Team:Newcastle/Stochasticity

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__NOTOC__
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=Stochastic Switch=
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=Stochasticity=
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==Introduction==
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One of the most unique aspects of our project is our synthetic stochastic switch which regulates the decision to be a metal container spore, or a spore that can go on to germinate as part of the normal life cycle.
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==Stochastic Switch Examples==
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One of the most exciting aspects of our project is our synthetic stochastic switch. The switch regulates the decision to become a non-germinating metal container spore, or a spore that can go on to germinate as part of the normal life cycle. Whilst stochastic oscillators have been implemented before using transcriptional regulators, our switch makes use of an invertable DNA segment to ensure that the decision is heritable.
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===Natural switches: Sin (Sporulation Inhibition) operon===
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The ''Sin'' (Sporulation Inhibition) operon can be used as the stochastic switch. It is a natural bistable switch.  
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By differentially controlling the expression of the Hin invertase, we designed our switch to be tunable to achieve a biased heads or tails response, allowing a range of probabilities of orientation of the invertable segment to be achieved.
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[[Image:SinOperon.jpg]]
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[[Image:Newcastle r Switchv2.gif|center]]
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During normal conditions, ''SinR'' is expressed constitutively by P3 and keeps its concentration at a constant level repressing promoter 1. When transcription of promoter1 is activated by phosphorylated Spo0A, both sinI and sinR are expressed from promoter 1. ''SinI'' inactivates ''SinR'' by forming a complex with ''sinR'' upregulating both proteins from promoter1. This cross repression, inhibition of SinR by ''SinI''  and  the transcriptional represion of sinI by ''SinR'', forms the basis of the bistability. While the positive feedback in the production of ''SinI'' enhances the bistability, it also causes increase in ''sinR'' levels because of the expression from promoter 1 hence causing oscillations.[1]
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==Novelty in this sub-project==
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The ''Sin'' operon controls the early stages of sporulation and has a key role to control the sporulation without disturbing its regulation. The threshold of this switch to progress into sporulation can be controlled by varying some parameters, hence providing population heterogeneity.  Tight binding of ''SinR'' to the first promoter region  with fewer ''sinR'' molecules increases this heterogeneity. By mutating the first promoter, the binding affinity of sinR the promoter can be increased.
+
We designed a synthetic stochastic switch by using an invertible segment of DNA flanked by a pair of promoters. Depending on the orientation of the invertible sequence, coding sequences will be expressed which reflect the decision to be a metal container or not. We also tuned the natural stochasticity of the sporulation system towards greater sporulation rates by altering the rate of ''Spo0A'' phosphorylation.
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With variations on ''SinI'':''SinR'' interaction strength,  transcription rate of ''sinR'' from the third promoter and the expression rate of ''SinR'', dynamics of the system can be altered.[1]
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''SinR'' and ''SinI'' can be used to regulate the heavy metal sequestration. Only in a sub population of the bacteria, sinI will be expressed at sufficient levels to trigger our system. Whereas sinR will be expressed in all cells.
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[[Image:Team_Newcastle_iGEM_2009_StochasticSwitch_GFP_2.png|thumb|center|350px|Gfp concentrations. IPTG:[0-9000nM], Xylose=[0-9000nM], Arabinose=1000nM]]
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So with this approach we can say that only a small population of the cells will get the heavy metals. If we want the other way we can switch the roles of ''SinI'' and s''inR''.With the normal conditions only 2% of the population express enough sinI.[2]
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===''Spo0A'' phosphorylation===
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==BioBrick constructs==
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''Spo0A'' phoshorylation itself is also a bitsable switch so that a subset of the population will be on spo0A ON state [2,3]. We can trigger sporulation therefore by expressing more ''KinA'' on one side of the switch.
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#http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1449569
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There are a number of bricks involved within the stochastic switch construct.
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#http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=2430929&blobtype=pdf
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#http://arjournals.annualreviews.org/doi/pdf/10.1146/annurev.micro.62.081307.163002
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=====Sin operon details=====
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The stochastic brick construct uses the Hin invertase system in order to flip a region between Hix sites. The directionality of the promoter determines whether the switch is 'on' or 'off'. When the promoter is facing right it allows transcription of genes that control:
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[http://www.ncbi.nlm.nih.gov/nuccore/143546?ordinalpos=1&itool=EntrezSystem2.PEntrez.Sequence.Sequence_ResultsPanel.Sequence_RVDocSum#sequence_143546 Sin operon in GenBank]
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'''sinR''': Positive regulation of comK; negative regulation of aprE, kinB, sigD, spo0A, spoIIA, spoIIE, spoIIG
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** Prevention of germination
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** Upregulation of sporulation rate
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** Expression of the metal sponge (SmtA)
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** Decreased cadmium efflux
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** Upregulation of cadmium import
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http://www.ncbi.nlm.nih.gov/entrez/viewer.fcgi?val=NC_000964.2&from=2551885&to=2552220&dopt=gb
 
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'''sinI''':Antagonist of ''SinR''
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Importantly, Hin is '''differentially expressed''' depending on the levels of the two inducible promoters that flank the invertable segment on which it lies. This means the segment can be '''biased''' in a predictable and controllable fashion to favour one orientation or the other.
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http://www.ncbi.nlm.nih.gov/entrez/viewer.fcgi?val=NC_000964.2&from=2551678&to=2551851&dopt=gb
 
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===[[Team:Newcastle/ Bistability in B.Subtilis|Bistability in ''Bacillus subtilis'']]===
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The following diagram shows our stochastic construct:
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===fimE switch===
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[[Image:Team NewcastleStochastic switch.png| center|550px]]
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# [http://genomics.lbl.gov/Stuff/TimHam-BandB-online%20version.pdf  fimE switch for DNA re-arrangement]
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A Tightly Regulated Inducible Expression System Utilising the fim Inversion Recombination Switch.(''E. Coli'') Timothy S. Ham, Sung Kuk Lee, Jay D. Keasling,Adam P. Arkin,Received 21 December 2005; accepted 2 March 2006 Published online 13 March 2006 in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/bit.20916
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We could use it switch off or on the production of a protein of our choice, such as the genes involved in germination.
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[[Image:Team newc Stoch key.png| 200px]]
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====The search for fimE equivalent in ''Bacillus subtilis''====
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===Prevention of germination===
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The prevention of germination is governed by another invertase switch. When the sequence faces right, a FimE protein is expressed which inverts a further promoter region. This promoter controls expression of the ''cwlD''  
 +
and ''sleB'' genes. If their promoter is in the correct orientation then the cell will be able to germinate and continue as a vegetative cell. However if their promoter has been flipped, the cell can not germinate following sporulation, and will be trapped as a metal containing spore.
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Gene list from BLAST search output in Subtilist web-server
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===Upregulation of sporulation rate===
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(7 matches)
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The upregulation of sporulation involves increasing KinA expression. ''kinA'' codes a kinase protein that phosphorylates the Spo0A protein to its active form. When the promoter region within our stochastic brick faces right, there will be increased KinA expression, and thus a greater sporulation rate.
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Organism  |No.           | Gene |Bp | Putative Function     |  Score | E-value
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===Metal sponge and cadmium influx/efflux===
 +
Our stochastic switch determines whether the spores can germinate, or whether they are commited to be metal containers that cannot germinate again. We need this switch as we cannot totally interrupt the natural life cycle of the bacteria, since a proportion of cells have to go on to seed the next generation.
 +
Expression of the metallothionein fusion protein (''cotC-gfp-smtA''), cadmium import channel (''mntH'') and the cadmium efflux channel (''cadA'') is also governed by the direction of the stochastic promoter. When the direction of promoter faces right, the metallothionein fusion protein's expression will be triggered, ant will soak up the cadmium. While the import channel is upregulated, the efflux system's activity will be slowed down to increase the amountof cadmium inside the cell.
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B.subtilist|BS000101011332|RipX: 295 site specific integrase... 82 | 2.00E-17
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===Stochastic Brick===
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We decided to get our stochastic construct synthesised, as trying to build the construct manually would be too time consuming. The following sequencher diagram shows the components of the construct we had synthesised.
 +
[[Image:Team newc Sequencher synth stoch.png| center|600px]]
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B.subtilist|BS000101010965|CodV: 303 sitespecific integrase... 73 | 1.00E-14
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===Testing construct===
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In order to test our construct we had to redesign using inducible promoters governing Hin invertase expression. We used the promoters ''pSpac'' and ''pxylA'' (Induced by IPTG and Xylose) to test our system. We include cut sites around these promoters in order to replace them with SigmaA promoters once the construct has been characterised.(See sequencher diagram above)
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B.subtilist|BS000101012099|YdcL: 367 unknown; similar to int... 30 | 0.13
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===Degradation controller===
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In order to have another level of control over the orientation of the promoter within the flipping region we added a degradation tag to the Hin invertase protein. The following paper describes how proteins including modified ''ssrA'' tags can be located to the ClpXP protease by an Sspb protein. This means that inducible Sspb expression can requlate degradation levels of the tagged protein.  
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B.subtilist|BS000101011909|AraM: 393 L arabinose operon         27 | 0.64
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[http://www3.interscience.wiley.com/journal/121415079/abstract?CRETRY=1&SRETRY=0 Inducible protein degradation in ''Bacillus subtilis'' using heterologous peptide tags and adaptor proteins to target substrates to the protease ClpXP ]
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B.subtilist|BS000101013550|YoeC: 94 unknown; similar to unkn... 25 | 3.2
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We decided to put the Sspb protein under the control of an arabinose inducible promoter as the following diagram illustrates. We also included a region of the ''sac'' gene in our construct, so that the region will integrate into the ''Bacillus'' genome at a region other than ''amyE''.  
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B.subtilist|BS000101013687|YorC: 125 unknown                         24 | 7.1
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[[Image:Team NewcIntegration Deg control.png |center|500px]]
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B.subtilist|BS000101011532|IlvD: 557 dihydroxyacid dehydratase 24 | 7.1
 
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B.subtilist|BS000101010010|YybT: 658 unknown similar to unk... 23 | 9.2
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We added a modified version of ''ssrA'' degradation tag onto the C-terminus of the Hin protein. Expressed proteins are therefore degraded by ClpXP. However mutations on the ''ssrA'' tag weaken the recognition by ClpX, and the modified tags require the SspB adaptor protein to be recognized. When the SspB protein is expressed the proteins tagged with modified version of ''ssrA'' tag are targeted for degradation. Otherwise they remain stable.
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In ''B. subtilis'' there is no ''sspB'' orthologue and SspB from ''E. coli'' works in ''B. subtilis''.  By regulating the levels of SspB by arabinose, we implemented an inducable protein degradation device.
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[[Image:Team_Newcastle_iGEM_2009_Degradation_Model_4.png|thumb|center|400px|Hin vs SspB according to the speed of degradation by ClpXP]]
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 +
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The wild type ''E. coli'' ''ssrA'' tag is '''AANDENY-ALAA''' (SspB recognition site – ClpX recognition site). As suggested in the paper, we took one of the modified ''ssrA'' tags to use in our system.
 +
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'''AANDENY-SENY-ALGG''' (SspB recognition site – SENY +4 Linker - ClpX recognition site)
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This tag works well in ''B. subtilis''. However, degradation tags can affect the activity of proteins. Different degradation tags may effect the activity of different proteins. It has been shown that this tag effected the activity of ComA(1).
 +
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#Griffith, K. L., and A. D. Grossman. 2008. Inducible protein degradation in ''Bacillus subtilis'' using heterologous peptide tags and adaptor proteins to target substrates to the protease ClpXP. Mol. Microbiol. 70:1012-1025.
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===Stochastic Modelling Tools===
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'''Matlab''' can be used for stochastic modelling. The Glasgow team used Matlab to implement the Gillespie algorithm for incorporating noise among cells. They also used deterministic modelling using ODEs and compared their results. When the number of cells increase two approaches become similar since the noise is cancelled out.
 +
 +
'''Stocks 2''' is another stochastic simulation tool which also uses Gillespie’s direct method and supports SBML.
 +
 +
We used computational modelling in Matlab to try to determine how to make our system tuneable.
 +
 +
Please see our [[Team:Newcastle/Modelling|modelling]] page for Matlab files on our stochastic switch model.
 +
 +
===FimE switch===
 +
The FimE switch is a similar switch to  the Hix system. However, it acts as a latch, meaning that once flipped the segmant will not flip back.
 +
# [http://genomics.lbl.gov/Stuff/TimHam-BandB-online%20version.pdf  fimE switch for DNA re-arrangement]
 +
A Tightly Regulated Inducible Expression System Utilising the fim Inversion Recombination Switch.(''E. Coli'') Timothy S. Ham, Sung Kuk Lee, Jay D. Keasling,Adam P. Arkin,Received 21 December 2005; accepted 2 March 2006 Published online 13 March 2006 in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/bit.20916
 +
We decided to use FimE to switch off or on the production of a protein of our choice, such as the genes involved in germination.
# [http://jb.asm.org/cgi/reprint/183/14/4190?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&fulltext=subtilis&searchid=1&FIRSTINDEX=880&resourcetype=HWFIG Control of the Arabinose Regulon in Bacillus subtilis by AraR In Vivo: Crucial Roles of Operators, Cooperativity, and DNA Looping]
# [http://jb.asm.org/cgi/reprint/183/14/4190?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&fulltext=subtilis&searchid=1&FIRSTINDEX=880&resourcetype=HWFIG Control of the Arabinose Regulon in Bacillus subtilis by AraR In Vivo: Crucial Roles of Operators, Cooperativity, and DNA Looping]
# [http://ukpmc.ac.uk/articlerender.cgi?artid=310841 Binding of the ''Bacillus subtilis'' spoIVCA product to the recombination sites of the element interrupting the sigma K-encoding gene] =>...DNA rearrangement that depends on the spoIVCA gene product...
# [http://ukpmc.ac.uk/articlerender.cgi?artid=310841 Binding of the ''Bacillus subtilis'' spoIVCA product to the recombination sites of the element interrupting the sigma K-encoding gene] =>...DNA rearrangement that depends on the spoIVCA gene product...
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===Hin/Hix system===
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===Bistability in ''Bacillus subtilis''===
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In 2006, Davidson team tried to solve the burnt pancake problem by using DNA rearrangement using Hin/Hix system from ''Salmonella typhimurium''. (http://parts2.mit.edu/wiki/index.php/Davidson_2006.)  Basically they tried to use the bacteria as a biomemory! They also have a paper published which is attached.
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Their animation explains the process quite well.
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Read this page to find more options for natural stochastic switches in ''Bacillus subtilis''.
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(http://www.bio.davidson.edu/people/kahaynes/FAMU_talk/Living_computer.swf)
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[[Team:Newcastle/ Bistability in B.Subtilis|Natural stochastic switches:Bistability in ''Bacillus subtilis'']]
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The parts they submitted to the parts registry have "W" flag which means they are working.
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And to find out how we are tuning sporulation using our stochastic switch choice see the sporulation tuning page.
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http://partsregistry.org/cgi/partsdb/pgroup.cgi?pgroup=iGEM2006&group=iGEM2006_Davidson
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==Stochastic Modelling Tools==
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===Lab strategies===
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===Matlab===
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To carry out our labwork we needed cloning strategies for all of our bricks and devices. Please see our [[Team:Newcastle/ Stochastic Switch cloning strategy| cloning strategies]] page for details on how we cloned our devices.  
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Matlab can be used for stochastic modelling. Glasgow team used Matlab implementing Gillespie algorithm to incorporate noise among cells. They also used deterministic modelling using ODEs and compared their results. When the number of cells increase two approaches become similar since the noise is cancelled out.  
+
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===Stocks 2===
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{|style="color:DarkBlue;background-color:#ffffcc;" cellpadding="20" cellspacing="0" border="1"
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Stocks 2 is another stochastic simulation tool which also uses Gillespie’s direct method and supports SBML.
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! colspan="2" |<font size=3> <center>'''Summary of lab work success:'''</center></font>
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|-
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|'''Date:'''
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|'''Achievement:'''
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|-
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|11/09/09
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|Successfully cloned the ''sspB'' degradation controller fragment into pSB1AT3
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[[Team:Newcastle/Labwork/11_September_2009 | Lab book]]
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|-
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|18/09/09
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|Sucessfully cloned the ''ara'' promoter/ operator fragment into pSB1AT3
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[[Team:Newcastle/Labwork/18_September_2009 | Lab book]]
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|-
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|24/09/09
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|Successfully cloned the ''sspB'' fragment into the ''ara'' + pSB1AT3 prepared backbone. We now have an arabinose inducible degradation controller!
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[[Team:Newcastle/Labwork/24_September_2009| Lab book]]
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|}
{{:Team:Newcastle/Footer}}
{{:Team:Newcastle/Footer}}
{{:Team:Newcastle/Right}}
{{:Team:Newcastle/Right}}

Latest revision as of 02:23, 22 October 2009


Stochastic Switch

Introduction

One of the most exciting aspects of our project is our synthetic stochastic switch. The switch regulates the decision to become a non-germinating metal container spore, or a spore that can go on to germinate as part of the normal life cycle. Whilst stochastic oscillators have been implemented before using transcriptional regulators, our switch makes use of an invertable DNA segment to ensure that the decision is heritable.

By differentially controlling the expression of the Hin invertase, we designed our switch to be tunable to achieve a biased heads or tails response, allowing a range of probabilities of orientation of the invertable segment to be achieved.

Newcastle r Switchv2.gif

Novelty in this sub-project

We designed a synthetic stochastic switch by using an invertible segment of DNA flanked by a pair of promoters. Depending on the orientation of the invertible sequence, coding sequences will be expressed which reflect the decision to be a metal container or not. We also tuned the natural stochasticity of the sporulation system towards greater sporulation rates by altering the rate of Spo0A phosphorylation.

Gfp concentrations. IPTG:[0-9000nM], Xylose=[0-9000nM], Arabinose=1000nM

BioBrick constructs

There are a number of bricks involved within the stochastic switch construct.

The stochastic brick construct uses the Hin invertase system in order to flip a region between Hix sites. The directionality of the promoter determines whether the switch is 'on' or 'off'. When the promoter is facing right it allows transcription of genes that control:

    • Prevention of germination
    • Upregulation of sporulation rate
    • Expression of the metal sponge (SmtA)
    • Decreased cadmium efflux
    • Upregulation of cadmium import


Importantly, Hin is differentially expressed depending on the levels of the two inducible promoters that flank the invertable segment on which it lies. This means the segment can be biased in a predictable and controllable fashion to favour one orientation or the other.


The following diagram shows our stochastic construct:

Team NewcastleStochastic switch.png

Team newc Stoch key.png

Prevention of germination

The prevention of germination is governed by another invertase switch. When the sequence faces right, a FimE protein is expressed which inverts a further promoter region. This promoter controls expression of the cwlD and sleB genes. If their promoter is in the correct orientation then the cell will be able to germinate and continue as a vegetative cell. However if their promoter has been flipped, the cell can not germinate following sporulation, and will be trapped as a metal containing spore.

Upregulation of sporulation rate

The upregulation of sporulation involves increasing KinA expression. kinA codes a kinase protein that phosphorylates the Spo0A protein to its active form. When the promoter region within our stochastic brick faces right, there will be increased KinA expression, and thus a greater sporulation rate.

Metal sponge and cadmium influx/efflux

Our stochastic switch determines whether the spores can germinate, or whether they are commited to be metal containers that cannot germinate again. We need this switch as we cannot totally interrupt the natural life cycle of the bacteria, since a proportion of cells have to go on to seed the next generation. Expression of the metallothionein fusion protein (cotC-gfp-smtA), cadmium import channel (mntH) and the cadmium efflux channel (cadA) is also governed by the direction of the stochastic promoter. When the direction of promoter faces right, the metallothionein fusion protein's expression will be triggered, ant will soak up the cadmium. While the import channel is upregulated, the efflux system's activity will be slowed down to increase the amountof cadmium inside the cell.

Stochastic Brick

We decided to get our stochastic construct synthesised, as trying to build the construct manually would be too time consuming. The following sequencher diagram shows the components of the construct we had synthesised.

Team newc Sequencher synth stoch.png

Testing construct

In order to test our construct we had to redesign using inducible promoters governing Hin invertase expression. We used the promoters pSpac and pxylA (Induced by IPTG and Xylose) to test our system. We include cut sites around these promoters in order to replace them with SigmaA promoters once the construct has been characterised.(See sequencher diagram above)

Degradation controller

In order to have another level of control over the orientation of the promoter within the flipping region we added a degradation tag to the Hin invertase protein. The following paper describes how proteins including modified ssrA tags can be located to the ClpXP protease by an Sspb protein. This means that inducible Sspb expression can requlate degradation levels of the tagged protein.

[http://www3.interscience.wiley.com/journal/121415079/abstract?CRETRY=1&SRETRY=0 Inducible protein degradation in Bacillus subtilis using heterologous peptide tags and adaptor proteins to target substrates to the protease ClpXP ]

We decided to put the Sspb protein under the control of an arabinose inducible promoter as the following diagram illustrates. We also included a region of the sac gene in our construct, so that the region will integrate into the Bacillus genome at a region other than amyE.

Team NewcIntegration Deg control.png


We added a modified version of ssrA degradation tag onto the C-terminus of the Hin protein. Expressed proteins are therefore degraded by ClpXP. However mutations on the ssrA tag weaken the recognition by ClpX, and the modified tags require the SspB adaptor protein to be recognized. When the SspB protein is expressed the proteins tagged with modified version of ssrA tag are targeted for degradation. Otherwise they remain stable.

In B. subtilis there is no sspB orthologue and SspB from E. coli works in B. subtilis. By regulating the levels of SspB by arabinose, we implemented an inducable protein degradation device.

Hin vs SspB according to the speed of degradation by ClpXP


The wild type E. coli ssrA tag is AANDENY-ALAA (SspB recognition site – ClpX recognition site). As suggested in the paper, we took one of the modified ssrA tags to use in our system.

AANDENY-SENY-ALGG (SspB recognition site – SENY +4 Linker - ClpX recognition site)

This tag works well in B. subtilis. However, degradation tags can affect the activity of proteins. Different degradation tags may effect the activity of different proteins. It has been shown that this tag effected the activity of ComA(1).

  1. Griffith, K. L., and A. D. Grossman. 2008. Inducible protein degradation in Bacillus subtilis using heterologous peptide tags and adaptor proteins to target substrates to the protease ClpXP. Mol. Microbiol. 70:1012-1025.


Stochastic Modelling Tools

Matlab can be used for stochastic modelling. The Glasgow team used Matlab to implement the Gillespie algorithm for incorporating noise among cells. They also used deterministic modelling using ODEs and compared their results. When the number of cells increase two approaches become similar since the noise is cancelled out.

Stocks 2 is another stochastic simulation tool which also uses Gillespie’s direct method and supports SBML.

We used computational modelling in Matlab to try to determine how to make our system tuneable.

Please see our modelling page for Matlab files on our stochastic switch model.

FimE switch

The FimE switch is a similar switch to the Hix system. However, it acts as a latch, meaning that once flipped the segmant will not flip back.

  1. [http://genomics.lbl.gov/Stuff/TimHam-BandB-online%20version.pdf fimE switch for DNA re-arrangement]

A Tightly Regulated Inducible Expression System Utilising the fim Inversion Recombination Switch.(E. Coli) Timothy S. Ham, Sung Kuk Lee, Jay D. Keasling,Adam P. Arkin,Received 21 December 2005; accepted 2 March 2006 Published online 13 March 2006 in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/bit.20916

We decided to use FimE to switch off or on the production of a protein of our choice, such as the genes involved in germination.

  1. [http://jb.asm.org/cgi/reprint/183/14/4190?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&fulltext=subtilis&searchid=1&FIRSTINDEX=880&resourcetype=HWFIG Control of the Arabinose Regulon in Bacillus subtilis by AraR In Vivo: Crucial Roles of Operators, Cooperativity, and DNA Looping]
  2. [http://ukpmc.ac.uk/articlerender.cgi?artid=310841 Binding of the Bacillus subtilis spoIVCA product to the recombination sites of the element interrupting the sigma K-encoding gene] =>...DNA rearrangement that depends on the spoIVCA gene product...

Bistability in Bacillus subtilis

Read this page to find more options for natural stochastic switches in Bacillus subtilis. Natural stochastic switches:Bistability in Bacillus subtilis

And to find out how we are tuning sporulation using our stochastic switch choice see the sporulation tuning page.

Lab strategies

To carry out our labwork we needed cloning strategies for all of our bricks and devices. Please see our cloning strategies page for details on how we cloned our devices.

Summary of lab work success:
Date: Achievement:
11/09/09 Successfully cloned the sspB degradation controller fragment into pSB1AT3

Lab book

18/09/09 Sucessfully cloned the ara promoter/ operator fragment into pSB1AT3

Lab book

24/09/09 Successfully cloned the sspB fragment into the ara + pSB1AT3 prepared backbone. We now have an arabinose inducible degradation controller!

Lab book




News

Events

Social Net

  • Newcastle iGEM Twitter
  • [http://www.facebook.com/home.php#/group.php?gid=131709337641 Newcastle on Facebook]
  • [http://www.youtube.com/user/newcastle2009igem Newcastle Youtube Channel]