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| On the other hand the defense system will consist of DNA and RNA degradation by toxins which will be transcribed by T3 or T7 RNA-Polymerases fast enough to stop phage assembly and scattering in the environment. Simultaneously, a quorum sensing signal will be difunding to the non-infected bacterias acting as a transcriptional activator of an antisense RNA against bacteriophage's transcriptional machinery , hence "warning" the population to prepare against further T3 or T7 infection.<br> | | On the other hand the defense system will consist of DNA and RNA degradation by toxins which will be transcribed by T3 or T7 RNA-Polymerases fast enough to stop phage assembly and scattering in the environment. Simultaneously, a quorum sensing signal will be difunding to the non-infected bacterias acting as a transcriptional activator of an antisense RNA against bacteriophage's transcriptional machinery , hence "warning" the population to prepare against further T3 or T7 infection.<br> |
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- | Furthermore, we will implement a stochastic population model based on the basic properties of the bacterial cells and the phages such as movement, reproduction, etc. The model will make simulations of the infection processes and quantification of the efficiency of our system possible.<br> | + | Furthermore, we will implement a stochastic [[Team:LCG-UNAM-Mexico: | multi-scale model]]. The model will simulate the behaviour at the intracellular scale using [[Team:LCG-UNAM-Mexico:Molecular model | stochastic molecular simulations]] and at the populations scale using a [[Team:LCG-UNAM-Mexico:CA | Cellular Automata]] and a [[Team:LCG-UNAM-Mexico:odes | system of ODE's]]. <br> |
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| =='''Delivery'''== | | =='''Delivery'''== |
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| == '''Defence'''== | | == '''Defence'''== |
- | {|
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- | |-valign="top" border="0"
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- | |width="370px" style="padding: 0 20px 0 0;"|
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- | |Defence system
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- | | System
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- | |Lab
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- | |Model
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- | | Phage Detection
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- | | When phage T7 or T3 transduce their DNA into the host cell, the phage's polymerase will be able to bind the promoter of the system, which will activate two subsequent actions: production of toxins to inhibit further phage propagation, and a neighborhood alarm. The first thing translated is GFP
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- | the part contents, in order of appearance, are as follows.-
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| + | The Defence System |
- | | Translation process Sabotage
| + | We designed a kamikaze system that will prevent the spreading of phage infection. We fused T7’s promoter with the rRNAse domain of colicin E3 and GFP gene as a reporter. Colicin E3 is a toxin that cleaves 16s rRNAs in active ribosomes of E. Coli. <br> Naive T7 will infect protected E. Coli which will start producing toxins that deactivate ribosomes. The result: No translation Machinery, no phages production and a heroic bacterium’s death. We expect the burst size to be significantly reduced when our system is working.<br><br> |
- | | One of the elements transcribed by T7 RNA polymerase at early stages of T7 cycle in our transformed bacteria is the suicide system which consists of a polycistronic mRNA that codes among other proteins, the rRNAse domain of colicin E3, this toxin cleaves 16s rRNAs in active ribosomes from E. Coli, which causes inactivation of the ribosome and a subsequent decay in the overall bacterial translation, this response of our system affect T7 Cycle by reducing the number of bacteriophage proteins and then lowering the number of T7 phages at the end of the cycle.
| + | A virus infection is a process that takes place inside and individual but the real consequences of the infection become important at the population scale. In order to efficiently and accurately simulate the behaviour of The Defence System we need to implement two different kinds of approaches: an individual-based simulation and a population simulation, and then integrate them in a Multi-Scale Model.<br><br> |
| + | Our construction for the Defence System also integrates LuxI in order to create an Alarm Response. Once a bacterium gets infected T7 promoter will activate the transcription of E3, GFP and LuxI so AHL will be produced and diffused to the extracellular environment.<br><br> |
| + | In order to simulate the spatial dynamics of the Defence System we designed and implemented a Cellular Automata (CA). Using the CA we can approach several problems at the same time: E. Coli movement and duplication, AHL and phage diffusion and the infection process. Parameters for the bacteria in the CA are random variables so we sample the distributions created by the Stochastic Kinetic Simulations:<br><br> |
| + | Finally we create the multi-scale model sampling the distributions created by the Stochastic Kinetic Simulations and use those values as parameters for the cells in the CA. |
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- | | Alarm and Paranoia
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- | | luxI is another product from the suicide system, infected cells produce it in order to warn surrounding cells of phages' presence through AHL.
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- | When a neighboring cell has been reached by AHL it turns on an antisenseRNA against a T7 messenger to interrupt its life cycle if it becomes infected, this delay in the life cycle of T7 gives more time to colicins to act upon the translation machinery reducing active ribosomes to zero before the assembly of any T7 particle.
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- | A virus infection is a process that takes place inside and individual but the real consequences of the infection become important at the population scale. In order to efficiently and accurately simulate the behaviour of our system we need to implement two different kinds of approaches: an individual-based simulation and a population simulation.
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- | <br>
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- | We designed a kamikaze system that will prevent the spreading of phage infection. We fused T7’s promoter with toxin E3 and GFP genes. Naive T7 will infect protected ''E. Coli'' which will start producing toxins that deactivate ribosomes. The result: No translation Machinery, no phages production and a heroic bacterium’s death. We expect the burst size to be significantly reduced when our system is working.
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- | We designed and implemented a stochastic simulation for the essential reactions involved in the infection process: T7’s DNA insertion, transcription, translation, capsid assembly, toxins production, DNA degradation etc. With a fairly big number of simulations we are going to generate probability distributions for the number of molecules for each metabolite as a function of time. We are particularly interested in the Burst-Size Distribution (BSD); the burst-size is the number of phages an infected cell will produce.
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- | Once we have the BSD we are ready for the Spatial Population Model. The kamikaze system we designed is meant to increase the probability that the population as a whole survive an infection process. We make infected-E. Coli commit suicide for the benefit of the population. In case suicide wasn’t altruistic enough we thought an ‘’alarm system’’ might be useful. Once a bacterium is infected it will use Quorum Sensing to communicate the message that phages are near, advised bacteria will produce antisense RNA against phage DNA Polymerase.
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- | To simulate this system we used two different approaches:
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- | We solved the system of Ordinary Differential Equations (ODE’s) described in REFERENCE and We designed and implemented a Cellular Automaton (CA).
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- | Using the CA we simulate:
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- | * Bacteria’s duplication, movement, infection and lysis.
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- | * AHL and T7 Diffusion.
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- | * The alarm system.
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- | So let’s put all together:
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- | Parameters of the events occurring in the CA are random variables that take values according to a corresponding Probability Distribution. We have distributions from literature and distributions generated by our simulations. So, for instance, when a bacterium gets infected we sample the Burst-Size Distribution, when a bacterium duplicate we sample the Duplication Time Distribution to assign lifetime to the newborn bacteria and so on. Sampling the distributions is the link between kinetic and population simulations: Random Variables in the population simulations take values from the kinetic simulations and ''voila'' we have our multi-scale stochastic model.
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| ==='''System Specifications'''=== | | ==='''System Specifications'''=== |
| <br>Construction: | | <br>Construction: |