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<img src="https://static.igem.org/mediawiki/2016/thumb/6/6a/T--Technion_Israel--Tar_pctA_flourecent.png/800px-T--Technion_Israel--Tar_pctA_flourecent.png" class="img-responsive img-center img-cont" width="700" style="cursor: pointer;"> | <img src="https://static.igem.org/mediawiki/2016/thumb/6/6a/T--Technion_Israel--Tar_pctA_flourecent.png/800px-T--Technion_Israel--Tar_pctA_flourecent.png" class="img-responsive img-center img-cont" width="700" style="cursor: pointer;"> | ||
</a> | </a> | ||
− | <p><b>Fig. 7:</b> Results of GFP fusion. <b>(A)</b> Positive control- <i>E.Coli</i> strain expressing GFP protein,<b>(B)</b> Negative control- UU1250 strain expressing Tar chemoreceptor, <b>(C)</b> UU1250 strain expressing Tar-GFP chemoreceptor, <b>(D)</b> UU1250 strain expressing PctA-Tar-GFP Chimera, | + | <p><b>Fig. 7:</b> Results of GFP fusion. <b>(A)</b> Positive control- <i>E.Coli</i> strain expressing GFP protein,<b>(B)</b> Negative control- UU1250 strain expressing Tar chemoreceptor, <b>(C)</b> UU1250 strain expressing Tar-GFP chemoreceptor, <b>(D)</b> UU1250 strain expressing PctA-Tar-GFP Chimera, fluorescence (490nm excitation). |
</p> | </p> | ||
</div> | </div> | ||
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<p class="text-justify"> | <p class="text-justify"> | ||
With the supporting evidence of the results presented above, it can be concluded | With the supporting evidence of the results presented above, it can be concluded | ||
− | that both concepts: LBD altering and the FlashLab platform, have been proven and work under real life conditions and seem promising for detection of various substances in the near future. | + | that both concepts: LBD altering and the <a href="https://2016.igem.org/Team:Technion_Israel/Design">FlashLab</a> platform, have been proven and work under real life conditions and seem promising for detection of various substances in the near future. |
</p> | </p> | ||
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<div class="col-md-6 col-sm-12 vcenter"><!--6 text--> | <div class="col-md-6 col-sm-12 vcenter"><!--6 text--> | ||
<p class="text-justify"> | <p class="text-justify"> | ||
− | The | + | The heart of the S.Tar project is the Tar chemoreceptor, one of four E. coli receptors. |
− | Our goal is to create | + | Our goal is to create an engineered bacteria which has chemotaxis receptors sensitive |
− | to materials | + | to materials other than its native ligands. We show that E. |
− | (LBD) to | + | coli can be engineered to respond to completely new materials, by changing Tar’s ligand binding domain |
− | + | (LBD) to other LBDs from various sources or by mutating it. | |
</p> | </p> | ||
</div><!-- | </div><!-- | ||
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<img src="https://static.igem.org/mediawiki/2016/7/72/T--Technion_Israel--His_seq.png" class="img-responsive img-center img-cont" width="450"> | <img src="https://static.igem.org/mediawiki/2016/7/72/T--Technion_Israel--His_seq.png" class="img-responsive img-center img-cont" width="450"> | ||
</a> | </a> | ||
− | <p class="text-center"><b>Fig. 1:</b> Sequencing Results. Query describes the native Tar LBD | + | <p class="text-center"><b>Fig. 1:</b> Sequencing Results. "Query" describes the native Tar LBD |
− | sequence and | + | sequence and "Sbjc"t describes the design mutations sequence. The mutation region is marked with color (blue or red).</p> |
− | + | ||
</div> | </div> | ||
</div> | </div> | ||
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which benefit or harm the organism in some way. On top of that the fact that the majority of known | which benefit or harm the organism in some way. On top of that the fact that the majority of known | ||
receptors today are not well characterized meant that we had very few options of creating chimeric | receptors today are not well characterized meant that we had very few options of creating chimeric | ||
− | receptors | + | receptors as we initially planned.<br><br> |
In light of the above we had to turn to a new path – redesigning the Tar chemoreceptor to bind a | In light of the above we had to turn to a new path – redesigning the Tar chemoreceptor to bind a | ||
different ligand using computational biology - The Rosetta <a href="https://2016.igem.org/Team:Technion_Israel/Software">software</a>. | different ligand using computational biology - The Rosetta <a href="https://2016.igem.org/Team:Technion_Israel/Software">software</a>. | ||
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See <a href="https://2016.igem.org/Team:Technion_Israel/Modifications/Rosetta">Computational Design</a> page for more information regarding the design process. | See <a href="https://2016.igem.org/Team:Technion_Israel/Modifications/Rosetta">Computational Design</a> page for more information regarding the design process. | ||
Out of all the tested variants only one was discovered to be attracted to histamine. Sequencing results | Out of all the tested variants only one was discovered to be attracted to histamine. Sequencing results | ||
− | showed that the only mutations to occur in this variant were those planned by the Rosetta’s design. | + | showed that the only mutations to occur in this variant were those planned by the Rosetta’s design. The desired sequences can be seen in figure 1. |
</p> | </p> | ||
</div> | </div> | ||
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<div class="col-md-12 col-sm-12"> | <div class="col-md-12 col-sm-12"> | ||
<p class="text-justify"> | <p class="text-justify"> | ||
− | + | We observed the bacteria’s response to the attractant, | |
− | Histamine. It is evident in figure | + | Histamine, by using a microscope. It is evident in figure 2b that roughly 20 minutes after the addition of the |
− | Histamine, the concentration | + | Histamine, the bacteria concentration in the vicinity of the Histamine is much greater |
− | than in the | + | than in the the beginning of the experiment (figure 2a) |
+ | |||
</p> | </p> | ||
</div> | </div> | ||
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<div class="row"> | <div class="row"> | ||
<div class="col-md-12 col-sm-12"> | <div class="col-md-12 col-sm-12"> | ||
− | <p class="text-center"><b>Fig. 2:</b> microscope results of chemotaxis activity for variant His_9 with 10mM | + | <p class="text-center"><b>Fig. 2:</b> microscope results of chemotaxis activity for variant His_9 with 10mM Histamine. a. Tar-Histamine: before adding Histamine). b. Tar-Histamine: 20 minutes after adding Histamine. c. Tar-Histamine: before adding the Motility buffer (control solution). d. Tar-Histamine: 20 minutes after adding the Motility buffer. |
</p> | </p> | ||
</div> | </div> | ||
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<div class="col-md-12 col-sm-12"> | <div class="col-md-12 col-sm-12"> | ||
<p class="text-justify"> | <p class="text-justify"> | ||
− | To prove the correct localization of the | + | To prove the correct localization of the Tar-Histamine, GFP was fused to its C-terminus with a short linker sequence <a href="http://parts.igem.org/Part:BBa_E0040" target="_blank">(E0040)</a> . The results of these tests as seen in figure 3, prove our assumption of correct localizations. |
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<br> | <br> | ||
<p class="text-center"> | <p class="text-center"> | ||
− | <b>Fig. 3:</b> Results of GFP fusion. | + | <b>Fig. 3:</b> Results of GFP fusion. (A) Positive control- E.Coli strain expressing GFP protein, (B) Negative control- UU1250 strain expressing Tar chemoreceptor, (C) UU1250 strain expressing Tar-GFP chemoreceptor, (D) UU1250 strain expressing Histamine-Tar-GFP Chimera, fluorescence (490nm excitation). |
+ | |||
+ | |||
</p> | </p> | ||
</div> | </div> | ||
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<div class="col-md-6 col-sm-12 vcenter"><!--6 text--> | <div class="col-md-6 col-sm-12 vcenter"><!--6 text--> | ||
<p class="text-justify"> | <p class="text-justify"> | ||
− | Finally, | + | Finally, in the video below, a working concept of the <a href="https://2016.igem.org/Team:Technion_Israel/Design">FlashLab project</a> - |
a chip that serves as a detection tool based on the chemotaxis system of E. | a chip that serves as a detection tool based on the chemotaxis system of E. | ||
− | coli bacteria | + | coli bacteria – is presented. In the video a commercial ibidi microfluidic chip filled with a suspension of |
bacteria expressing the chemoreceptor and chromoprotein | bacteria expressing the chemoreceptor and chromoprotein | ||
− | <a href="http://parts.igem.org/Part:BBa_K1357008" target="_blank">(K1357008)</a>. | + | <a href="http://parts.igem.org/Part:BBa_K1357008" target="_blank">(K1357008)</a> can been seen. |
− | A solution of | + | A solution of attractant (10<sup>-3</sup>M Histamine) |
− | was added to the chip and | + | was added to the chip and bacteria displacement was monitored and recorded |
− | + | ||
</p> | </p> | ||
</div><!-- | </div><!-- | ||
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</video--> | </video--> | ||
<p class="text-center"><b>Video 1:</b> from left to right: | <p class="text-center"><b>Video 1:</b> from left to right: | ||
− | (1) Histamine-Tar with Histamine | + | (1) Histamine-Tar with Histamine attractant added. |
(2) Histamine-Tar with Motility buffer added (control).<br> | (2) Histamine-Tar with Motility buffer added (control).<br> | ||
</p> | </p> | ||
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<div class="col-md-12 col-sm-12"> | <div class="col-md-12 col-sm-12"> | ||
<p class="text-justify"> | <p class="text-justify"> | ||
− | + | The results presented above, mainly proves the concept of the ability to alter the LBD of a chemoreceptor using software. Moreover, these results might help with breakthroughs and lead to newly designed reporters for novel detection. | |
− | + | ||
− | + | ||
</p> | </p> | ||
</div> | </div> |
Revision as of 11:31, 19 October 2016
PctA-Tar chimera Introduction
One of S.Tars sub-projects focused on altering the LBD of Tar chemoreceptor in order to design new hybrid chimeras. That was accomplished by replacing the LBD of the original Tar chemoreceptor with a new one, from a different source, without modifying Tar signaling region. As a proof of concept for the newly designed Tar chimeras and the S.Tar project, we focused on testing the PctA-Tar hybrid.
PctA is a chemoreceptor found in the Pseudomonas Aeruginosa , it mediates
chemotaxis towards amino acids and away from organic compounds. It can sense all
amino acids except for Aspartate (1).
To construct this chimera, the LBD sequence of the PctA was obtained from the Pseudomonas genome database,
while the signaling region of Tar was obtained from the iGEM parts catalog
(K777000). Using these two sequences, we built a Biobrick device (K1992007)
wwhich was tested by transforming the device to bacteria that lacks chemoreceptors -
UU1250
. It is important
to note that this chimera has been constructed before in the literature (1).
Test and results
As an initial step, we generated a 3D model of the PctA-Tar chimera, figure 3, using the Phyre2 Protein Fold Recognition server to assure the correct folding of both the LBD and the signaling regions.
Following the transformation, a swarming plate assay was performed in order to confirm the functionality of the hybrid receptor. A scheme of the assay is presented below, figure 4. It is important to mention that this assay was performed on BA medium as the original assay on TB medium failed. From the results seen in figure 5, it is clear that the chimera functions and controls the chemotactic ability of the bacteria leading to swarming response. This is compared to the control, UU1250 strain, that did not show any chemotactic ability as expected and no chemotactic rings were formed.
Fig. 5: Swarming assay for attractant response of the PctA-Tar chimera.
a. PctA chimera, b. Negative control- UU1250 strain w/o the Tar expression plasmid, c. positive control - ΔZras strain expressing all chemoreceptors.
Next, to prove that the chimera is localized in the membrane, GFP was fused to its C-terminus with a short linker sequence (K1992010), figure 6. The results of these tests as seen in figure 7, indeed show the expected localizations.
Finally, in the video below is a working concept of the FlashLab project - a chip that serves as a detection tool based on the chemotaxis system of E. coli bacteria - is presented.In the video a commercial ibidi microfluidic chip filled with a suspension of bacteria expressing the chimera and chromoprotein (J23100 + K1357009)can been seen. A solution of repellent (10-3M Tetrachloroethylene) was added to the chip and the displacement of the bacteria was monitored and recorded.
Fig. 8: A steps scheme of the FlashLab concept: Add bacteria expressing both the chemoreceptor of your choice and a chromoprotein to a fluidic chip. Add the tested sample to the chip. If the chemoreceptor detecets the substance in the sample, a displacement of the bacteria will become visible. .
In video 1, the displacement of the bacteria can be clearly seen in test chip (left chip, PctA-Tar with repellent), compared to the control chip (right chip, PctA-Tar with buffer).
With the supporting evidence of the results presented above, it can be concluded that both concepts: LBD altering and the FlashLab platform, have been proven and work under real life conditions and seem promising for detection of various substances in the near future.
Histamine-Tar Introduction
The heart of the S.Tar project is the Tar chemoreceptor, one of four E. coli receptors. Our goal is to create an engineered bacteria which has chemotaxis receptors sensitive to materials other than its native ligands. We show that E. coli can be engineered to respond to completely new materials, by changing Tar’s ligand binding domain (LBD) to other LBDs from various sources or by mutating it.
The bacterial world offers a relatively small selection of chemoreceptors in comparison to
the vast number of possible ligands. These receptors evolved specifically to recognize substances
which benefit or harm the organism in some way. On top of that the fact that the majority of known
receptors today are not well characterized meant that we had very few options of creating chimeric
receptors as we initially planned.
In light of the above we had to turn to a new path – redesigning the Tar chemoreceptor to bind a
different ligand using computational biology - The Rosetta software.
Out of the Rosetta’s 870 suggested mutations only 11 variants were eventually cloned into the native Tar ligan-binding domain LBD.
See Computational Design page for more information regarding the design process.
Out of all the tested variants only one was discovered to be attracted to histamine. Sequencing results
showed that the only mutations to occur in this variant were those planned by the Rosetta’s design. The desired sequences can be seen in figure 1.
Test and results
We observed the bacteria’s response to the attractant, Histamine, by using a microscope. It is evident in figure 2b that roughly 20 minutes after the addition of the Histamine, the bacteria concentration in the vicinity of the Histamine is much greater than in the the beginning of the experiment (figure 2a)
Fig. 2: microscope results of chemotaxis activity for variant His_9 with 10mM Histamine. a. Tar-Histamine: before adding Histamine). b. Tar-Histamine: 20 minutes after adding Histamine. c. Tar-Histamine: before adding the Motility buffer (control solution). d. Tar-Histamine: 20 minutes after adding the Motility buffer.
To prove the correct localization of the Tar-Histamine, GFP was fused to its C-terminus with a short linker sequence (E0040) . The results of these tests as seen in figure 3, prove our assumption of correct localizations.
Finally, in the video below, a working concept of the FlashLab project - a chip that serves as a detection tool based on the chemotaxis system of E. coli bacteria – is presented. In the video a commercial ibidi microfluidic chip filled with a suspension of bacteria expressing the chemoreceptor and chromoprotein (K1357008) can been seen. A solution of attractant (10-3M Histamine) was added to the chip and bacteria displacement was monitored and recorded
Video 1: from left to right:
(1) Histamine-Tar with Histamine attractant added.
(2) Histamine-Tar with Motility buffer added (control).
The results presented above, mainly proves the concept of the ability to alter the LBD of a chemoreceptor using software. Moreover, these results might help with breakthroughs and lead to newly designed reporters for novel detection.
References:
1. Reyes-Darias, J.A., Yang, Y., Sourjik, V., and Krell, T. (2015). Correlation between signal input and output in PctA and PctB amino acid chemoreceptor of Pseudomonas aeruginosa. Mol. Microbiol. 96, 513–525.
2. Moretti, R., Bender, B.J., Allison, B. and Meiler, J., 2016. Rosetta and the Design
of Ligand Binding Sites. Computational Design of Ligand Binding Proteins, pp.47-62.