Difference between revisions of "Team:Evry Paris-Saclay"

 
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<h1  style="font-weight:800;">DESCRIPTION</h1>
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<h1  style="font-weight:800; text-align:center;">PEP<b style="color:black;">Talk</b></h1>
  
 
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<p>Our project aims to build a synthetic intercellular communication system. In natural ecosystems, there already exist several mechanisms which bacteria utilize to interact among themselves for latency, reproduction, or survival. Bacteria can produce signaling molecules that are sensed by others of their species, or even of other species, to trigger a molecular response. These communication systems can be engineered to regulate and automatize industrial bioprocesses. An important feature that would help achieve this goal is the orthogonality of the signaling molecules. The more specific the send-sense system is, the more efficiently the response of the targeted microorganism can be engineered.
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<p style="font-size:15px;">“Communication is Key” is a universal principle that applies to all levels of organization: from microbial colonies
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to human social networks. Communication helps single-celled organisms to determine their collective fate by quorum sensing, and individual footballers
We find the recently described phage communication system to be a good candidate for synthetic cell-cell interaction (Zohar et al., 2017 Nature 541, 488-493). The system uses a secreted peptide called “arbitrium” to control phage-mediated bacterial lysis. The principal genes in charge of this regulated lysis have been validated in phage Phi3T and B. subtilis. However, to our knowledge there are 17 orthologous genes that encode similar peptides and their receptors, which have not yet been characterized. A key part of our project goals is to characterize a library of these different arbitrium peptides and their receptors for orthogonality. This will help identify unique peptide-receptor pairs that do not exhibit cross-talk for future use in engineering of unambiguous cell-cell communication. Additionally, we will test and expand the use of the peptide-based communication system from Bacillus to E. coli, a more widely used model bacterium. This will benefit many academic and industrial projects by enabling multiple parallel channels of communication between cells.
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to coordinate the winning goal for their team (<i>Allez les bleus</i>!). However, if the language used to communicate has limited vocabulary, or if the
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individuals are not able to understand the words, it’s hard to have any meaningful conversation.
The newly validate communication system will be also be integrated into a co-culture of two different species of bacteria. Co-culturing more than one microorganism has been used as a strategy for mainly industrial process. It has been shown that the engineered co-culture displays robustness, tolerance for toxic metabolic waste and resistance to stress conditions (<i>Goers et al., 2014, J R Soc Interface 11, 20140065</i>). Moreover, engineered co-cultures can be used for many other applications such as biocatalysis or bioremediation, bioproduction of high-valued compound with metabolic engineering, complex protein expression, among others.
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<img style="margin-left:auto; margin-right:auto;" src="https://static.igem.org/mediawiki/2018/c/c0/T--Evry_Paris-Saclay--Home1.png" alt="" /><br/><br/>
An engineering-ready specific communication system like ours could also be useful within the framework of distributed biological computing. Instead of implementing complex molecular circuits in one cell, it would enable bioengineers to implement simpler circuits in multiple cells of a consortium and integrate circuit outputs later. This would make building large-scale circuits easier to implement, more modular and less noisy, while reducing the expression burden on individual cells (<i>Macía et al., 2012 Trends Biotechnol 30, 342-349</i>). In practical terms, the envisioned bacterial communication system would have numerous benefits, some of them relevant to the fields of biomedicine (Kim et al., 2018, bioRxiv 308734), bioengineering and bioremediation (<i>Macia & Sole, 2014, PLoS ONE 9, e81248</i>). It would also enable new ways of engineering multicellular biomaterials, such as biofilms or tissue architectures (<i>Macia & Sole, 2014, PLoS ONE 9, e81248</i>).
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<p style="font-size:15px;">Biological engineering over the past few decades has turned bacteria into biosensors, nano-robots and production factories. As these applications are organised for higher-level tasks, multiple different bacteria will be needed to work in a consortium each with their own assigned sub-task. However, such division of labour can only be efficient if the bacteria can communicate with each other using unambiguous language.
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<img style="margin-left:auto; margin-right:auto; width:30%;" src="https://static.igem.org/mediawiki/2018/9/9e/T--Evry_Paris-Saclay--Home2.png" alt="" /><br/><br/>
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<p style="font-size:15px;">If the communication language has non-orthogonal words, it has cross-talk with other words already existing. That means it can be misunderstood. To demonstrate the point, let’s say we coin a new word “iGEM” for a newly discovered <u>i</u>ridescent <u>GEM</u>stone. It will be very confusing for iGEMers, who may misinterpret the gemstone for the gem competition. Similarly, if the word “iGEM” is used to describe all college competitions, it will become hard to understand what a speaker means by it.  To have efficiency in communication, it is better to have “orthogonal” or unique words that describe unique things (One exception, of course, is poetry where wordplay and redundancy creates beauty. We hope our bacteria are not going to be reading Shakespeare any time soon!).
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<img style="margin-left:auto; margin-right:auto; width:70%;" src="https://static.igem.org/mediawiki/2018/thumb/8/8b/T--Evry_Paris-Saclay--Home3.png/1200px-T--Evry_Paris-Saclay--Home3.png" alt="" /><br/><br/>
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<p style="font-size:15px;">Some examples of synthetic bacterial consortia have already been implemented. However, they are currently engineered using a very small set of signalling molecules (like AHL in bacteria, or α-factor in yeast) for cell-to-cell communication, thus limiting the potential of this powerful technology. To advance multicellular synthetic biology, it is critical to develop an efficient communication system with a larger vocabulary...
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<img style="margin-left:auto; margin-right:auto; width:30%;" src="https://static.igem.org/mediawiki/2018/8/83/T--Evry_Paris-Saclay--Home4.png" alt="" /><br/><br/>
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<p style="font-size:15px;">… where words have unique meanings for unambiguous communication.
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<img style="margin-left:auto; margin-right:auto; width:70%;" src="https://static.igem.org/mediawiki/2018/thumb/8/8c/T--Evry_Paris-Saclay--Home5.png/1200px-T--Evry_Paris-Saclay--Home5.png" alt="" /><br/><br/>
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<p style="font-size:15px;">The aim of our project is to build a synthetic communication system with an expandable peptide vocabulary so that bacteria can send different and specific signals to communicate different things. After all, using the same word “Woof” for “I am hungry”, “I am sleepy”, or “I am angry” is not that efficient, is it?</p><br/>
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<p style="font-size:15px;">To implement this in PEPTalk, we re-purpose the small peptide based signalling system of SPbeta group of Bacillus bacteriophages for application in the more widely used laboratory workhorse: <i>Escherichia coli</i>.</p><br/>
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<p style="font-size:15px;">There are already 17 different signalling peptides identified in this group of bacteriophages. That means we already have 17 words in this new dictionary! Moreover, since the signalling molecule is a small peptide that is recognised by another protein receptor, it would be possible to evolve this peptide-receptor pair to expand the number of words available.</p><br/>
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<p style="font-size:15px;">The signalling system of SPbeta group bacteriophages works in multiple steps. First, the bacteriophage infects a bacterium in the culture.</p><br/>
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<img style="margin-left:auto; margin-right:auto; width:30%;" src="https://static.igem.org/mediawiki/2018/5/51/T--Evry_Paris-Saclay--Home6.png" alt="" /><br/><br/>
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<p style="font-size:15px;">Inside the bacterium, the phage starts replicating and produces a small peptide which is released from the cell to the outside, and accumulates in the extracellular environment. Peptide concentrations in the environment are low in the beginning, so the phages kill the infected bacteria and escape to infect new hosts.</p><br/>
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<img style="margin-left:auto; margin-right:auto; width:60%;" src="https://static.igem.org/mediawiki/2018/b/b8/T--Evry_Paris-Saclay--Home7.png" alt="" /><br/><br/>
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<p style="font-size:15px;">As more bacteria get infected, extracellular peptide concentration also increases, encouraging entry of the secreted peptide into non-infected bacteria. When these bacteria get infected by a phage, the peptide is sensed by the peptide receptor in the bacterium that blocks cell lysis. This signalling system in the natural phage system ensures that the phages do not kill all their hosts early in the infection, which would result in a critical decrease in phages’ survival.</p><br/>
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<img style="margin-left:auto; margin-right:auto; width:60%;" src="https://static.igem.org/mediawiki/2018/1/16/T--Evry_Paris-Saclay--Home8.png" alt="" /><br/><br/>
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<p style="font-size:15px;">While the phages use their peptide communication system for nefarious purposes, we want to rescue the phage language and use it for something constructive. We want to implement it for cell-to-cell communication in <i>E. coli</i>. We decided to engineer this particular communication system because it is a good candidate for creating a large library of orthogonal words. More information in the <a href="https://2018.igem.org/Team:Evry_Paris-Saclay/Description">Project Description</a>.</p>
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Latest revision as of 00:24, 18 October 2018


TO CONTACT US
Genopole Campus 1, Batiment 6, 91030 Evry Cedex, France
+33 7 69 96 68 31
igemevry@gmail.com

© Copyright 2018
Design & Developpement by
IGEM EVRY GENOPOLE

PEPTalk

“Communication is Key” is a universal principle that applies to all levels of organization: from microbial colonies to human social networks. Communication helps single-celled organisms to determine their collective fate by quorum sensing, and individual footballers to coordinate the winning goal for their team (Allez les bleus!). However, if the language used to communicate has limited vocabulary, or if the individuals are not able to understand the words, it’s hard to have any meaningful conversation.




Biological engineering over the past few decades has turned bacteria into biosensors, nano-robots and production factories. As these applications are organised for higher-level tasks, multiple different bacteria will be needed to work in a consortium each with their own assigned sub-task. However, such division of labour can only be efficient if the bacteria can communicate with each other using unambiguous language.




If the communication language has non-orthogonal words, it has cross-talk with other words already existing. That means it can be misunderstood. To demonstrate the point, let’s say we coin a new word “iGEM” for a newly discovered iridescent GEMstone. It will be very confusing for iGEMers, who may misinterpret the gemstone for the gem competition. Similarly, if the word “iGEM” is used to describe all college competitions, it will become hard to understand what a speaker means by it. To have efficiency in communication, it is better to have “orthogonal” or unique words that describe unique things (One exception, of course, is poetry where wordplay and redundancy creates beauty. We hope our bacteria are not going to be reading Shakespeare any time soon!).




Some examples of synthetic bacterial consortia have already been implemented. However, they are currently engineered using a very small set of signalling molecules (like AHL in bacteria, or α-factor in yeast) for cell-to-cell communication, thus limiting the potential of this powerful technology. To advance multicellular synthetic biology, it is critical to develop an efficient communication system with a larger vocabulary...




… where words have unique meanings for unambiguous communication.




The aim of our project is to build a synthetic communication system with an expandable peptide vocabulary so that bacteria can send different and specific signals to communicate different things. After all, using the same word “Woof” for “I am hungry”, “I am sleepy”, or “I am angry” is not that efficient, is it?


To implement this in PEPTalk, we re-purpose the small peptide based signalling system of SPbeta group of Bacillus bacteriophages for application in the more widely used laboratory workhorse: Escherichia coli.


There are already 17 different signalling peptides identified in this group of bacteriophages. That means we already have 17 words in this new dictionary! Moreover, since the signalling molecule is a small peptide that is recognised by another protein receptor, it would be possible to evolve this peptide-receptor pair to expand the number of words available.


The signalling system of SPbeta group bacteriophages works in multiple steps. First, the bacteriophage infects a bacterium in the culture.




Inside the bacterium, the phage starts replicating and produces a small peptide which is released from the cell to the outside, and accumulates in the extracellular environment. Peptide concentrations in the environment are low in the beginning, so the phages kill the infected bacteria and escape to infect new hosts.




As more bacteria get infected, extracellular peptide concentration also increases, encouraging entry of the secreted peptide into non-infected bacteria. When these bacteria get infected by a phage, the peptide is sensed by the peptide receptor in the bacterium that blocks cell lysis. This signalling system in the natural phage system ensures that the phages do not kill all their hosts early in the infection, which would result in a critical decrease in phages’ survival.




While the phages use their peptide communication system for nefarious purposes, we want to rescue the phage language and use it for something constructive. We want to implement it for cell-to-cell communication in E. coli. We decided to engineer this particular communication system because it is a good candidate for creating a large library of orthogonal words. More information in the Project Description.