle the on-off state would be addressed as well as solved within our project. The solution to these fundamental but complex issues was introducing Stabilizer, Tuner and asRNA to construct and regulate modular riboswitch, also named RiboLego.</div></br>
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<div class='text'>This year, our project focuses on a standardized design principle for design of modular riboswitch, which can be easily applied by synthetic biologists and future teams. We researched several existing riboswitches, and found that the application of riboswitches was limited by the disadvantages like its context dependent performance and the limited selection range in dynamics. Clearly, the lack of design principles based on engineering strategy for highly modular riboswitch devices is the root cause of the above problems.</div></br>
<div class='text'>The modular riboswitch we defined consists of the original riboswitch, Stabilizer and Tuner. Stabilizer can protect the structure of riboswitch from damage while Tuner can reduce the expression probability of fusion protein and make improvement of riboswitch function. We test our design principle in different riboswitches including three kinetic switches: Adda riboswitch, Btub riboswitch, cobalamin biosensor, and one thermodynamic switch: FourU riboswitch. What's more, three different kinds of GOI is used including sfGFP, YFP, and mRFP1. The good results show the high universality of our design principles. We believe that we have fulfilled this medal requirement because we can show our system working under real world conditions.</div></br>
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<div class='text'>We developed the design principles based on a newly emerging engineering strategy for modular riboswitch known as ‘Ribo-attenuator’. By decoupling the subunits of the ‘Ribo-attenuator’ and finely running experiments and modeling on each part like the ‘Stabilizer’, ‘Tuner’, and asRNA, we got a complete design principles and reliable design calculation tools to develop a set of various modular riboswitch - RiboLegos.</div></br>
 +
 
 +
<div class='text'>The RiboLego consists of the original riboswitch, rationally designed Stabilizer and Tuner. Stabilizer can protect the structure of riboswitch from interference while Tuner can avoid the N-terminal fused non-sense peptide on desired protein. We confirmed the powerful ability of our design rules on different riboswitches including three kinetic switches: Adda riboswitch, Btub riboswitch, cobalamin biosensor, and one thermodynamic switch: FourU riboswitch. What's more, three different kinds of GOI is used (sfGFP, YFP, and mRFP1), and the good results showed the high universality of our design principles.</div></br>
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 +
<div class='text'>We believe that we have met gold medal requirement, and we have proved that our system could work under real world conditions.</div></br>
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 +
 
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<div class='text'></div></br>
 
<div class='text'></div></br>
<div class='text'>2. Normally express the gene </div></br>
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<div class='text'>2. Proof the function of ‘Ribo-attenuator’</div></br>
<div class='text'>First, we successfully demonstrated that Stabilizer restored the normal function of riboswitch while Tuner tackled this problem of inclusion body generated by Stabilizer. By fluorescence microscopy, we can clearly observe that Tuner is capable of making GOI express normally. </div></br>
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<div class='text'>First, we successfully demonstrated that the ‘Stabilizer’ restored the normal function of different riboswitches while Tuner tackled the problem of inclusion body generated by the Stabilizer. By fluorescence microscopy, we can clearly observe that the ‘Stabilizer’ + ‘Tuner’ is capable of making GOI express normally without inclusion body formation (Figure 1 and 2). </div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/2019/9/94/T--OUC-China--design2.png
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/2019/9/94/T--OUC-China--design2.png
 
" style="max-width:80%"></div></br>
 
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<div class='text'>Figure 1: The fluorescence images represent situation when fluorescence excitation by confocal microscopy. The images show E.coli with 2-AP. Compared with the original Adda riboswitch system and Adda fusion construct, an obvious fluorescence can be observed in modular Adda riboswitch system.</div></br>
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<div class='text'>Figure 1: The fluorescence images show E. coli with different circuits under 2-AP induction to activate the Adda riboswitch. Left: The strain with circuit including Adda riboswitch and the reporter gene (sfgfp). Middle: The strain with circuit including Adda riboswitch and the ‘Stabilizer’. Right: The strain with circuit including Adda riboswitch, the ‘Stabilizer’ and the ‘Tuner’.</div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/b3/T--OUC-China--13.png
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/b3/T--OUC-China--13.png
 
" style="max-width:80%"></div></br>
 
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<div class='text'>Figure 2: The fluorescence images represent situation when fluorescence excitation by confocal microscopy. The images show E.coli with VB12. Compared with the original Btub riboswitch system and Btub fusion construct, an obvious fluorescence can be observed in modular Btub riboswitch system.</div></br>
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<div class='text'>Figure 2: The fluorescence images show E. coli under VB12 induction. Left: The strain with circuit including Btub riboswitch and the reporter gene (sfgfp). Middle: The strain with circuit including Btub riboswitch and the ‘Stabilizer’. Right: The strain with circuit including Btub riboswitch, the ‘Stabilizer’ and the ‘Tuner’.</div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
 
<div class='text'> </div></br>
 
<div class='text'> </div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
<div class='text'>3. Amplify the riboswitch function</div></br>
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<div class='text'>Before starting the wet lab work, the core idea of Tuner was successfully modeled by a thermodynamic approach. Using a series of Tuner constructs, we then expand the response curve of modular riboswitch. Five different Tuners were introduced downstream of the activating Adda riboswitch and Stabilizer. Tuners were able to shift the system’s induction response to 2-aminopurine in a manner that correlated with the strength of Tuner.</div></br>
+
 
 +
 
 +
 
 +
<div class='text'>3. Proof of the function of a modular riboswitch toolkit </div></br>
 +
<div class='text'>We made a modular riboswitch toolkit with various riboswitches which were all rationally designed. The riboswitches could provide candidates with different dynamic behaviors. The core strategy to achieve this is employing the ‘Tuner’ as the engineering target. The function of the ‘Tuner’ was successfully modeled by a thermodynamic approach.</div></br>
 +
 
 +
<div class='text'>By using a series of constructs with various model-based designed ‘Tuners’, we then diversified the response behaviors of modular riboswitches. Five different Tuners were introduced at the downstream of the Adda riboswitch and Stabilizer. Tuners were able to shift the system’s output range for responding to 2-aminopurine in a manner that correlated with the structural strength of the Tuners (Figure 3).</div></br>
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<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/b4/T--OUC-China--addapoint.jpg" style="max-width:80%"></div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/b4/T--OUC-China--addapoint.jpg" style="max-width:80%"></div></br>
<div class='text'>Figure 3: Histograms show the relative fluorescence expression of sfGFP by microplate reader. Response of each modular Adda riboswitch to 0, 50 and 100 μM 2-aminopurine as compared to the fusion construct(Adda-STA-sfGFP). The five test groups present different fluorescence intensities from high to low, which proves that Tuners have different capabilities. Error bars represent standard deviation of three biological replicates. </div></br>
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<div class='text'>Figure 3: Histograms show the relative fluorescence intensity of the strains with the modular Adda riboswitches including different Tuners. The concentration gradient of 2-aminopurine is 0, 50 and 100 μM. The five test groups present different fluorescence intensities from high to low, which proves that the Tuners have different capabilities to affect the function of the Adda riboswitch. Error bars represent standard deviation of three biological replicates. </div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
<div class='text'>We collaborated with four teams which helped us prove the results of Tuner A by experiments in their labs. </div></br>
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<div class='text'>We collaborated with four teams which helped us prove the results of Tuner A through experiments finished by their research teams (Figure 4). </div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/b4/T--OUC-China--addapoint.jpg" style="max-width:80%"></div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/b4/T--OUC-China--addapoint.jpg" style="max-width:80%"></div></br>
<div class='text'>Figure 4: The results from other four teams which proved our conclusions. Histograms show the relative fluorescence expression of sfGFP by microplate reader. Response of modular Adda riboswitch including Tuner A to 0, 8, 32 and 250 μM 2-aminopurine. Error bars represent standard deviation of three biological replicates.  </div></br>
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<div class='text'>Figure 4: Figure 4: The results from other four other teams which proved our conclusions. Histograms show the relative fluorescence intensity collected by microplate reader. The concentration gradient of 2-aminopurine is 0, 8, 32 and 250 μM. Error bars represent standard deviation of three biological replicates.  </div></br>
 
<div class='text'> </div></br>
 
<div class='text'> </div></br>
<div class='text'>To demonstrate the universal applicability of our design principle, the repressing Btub riboswitch was employed that binds adenosylcobalamin. In order to reduce the metabolic burden of cells,we created Tuner H consisting of SsrA degradation tag, which could degrade Stabilizer. Using Tuner A, E and H, we were successfully able to show that we could in fact change the function of riboswitch.</div></br>
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 +
 
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<div class='text'>As we have showed in the section 2, we achieved above engineering achievement on another riboswitch to demonstrate the universal applicability of our design principle. The adenosylcobalamin-triggered translation-repressing Btub riboswitch was employed. We were able to show that the rationally designed ‘Tuners’ could also provide the similar engineering effect on the Btub riboswitch successfully (Figure 5).</div></br>
 +
 
 +
<div class='text'>In order to reduce the metabolic burden of cells, we also created Tuner H consisting of SsrA degradation tag, which could degrade the non-sense peptide translated from the Stabilizer</div></br>
 +
 
 +
 
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/d/de/T--OUC-China--btubpoint.jpg" style="max-width:80%"></div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/d/de/T--OUC-China--btubpoint.jpg" style="max-width:80%"></div></br>
<div class='text'>Figure 5: The fluorescence intensity of sfGFP by microplate reader during the entire cultivation period. By using three different Tuners, we could change the response curve of Btub riboswitch. Error bars represent standard deviation of four biological replicates.   </div></br>
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<div class='text'>Figure 5: The fluorescence intensity of sfGFP collected by microplate reader during the entire cultivation period. By using three different Tuners, we could tune the response of the Btub riboswitch. Error bars represent standard deviation of four biological replicates. </div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
<div class='text'>We also tested our system working by replacing sfGFP with YFP which were introduced downstream of the activating Adda riboswitch, Stabilizer and Tuner A.</div></br>
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<div class='text'>We also tested our system working by replacing the CDS of sfGFP with that of YFP which were introduced at the downstream of the Adda riboswitch, Stabilizer and Tuner A. The result shows that, with a new reporter, the modular Adda riboswitch still works well to sense its ligand (Figure 6).</div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/3/3e/T--OUC-China--eyfp.jpg" style="max-width:80%"></div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/3/3e/T--OUC-China--eyfp.jpg" style="max-width:80%"></div></br>
<div class='text'>Figure 6: The result by microplate reader. The emission of YFP was measured at a wavelength of 527nm when excited at 514nm. Error bars represent standard deviation of three biological replicates. Data was selected  when steady state is reached (at least two consecutive subsequent data points do not increase fluorescence).</div></br>
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<div class='text'>Figure 6: Figure 6: The result by microplate reader. The emission of YFP was measured at a wavelength of 527nm when excited at 514nm. Error bars represent standard deviation of three biological replicates. Data was collected when steady state is reached (at least two consecutive subsequent data points do not increase fluorescence).</div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
<div class='text'>4. Select the appropriate length of Stabilizer</div></br>
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<div class='text'>Guided by math modeling, we determined that the Stablilizer length of Adda and Btub was 150bp. Furthermore, we would prove the effectiveness of our software. So we selected 9bp and 21bp as bad Stabilizers but 81bp and 129bp as good Stabilizers for Adda. The results showed that the length of Stabilizer was changable.</div></br>
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 +
<div class='text'>4. Selecting the appropriate length of Stabilizer</div></br>
 +
<div class='text'>Guided by math modeling, we determined that the Stabilizer length of Adda and Btub was 150bp. We proved the effectiveness of our software by our wet experiments. We tested different versions of the Stabilizer with various length. The result shows that the 9bp and 21bp versions worked as unavailable Stabilizers, but the 81bp and 129bp versions worked as good Stabilizers for Adda. The results showed that the suitable length of Stabilizer is predictable (Figure 7).</div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/2019/f/f7/T--OUC-China--Design5.png" style="max-width:80%"></div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/2019/f/f7/T--OUC-China--Design5.png" style="max-width:80%"></div></br>
<div class='text'>Figure 7: The fluorescence intensity of sfGFP by microplate reader during the entire cultivation period. By using four different Stabilizers, we could prove that our software was effective. 9bp and 21bp was too short that can stabilize the structure of Adda riboswitch, leading that the failure of responsive to ligand. </div></br>
+
<div class='text'>Figure 7: The fluorescence intensity of sfGFP by microplate reader during the entire cultivation period. By using four different Stabilizers, we could prove that our software was effective. 9bp and 21bp was too short to stabilize the structure of Adda riboswitch, leading the failure of response to ligand. </div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
<div class='text'>5. Improvement</div></br>
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<div class='text'>5. Improvement- resurrecting defective part by our riboswitch design method</div></br>
<div class='text'>Using our design principle of modular riboswtch, we were successfully able to improve the cobalamin biosensor created by Paris_Bettencourt team in 2015. They used a riboswitch whose ligand is vitamin B12 to express mRFP1 without its start codon and inserted the first 30bp of the natural gene between them. By confocal microscopy, no fluorescence was be observed because the length of Stabilizer was too short that destroy the structure of riboswitch. By introducing Stabilizer and Tuner A, we constructed an improved cobalamin riboswitch, which can restore his function and express mRFP1 normally. </div></br>
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<div class='text'>Using our design principle of modular riboswitch, we were successfully able to improve the function of a cobalamin biosensor created by Paris_Bettencourt team in 2015. They used a riboswitch whose ligand is vitamin B12 to express mRFP1. They inserted the first 30bp of the natural downstream gene of the cobalamin biosensor as a ‘Stabilizer’. By confocal microscopy, no fluorescence was observed. This may because the length of Stabilizer is not long enough or a ‘Tuner’ needs to be employed to insulate the translated peptide from the ‘Stabilizer’ with the mRFP1. By introducing rationally designed ‘Stabilizer’ and Tuner A, we constructed an improved cobalamin riboswitch, which can restore his function and express mRFP1 normally (Figure 8 and 9). </div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/1/1b/T--OUC-China--parisxianwei.jpg" style="max-width:80%"></div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/1/1b/T--OUC-China--parisxianwei.jpg" style="max-width:80%"></div></br>
 
<div class='text'>Figure 8: The results by confocal microscopy, which indicates that our principle can improve cobalamin biosensor successfully. It's obvious that the modular cobalamin riboswitch can express mRFP1.</div></br>
 
<div class='text'>Figure 8: The results by confocal microscopy, which indicates that our principle can improve cobalamin biosensor successfully. It's obvious that the modular cobalamin riboswitch can express mRFP1.</div></br>
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<div class='text'>6. The thermodynamic switch</div></br>
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<div class='text'>6. RiboLegos design on the thermodynamic switch</div></br>
<div class='text'>Riboswitches can furthermore be classifified into thermodynamic and kinetic switches. We then  explored whether our design principles apply to thermodynamic riboswitches. Using Four U, whose temperature threshold is 37℃, we can successfully express sfGFP in 37℃ and 42℃. In this circuit, the first 81bp of mRFP1 was selected as Stabilizer because Four U can control the expression of mRFP1 normally and Tuner A was used. The result shows Tuner can be applied to the thermodynamic riboswitches perfectly!</div></br>
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<div class='text'>Riboswitches can further be classified into thermodynamic and kinetic switches. We explored whether our design principles could be applied to thermodynamic riboswitches. Using Four U, whose temperature threshold is 37℃, we can successfully express sfGFP in 37℃ and 42℃. In this circuit, the first 81bp of mRFP1 was selected as Stabilizer because Four U can control the expression of mRFP1 normally in previous research. And the Tuner A was used. The result shows that the RiboLegos design principle can be applied to the thermodynamic riboswitches perfectly! (Figure 10)
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</div></br>
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/bb/T--OUC-China--030microplate.jpg
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/b/bb/T--OUC-China--030microplate.jpg
 
" style="max-width:80%"></div></br>
 
" style="max-width:80%"></div></br>
<div class='text'>Figure 10:The results of microplate reader show the working effect of modular Four U element in different temperature.</div></br>
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<div class='text'>Figure 10: The results of microplate reader show the working effect of modular Four U element in different temperature.</div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
<div class='text'>7. Control the on-off state in real time </div></br>
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<div class='text'>7.Control the on-off state by RNAi – a strategy for real application scenarios </div></br>
<div class='text'>By above results, we have demonstrated that Tuners are able to overcome many of the issues preventing widespread use of riboswitches. After constructing modular riboswitches, we have successfully designed antisense RNA to achieve our goals of controling the on-off state in real time. The good results demonstrated our effective approach.</div></br>
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<div class='text'>According to above results, we have demonstrated that the RiboLegos are able to overcome many of the issues preventing widespread usage of riboswitches. However, one problem was how to shut down the function of riboswitch under ligand existing condition. Because in many real application scenarios, it is inconvenient to replace the culture medium.</div></br>
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<div class='text'>After constructing modular riboswitches, we have successfully designed antisense RNA to solve above problem and control the on-off state of the riboswitch in real time. The good results demonstrated our effective approach. (Figure 11)</div></br>
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<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/3/36/T--OUC-China--heatmap.png
 
<div class='text' style="text-align:center"><img src="https://static.igem.org/mediawiki/parts/3/36/T--OUC-China--heatmap.png
 
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<div class='text'>8. Summary</div></br>
 
<div class='text'>8. Summary</div></br>
<div class='text'>We believe that we have fulfilled this medal requirement because we have successfully demonstrated that our design principle could expand riboswitch function. Our system could  work under realistic conditions. Please see our other pages for more <a class="click" href="https://2019.igem.org/Team:OUC-China/Description
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<div class='text'>We believe that we have met this medal requirement because we have successfully demonstrated that our design principle could expand riboswitch function. Our system could  work under realistic conditions. Please see our other pages for more <a class="click" href="https://2019.igem.org/Team:OUC-China/Description
">inspiration</a> and <a class="click" href="https://2019.igem.org/Team:OUC-China/Result">results</a>. Additionally, see our medal requirements for information on how we fufilled our <a class="click" href="https://2019.igem.org/Team:OUC-China/Medal
+
">inspiration</a> and <a class="click" href="https://2019.igem.org/Team:OUC-China/Result">results</a>. Additionally, see our medal requirements for information on how we met our <a class="click" href="https://2019.igem.org/Team:OUC-China/Medal
">medal requirements</a>.</div></br>
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"> gold medal requirements</a>.</div></br>
 
<div class='text'></div></br>
 
<div class='text'></div></br>
  

Revision as of 01:29, 22 October 2019

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1. Introduction

This year, our project focuses on a standardized design principle for design of modular riboswitch, which can be easily applied by synthetic biologists and future teams. We researched several existing riboswitches, and found that the application of riboswitches was limited by the disadvantages like its context dependent performance and the limited selection range in dynamics. Clearly, the lack of design principles based on engineering strategy for highly modular riboswitch devices is the root cause of the above problems.

We developed the design principles based on a newly emerging engineering strategy for modular riboswitch known as ‘Ribo-attenuator’. By decoupling the subunits of the ‘Ribo-attenuator’ and finely running experiments and modeling on each part like the ‘Stabilizer’, ‘Tuner’, and asRNA, we got a complete design principles and reliable design calculation tools to develop a set of various modular riboswitch - RiboLegos.

The RiboLego consists of the original riboswitch, rationally designed Stabilizer and Tuner. Stabilizer can protect the structure of riboswitch from interference while Tuner can avoid the N-terminal fused non-sense peptide on desired protein. We confirmed the powerful ability of our design rules on different riboswitches including three kinetic switches: Adda riboswitch, Btub riboswitch, cobalamin biosensor, and one thermodynamic switch: FourU riboswitch. What's more, three different kinds of GOI is used (sfGFP, YFP, and mRFP1), and the good results showed the high universality of our design principles.

We believe that we have met gold medal requirement, and we have proved that our system could work under real world conditions.


2. Proof the function of ‘Ribo-attenuator’

First, we successfully demonstrated that the ‘Stabilizer’ restored the normal function of different riboswitches while Tuner tackled the problem of inclusion body generated by the Stabilizer. By fluorescence microscopy, we can clearly observe that the ‘Stabilizer’ + ‘Tuner’ is capable of making GOI express normally without inclusion body formation (Figure 1 and 2).


Figure 1: The fluorescence images show E. coli with different circuits under 2-AP induction to activate the Adda riboswitch. Left: The strain with circuit including Adda riboswitch and the reporter gene (sfgfp). Middle: The strain with circuit including Adda riboswitch and the ‘Stabilizer’. Right: The strain with circuit including Adda riboswitch, the ‘Stabilizer’ and the ‘Tuner’.



Figure 2: The fluorescence images show E. coli under VB12 induction. Left: The strain with circuit including Btub riboswitch and the reporter gene (sfgfp). Middle: The strain with circuit including Btub riboswitch and the ‘Stabilizer’. Right: The strain with circuit including Btub riboswitch, the ‘Stabilizer’ and the ‘Tuner’.




3. Proof of the function of a modular riboswitch toolkit

We made a modular riboswitch toolkit with various riboswitches which were all rationally designed. The riboswitches could provide candidates with different dynamic behaviors. The core strategy to achieve this is employing the ‘Tuner’ as the engineering target. The function of the ‘Tuner’ was successfully modeled by a thermodynamic approach.

By using a series of constructs with various model-based designed ‘Tuners’, we then diversified the response behaviors of modular riboswitches. Five different Tuners were introduced at the downstream of the Adda riboswitch and Stabilizer. Tuners were able to shift the system’s output range for responding to 2-aminopurine in a manner that correlated with the structural strength of the Tuners (Figure 3).


Figure 3: Histograms show the relative fluorescence intensity of the strains with the modular Adda riboswitches including different Tuners. The concentration gradient of 2-aminopurine is 0, 50 and 100 μM. The five test groups present different fluorescence intensities from high to low, which proves that the Tuners have different capabilities to affect the function of the Adda riboswitch. Error bars represent standard deviation of three biological replicates.


We collaborated with four teams which helped us prove the results of Tuner A through experiments finished by their research teams (Figure 4).


Figure 4: Figure 4: The results from other four other teams which proved our conclusions. Histograms show the relative fluorescence intensity collected by microplate reader. The concentration gradient of 2-aminopurine is 0, 8, 32 and 250 μM. Error bars represent standard deviation of three biological replicates.


As we have showed in the section 2, we achieved above engineering achievement on another riboswitch to demonstrate the universal applicability of our design principle. The adenosylcobalamin-triggered translation-repressing Btub riboswitch was employed. We were able to show that the rationally designed ‘Tuners’ could also provide the similar engineering effect on the Btub riboswitch successfully (Figure 5).

In order to reduce the metabolic burden of cells, we also created Tuner H consisting of SsrA degradation tag, which could degrade the non-sense peptide translated from the Stabilizer


Figure 5: The fluorescence intensity of sfGFP collected by microplate reader during the entire cultivation period. By using three different Tuners, we could tune the response of the Btub riboswitch. Error bars represent standard deviation of four biological replicates.


We also tested our system working by replacing the CDS of sfGFP with that of YFP which were introduced at the downstream of the Adda riboswitch, Stabilizer and Tuner A. The result shows that, with a new reporter, the modular Adda riboswitch still works well to sense its ligand (Figure 6).


Figure 6: Figure 6: The result by microplate reader. The emission of YFP was measured at a wavelength of 527nm when excited at 514nm. Error bars represent standard deviation of three biological replicates. Data was collected when steady state is reached (at least two consecutive subsequent data points do not increase fluorescence).


4. Selecting the appropriate length of Stabilizer

Guided by math modeling, we determined that the Stabilizer length of Adda and Btub was 150bp. We proved the effectiveness of our software by our wet experiments. We tested different versions of the Stabilizer with various length. The result shows that the 9bp and 21bp versions worked as unavailable Stabilizers, but the 81bp and 129bp versions worked as good Stabilizers for Adda. The results showed that the suitable length of Stabilizer is predictable (Figure 7).


Figure 7: The fluorescence intensity of sfGFP by microplate reader during the entire cultivation period. By using four different Stabilizers, we could prove that our software was effective. 9bp and 21bp was too short to stabilize the structure of Adda riboswitch, leading the failure of response to ligand.


5. Improvement- resurrecting defective part by our riboswitch design method

Using our design principle of modular riboswitch, we were successfully able to improve the function of a cobalamin biosensor created by Paris_Bettencourt team in 2015. They used a riboswitch whose ligand is vitamin B12 to express mRFP1. They inserted the first 30bp of the natural downstream gene of the cobalamin biosensor as a ‘Stabilizer’. By confocal microscopy, no fluorescence was observed. This may because the length of Stabilizer is not long enough or a ‘Tuner’ needs to be employed to insulate the translated peptide from the ‘Stabilizer’ with the mRFP1. By introducing rationally designed ‘Stabilizer’ and Tuner A, we constructed an improved cobalamin riboswitch, which can restore his function and express mRFP1 normally (Figure 8 and 9).


Figure 8: The results by confocal microscopy, which indicates that our principle can improve cobalamin biosensor successfully. It's obvious that the modular cobalamin riboswitch can express mRFP1.


Figure 9: The fluorescence intensity of mRFP1 by microplate reader during the entire cultivation period. We measured part BBa_K1678007 designed by Paris_Bettencourt in 2015 and the improved circuit designed by us. As shown that, by introducing Tuner A, modular cobalamin biosensor was capable of expressing mRFP1 normally in response to different concentrations of VB12.



6. RiboLegos design on the thermodynamic switch

Riboswitches can further be classified into thermodynamic and kinetic switches. We explored whether our design principles could be applied to thermodynamic riboswitches. Using Four U, whose temperature threshold is 37℃, we can successfully express sfGFP in 37℃ and 42℃. In this circuit, the first 81bp of mRFP1 was selected as Stabilizer because Four U can control the expression of mRFP1 normally in previous research. And the Tuner A was used. The result shows that the RiboLegos design principle can be applied to the thermodynamic riboswitches perfectly! (Figure 10)


Figure 10: The results of microplate reader show the working effect of modular Four U element in different temperature.


7.Control the on-off state by RNAi – a strategy for real application scenarios

According to above results, we have demonstrated that the RiboLegos are able to overcome many of the issues preventing widespread usage of riboswitches. However, one problem was how to shut down the function of riboswitch under ligand existing condition. Because in many real application scenarios, it is inconvenient to replace the culture medium.

After constructing modular riboswitches, we have successfully designed antisense RNA to solve above problem and control the on-off state of the riboswitch in real time. The good results demonstrated our effective approach. (Figure 11)


Figure 11: The heat map generated from microplate reader data reflecting the change of fluorescence intensities with and without IPTG. Using our IPTG inducible antisense RNA, we could control the on-off state of Adda and Btub riboswitch.


8. Summary

We believe that we have met this medal requirement because we have successfully demonstrated that our design principle could expand riboswitch function. Our system could work under realistic conditions. Please see our other pages for more inspiration and results. Additionally, see our medal requirements for information on how we met our gold medal requirements.