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__NOTOC__
==Engineering a synthetic molecular oscillator based on the Lotka-Volterra dynamic.==
'''Author(s): '''[[IGEM:IMPERIAL/2006|I. CoLi Team 2006]] - Christin Sander, Farah Vohra, John Chattaway, Tom Hinson, John Sy, Jiongjun Bai, Jonathan Wells, Deepti Aswani, Vincent Rouilly, Chueh-Loo Poh, Matthieu Bultelle, Kirsten Jensen, David Mann, Paul Freemont, Richard Kitney. <br>
'''Affiliations:''' Imperial College London, UK<br>
'''Contact:'''email: r.kitney(_at_)imperial.ac.uk <br>
'''Keywords:''' 'Biological Oscillator' 'Lotka Volterra' 'iGEM 2006'


=Engineering a synthetic molecular oscillator based on the lotka volterra dynamic model=
[[Category:BioSysBio Keywords iGEM]]  
'''Author(s): '''[[IGEM:IMPERIAL/2006|I. CoLi Team 2006]]<br>
[[Category:BioSysBio Keywords Synthetic Biology]]
'''Affiliations:''' Imperial College <br>
'''Contact:'''email: your_e-mail <br>
'''Keywords:''' 'iGEM' 'Biological Oscillator' 'AHL' 'AiiA'
 
[[Category:BioSysBio Keywords add_keyword_1]]  
[[Category:BioSysBio Keywords add_keyword_2]]
[[Category:BioSysBio Keywords add_keyword_3]]
[[Category:BioSysBio Keywords add_keyword_3]]
[[Category:BioSysBio Keywords add_keyword_4]]
[[Category:BioSysBio Keywords add_keyword_4]]


=Abstract=
=Abstract=
'''Oscillators or clocks are a vital part of all electronic devices from computers to televisions they allow synchronisation of a system which prevents an overflow of information. Stable biological oscillators are a vital first step towards synthetic biological computers which can harness the massive parallel computing power inherent to biological systems. We have designed a synthetic biological oscillator which can be used in synthetic biological circuits. '''


''' It is based on predator prey dynamics and creates population wide synchronised oscillations of the concentration of an Acyl Homoserine Lactone molecule. The oscillations are driven by a synthetic quorum sensing / quenching mechanism which has been designed to behave in such a way that it fits the lotka volterra population dynamics model. The machinery is housed in two separate populations of cells which do not kill each other. Instead the cell density of the cell populations is proportional to parameters of the model such as the AHL production rate. Thereby altering the relative cell densities of the cells in our system allows us to tune the frequency and amplitude of the oscillations. This system works in mathematical models and we are currently trying to build it.
'''


'''[[http://openwetware.org/wiki/IGEM:IMPERIAL/2006 For full details visit our openwetware project site]]''' I recomend visiting the design pages for a more complete overview
==Background==
Oscillators are a fundamental building block in many engineering fields, as they provide the basis for counting, timing and synchronisation. Oscillators are found in many everyday devices such as clocks, computers or radios. Similarly, oscillations are an essential part of biological systems - providing the basis for, for example, rhythmic patterns and regulatory networks. The ability to build a stable, controllable biological oscillator would be a major step towards reliable synthetic biology based circuits.
Elowitz et. al. were part of the first ones to try to build an oscillator. Their oscillator was based on genetic network at the single cell level. However, due to the stochastic behaviour inherent at the gene expression level, the oscillations were not stable or persistent([http://www.openwetware.org/wiki/IGEM:IMPERIAL/2006/Bibliography_%26_Papers#Oscillators refs.]). In this paper, we present an original oscillator design produced during the iGEM-2006 competition at Imperial College. The project addressed stability and reliability issues by defining an oscillator at the population level and by applying strict engineering rules to the system development process.
 
 
 
==Methods==
[[Image:iGEM_IMPERIAL_Methodology.png|thumb|right|150px|Fig. 1: Illustration of the Methodology]]
This iGEM project combined genetic engineering methods with a clearly defined development cycle, copied from the traditional engineering approach - a cycle of specification, [http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/Oscillator/Design design], [http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/Oscillator/Modelling modelling], [http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/parts testing] and [http://www.openwetware.org/wiki/IGEM:IMPERIAL/2006/Ligation_Page implementation] - with biological processes to produce a synthetic biological oscillator.<br>
 
The overall specification aim was to build a biological oscillator in E.Coli based on the Lotka-Volterra population dynamics. This approach was used to design a synthetic quorum sensing & quenching mechanism, made of BioBricks ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/Oscillator/Design design page]). In order to satisfy the requirements for the Lotka-Volterra predator-prey dynamics BioBricks were constructed to show properties such as exponential growth of a prey molecule (Acyl Homoserine Lactone) ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/Oscillator/Parts parts page]).
In order to reduce the complexity of the overall assembly, test constructs were built to characterise the different system components. Because the design comprises BioBricks in a two population system, the parameters of the oscillations can be controlled to achieve synchronised oscillations. Furthermore, since the system uses population wide oscillations, it enables other devices to synchronise the oscillator.
 
It is important to determine the component properties and their impact on the overall system. Hence, the modelling of the pure and modified Lotka-Volterra dynamics, along with the test constructs, were carried out. Because BioBricks were used in the design, the implementation was carried out with standard [http://www.openwetware.org/wiki/IGEM:IMPERIAL/2006/Ligation_Page assembly]. At the testing stage, the test constructs were characterised ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006/Protocols protocols page]). Consequently, the properties and constraints on the full system could be extracted. (See a summary of the method below.)


==Results==
Add your text here


==Images/Tables==
==Results==
Add your images or tables here
BioBricks composing the test constructs and the final oscillator were engineered and a number of important results were extracted from the modelling and testing stages: i) The test constructs/BioBricks representing the different parts of the oscillator were characterised from testing in E.Coli (DH5α) ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/parts testing page]). ii) The model of the test constructs, which included experimental data, predicted stable oscillations as output of the full system ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/Oscillator/Modelling modelling pages]). iii) The influence of specific system parameters on the frequency, amplitude and stability of the oscillations was investigated with the Lotka-Volterra model ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006/project/Oscillator/Modelling/LV LV model]).


==Materials/Methods==
Add your text here


==Conclusion==
==Conclusion==
Add your text here
In the project, fundamental units of the system were fabricated and characterised. These have been added to the Registry of Standard Biological Parts ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006/Contributions Contributions page]). The modelling exercise was highly successful and we fully expect to complete a stable synthetic biology based oscillator to be completed in the near future.
 
 
 
For full details visit our openwetware project site ([http://openwetware.org/wiki/IGEM:IMPERIAL/2006 OWW]).


==References==


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__NOTOC__
==A Summary of Our Methods==
{| border="1" cellpadding="5" cellspacing="0" align="left" style="width:100%"
|-
| colspan="2" style="background:#efefef;" | '''SPECIFICATIONS'''
|-
| [[Image:Designdocfig4.png|thumb|200px|center|Fig. 2: Biological oscillator]]
* Deliver a stable biological oscillator.
* Measurable output.
* Frequency and amplitude tunable.
* Produce documentation at each step for quality control and traceability purposes.
|-
| colspan="2" style="background:#efefef;" | '''DESIGN'''
|-
| [[Image:PreyPredatorCellsmall.PNG|thumb|200px|center|Fig. 3: Design showing the two-population system and the BioBricks within each cell]]
* Based on Lotka-Volterra dynamic.
* Use of Quorum sensing-quenching BioBricks from MIT Registry.
* Population wide oscillations of AHL.
* Two cell population system defined to be able to tune frequency and amplitude.
* Definition of test constructs to break down complexity and to allow fine characterization.
|-
| colspan="2" style="background:#efefef;" | '''MODELLING'''
|-
| [[Image:FullSystemModel.PNG|thumb|200px|center|Fig. 4: Full system model in cell designer and its output, showing oscillations]]
* Test construct modelling.
* Investigation of the Lotka-Volterra dynamic.
* Full system modelling.
|-
| colspan="2" style="background:#efefef;" | '''IMPLEMENTATION'''
|-
| [[Image:Ligation chart 10 aug.JPG|thumb|160px|center|Fig. 5: Overview of the ligations]]
* Based on BioBricks.
* Use of the Standard Assembly.
* Quality control procedure based on sequencing.
|-
| colspan="2" style="background:#efefef;" | '''TESTING-VALIDATION'''
|-
| [[Image:J37016graph2.PNG|thumb|200px|center|Fig. 6: Representative testing result for one of the testing constructs]]
* Definition of testing protocols to satisfy specifications.
* Characterisation of the different test construts.
* Characterisation of the two-cell population oscillator
|}
 
<br>

Latest revision as of 10:02, 29 September 2006

Engineering a synthetic molecular oscillator based on the Lotka-Volterra dynamic.

Author(s): I. CoLi Team 2006 - Christin Sander, Farah Vohra, John Chattaway, Tom Hinson, John Sy, Jiongjun Bai, Jonathan Wells, Deepti Aswani, Vincent Rouilly, Chueh-Loo Poh, Matthieu Bultelle, Kirsten Jensen, David Mann, Paul Freemont, Richard Kitney.
Affiliations: Imperial College London, UK
Contact:email: r.kitney(_at_)imperial.ac.uk
Keywords: 'Biological Oscillator' 'Lotka Volterra' 'iGEM 2006'

Abstract

Background

Oscillators are a fundamental building block in many engineering fields, as they provide the basis for counting, timing and synchronisation. Oscillators are found in many everyday devices such as clocks, computers or radios. Similarly, oscillations are an essential part of biological systems - providing the basis for, for example, rhythmic patterns and regulatory networks. The ability to build a stable, controllable biological oscillator would be a major step towards reliable synthetic biology based circuits. Elowitz et. al. were part of the first ones to try to build an oscillator. Their oscillator was based on genetic network at the single cell level. However, due to the stochastic behaviour inherent at the gene expression level, the oscillations were not stable or persistent(refs.). In this paper, we present an original oscillator design produced during the iGEM-2006 competition at Imperial College. The project addressed stability and reliability issues by defining an oscillator at the population level and by applying strict engineering rules to the system development process.


Methods

Fig. 1: Illustration of the Methodology

This iGEM project combined genetic engineering methods with a clearly defined development cycle, copied from the traditional engineering approach - a cycle of specification, design, modelling, testing and implementation - with biological processes to produce a synthetic biological oscillator.

The overall specification aim was to build a biological oscillator in E.Coli based on the Lotka-Volterra population dynamics. This approach was used to design a synthetic quorum sensing & quenching mechanism, made of BioBricks (design page). In order to satisfy the requirements for the Lotka-Volterra predator-prey dynamics BioBricks were constructed to show properties such as exponential growth of a prey molecule (Acyl Homoserine Lactone) (parts page). In order to reduce the complexity of the overall assembly, test constructs were built to characterise the different system components. Because the design comprises BioBricks in a two population system, the parameters of the oscillations can be controlled to achieve synchronised oscillations. Furthermore, since the system uses population wide oscillations, it enables other devices to synchronise the oscillator.

It is important to determine the component properties and their impact on the overall system. Hence, the modelling of the pure and modified Lotka-Volterra dynamics, along with the test constructs, were carried out. Because BioBricks were used in the design, the implementation was carried out with standard assembly. At the testing stage, the test constructs were characterised (protocols page). Consequently, the properties and constraints on the full system could be extracted. (See a summary of the method below.)


Results

BioBricks composing the test constructs and the final oscillator were engineered and a number of important results were extracted from the modelling and testing stages: i) The test constructs/BioBricks representing the different parts of the oscillator were characterised from testing in E.Coli (DH5α) (testing page). ii) The model of the test constructs, which included experimental data, predicted stable oscillations as output of the full system (modelling pages). iii) The influence of specific system parameters on the frequency, amplitude and stability of the oscillations was investigated with the Lotka-Volterra model (LV model).


Conclusion

In the project, fundamental units of the system were fabricated and characterised. These have been added to the Registry of Standard Biological Parts (Contributions page). The modelling exercise was highly successful and we fully expect to complete a stable synthetic biology based oscillator to be completed in the near future.


For full details visit our openwetware project site (OWW).


A Summary of Our Methods

SPECIFICATIONS
Fig. 2: Biological oscillator
  • Deliver a stable biological oscillator.
  • Measurable output.
  • Frequency and amplitude tunable.
  • Produce documentation at each step for quality control and traceability purposes.
DESIGN
Fig. 3: Design showing the two-population system and the BioBricks within each cell
  • Based on Lotka-Volterra dynamic.
  • Use of Quorum sensing-quenching BioBricks from MIT Registry.
  • Population wide oscillations of AHL.
  • Two cell population system defined to be able to tune frequency and amplitude.
  • Definition of test constructs to break down complexity and to allow fine characterization.
MODELLING
Fig. 4: Full system model in cell designer and its output, showing oscillations
  • Test construct modelling.
  • Investigation of the Lotka-Volterra dynamic.
  • Full system modelling.
IMPLEMENTATION
Fig. 5: Overview of the ligations
  • Based on BioBricks.
  • Use of the Standard Assembly.
  • Quality control procedure based on sequencing.
TESTING-VALIDATION
Fig. 6: Representative testing result for one of the testing constructs
  • Definition of testing protocols to satisfy specifications.
  • Characterisation of the different test construts.
  • Characterisation of the two-cell population oscillator