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    <h1 id="header">
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        <h1 id="header">uOttawa iGEM2009</h1>
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      <a href="/">uOttawa IGEM2009</a></h1>
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         <h2>The Project</h2>
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         <h2>Modeling</h2>
         <p>
         <p>
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          'With more and easier access to high-calorie
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Investigation of existing literature related to the Gluc-o-Gone project resulted in the discovery of several papers which directly describe that which the uOttawa iGEM team worked on completing. Thus, we present the most relevant modelling done to date which describes our system.  
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foods the worldwide prevalence of obesity has
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been on the rise in the past quarter century. In
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Canada alone, the average rate of obesity has
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doubled from 1979 to 2004, and approximately
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23% of Canadian adults are obese (As estimated
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by Statistics Canada). Obesity is typically
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associated with many adverse health conditions
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and puts an enormous strain on the public
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healthcare system. Our goal is to engineer a
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strain of Lacobacillus to express the enzymes
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required for the synthesis of cellulose from glucose
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in an attempt to reduce the caloric intake
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of obese individuals. Cellulose is a polymer of
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linked D-glucose units that cannot be digested
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by humans. Lactobacillus is a strain of bacteria,
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which is commonly used to make yogurt,
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cheese, beer and other fermented foods, and
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is in fact part of the natural human gut fl ora.
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The idea would be to have an obese individual
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ingest yogurt containing our engineered strain
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of bacteria as a probiotic. That way after they
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have consumed their meal, a portion of the
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glucose from the meal would be converted into
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cellulose in the intestines, effectively reducing
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their caloric intake.
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        </p>
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        <p class="info">
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          |          <a href="#">March 26th</a>
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        </p>
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        <h2>Lorem ipsum</h2>
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        <p>
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          Li Europan lingues es membres del sam familie. Lor separat existentie es un myth. Por scientie, musica, sport etc, li tot Europa usa li sam vocabularium. Li lingues differe solmen in li grammatica, li pronunciation e li plu commun vocabules. Omnicos directe al desirabilita; de un nov lingua franca: on refusa continuar payar custosi traductores. It solmen va esser necessi far uniform grammatica, pronunciation e plu sommun paroles.
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        </p>
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        <p>
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          Ma quande lingues coalesce, li grammatica del resultant lingue es plu simplic e regulari quam ti del coalescent lingues. Li nov lingua franca va esser plu simplic e regulari quam li existent Europan lingues. It va esser tam simplic quam Occidental: in fact, it va esser Occidental. A un Angleso it va semblar un simplificat Angles, quam un skeptic Cambridge amico dit me que Occidental es.
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        </p>
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        <p class="info">
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          |          <a href="#">March 26th</a>
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        <h2>Lorem ipsum</h2>
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          Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi.
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        <p>
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          Epsum factorial non deposit quid pro quo hic escorol. Olypian quarrels et gorilla congolium sic ad nauseum. Souvlaki ignitus carborundum e pluribus unum. Defacto lingo est igpay atinlay. Marquee selectus non provisio incongruous feline nolo contendre. Gratuitous octopus niacin, sodium glutimate. Quote meon an estimate et non interruptus stadium. Sic tempus fugit esperanto hiccup estrogen. Glorious baklava ex librus hup hey ad infinitum. Non sequitur condominium facile et geranium incognito. Epsum factorial non deposit quid pro quo hic escorol. Marquee selectus non provisio incongruous feline nolo contendre Olypian quarrels et gorilla congolium sic ad nauseum. Souvlaki ignitus carborundum e pluribus unum.
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        </p>
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        <p class="info">
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          |<a href="#">March 26th</a>
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         </p>
         </p>
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 +
 +
      <h2>Background</h2>
 +
          <p>Two  different regimes for bacterial growth in a reactor setting are typically  investigated; chemostat and plug-flow ([1]-[5]). <br />
 +
          In  the chemostat regime, a feed stream feeds a reactor vessel which is assumed to  be well-mixed and an effluent stream drains the vessel at a rate which keeps  the volume constant [7]. This model type is highly effective for bioreactors in  which an axial or radial flow impeller is employed, assuring well-mixed,  homogenous conditions and it is therefore well-studied. Typically, chemostat  models for two competing bacterial strains growth-limited conditions result in  washout of one of the species [1]. However, chemostat models are not the most  effective for modelling bacterial growth in the gut, as it is neither  well-mixed nor of constant volume, which are the two key properties on which  chemostat modelling is based. <br />
 +
          In  the plug-flow regime, it is assumed that the velocity profile of the fluid  moving through an infinitesimal cylindrical volume (as in a pipe) is constant  over the cross-sectional area. This is not precisely true, as the velocity  profile of a fluid is typically parabolic under laminar conditions and damped  parabolic under turbulent conditions [7]. Bacterial growth models in plug-flow  regimes are of importance as they can predict the ability of a bacterial strain  to colonize and foul pipes connecting bioreactors. </p>
 +
 +
<h2>Our System</h2>
 +
       
 +
        <p> Flow  in the gut is neither constant nor laminar in nature; typical human diets do  not allow for constant inflow or outflow streams, and peristalsis in the  intestines creates turbulent flow due to continual expansion and contraction.  However, the best model for Gluc-o-Gone is that of two-strain bacterial  competition and wall-growth in a plug-flow regime. In this case, the intestines  are approximated by a three dimensional cylinder filled with nutrient-rich  liquid. Bacteria are assumed to be either planktonic or wall-attached and the  biofilm formed by the bacteria is assumed to have zero thickness so as not to  disturb flow. This reduces the complexities posed by the turbulent, batch-like  nature of a real intestine that would render it nearly impossible to model. <br />
 +
          The  model that best fits this scenario is given by Jones and Smith.In their model, Jones and Smith examine  the effects of adding an invading species into a plug flow reactor that is  already colonized by one strain of bacteria under growth-limiting conditions. <br />
 +
          They  assume limited wall space, which may not apply to our system in particular, as  the actual area occupied by gut bacteria is not well known (citation). However,  including this factor sets an upper bound to wall growth in total and therefore  should not affect the outcome of applying the model to our system, as long as  this parameter is correctly chosen. It was also assumed that both bacterial  strains would be competing for the same nutrients, which is valid for our  system, the nutrient in question being glucose. <br />
 +
          Given  growth rates based on Monod functions and sloughing-off rates based on wall  space occupied, Jones and Smith developed a system of six parabolic partial  differential equations, which give a solution in which:<br />
 +
          <br />
 +
          Two strains, differing only in their nutrient  uptake characteristics, are seen to establish a stable mixed culture steady  state in which the dominant strain is the sole occupant of an upstream band of  the reactor while the subordinate strain is essentially the sole occupant of an  adjoining band near the upstream end, below which the nutrient density is too  low to support either organism.<br />
 +
          <br />
 +
          This  solution is, of course, desirable for Gluc-o-Gone, as it would allow for the  presence of our strain in the gut, with minimal interference with the  already-present bacterial strains. However, it is very important to note that  their conclusion is based on differences only in the ability of either strain  to take up nutrients and on <em>E. coli </em>motility  in the gut. <br />
 +
          It  is presumed that <em>L. plantarum</em> differsfrom <em>E. coli</em> in nearly all the parameters used to generate this model.  To the best of our knowledge, no model to date has been used to describe the  interactions between organisms when this is the case. Therefore, in order to  effectively model Gluc-o-Gone, further experimentation is required to generate  the necessary parameters. <br />
 +
          Finally,  as discussed by Stephanopoulos and Lapidus, plasmid-bearing bacterial strains  are at a disadvantage in a chemostat-based model of bacterial competition, when  compared to strains without plasmids. We predict that our strain would be at a  higher disadvantage than discussed in this model, as the cellulose synthase  genes directly reduce the metabolism of the <em>plantarum </em>strains by removing sugar that would normally be available to it. </p>
 +
<h2>Reference</h2>       
 +
<p>[1] Stemmons, E. D. and Smith, H. L. <em>Competition in a chemostat with wall attachment. </em>SIAM  Journal of Applied Math. 61 (2000) pp. 567-595</p>
 +
        <p>[2] Jones, D. A., Smith, H. <em>Microbial competition for nutrient and wall  sites</em>. SIAM  Journal of Applied Math. 60 (200) pp. 1576-1600</p>
 +
        <p>[3] Jones, D. A., Smith, H. <em>et al. Bacterial wall attachment in a flow  reactor</em>. SIAM  Journal of Applied Math. 62 (2002) pp.1728-1771</p>
 +
        <p>[4] Ballyk, M. M., Jones, D. A., and Smith,  H. <em>Microbial Competition in Reactors with Wall  Attachment: A Mathematical Comparison of Chemostat and Plug Flow Models. </em>Microbial Ecology. 41 (2001) pp.  210-221</p>
 +
        <p>[5] Boldin,  B. <em>Introducing a population into a steady  community: the critical case, the center manifold and the direction of  bifurcation. </em>SIAM  Journal of Applied Math. 66 (2006) 1424-1453</p>
 +
        <p>[6] Strandber, P. E. <em>The Chemostat</em>. Univeristy of Linkoping Press. (2003)</p>
 +
 +
<p><a href="pdf/Modelling/Microbial Competition in Reactors with Wall Attachment A Mathematical comparison of Chemostat and Plug Flow Models.pdf">Microbial Competition in Reactors with Wall Attachment A Mathematical comparison of Chemostat and Plug Flow Models</a>          </p>
 +
    <p>  <a href="http://www.ipm-int.org/boxmode/pdf/Modelling/MICROBIAL COMPETITION FOR NUTRIENT AND WALL SITES.pdf">MICROBIAL COMPETITION FOR NUTRIENT AND WALL SITES</a></p>
 +
    <p>  <a href="http://www.ipm-int.org/boxmode/pdf/Modelling/INTRODUCING A POPULATION INTO A STEADY COMMUNITY.pdf">INTRODUCING A POPULATION INTO A STEADY COMMUNITY</a></p>
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      <p>  <a href="http://www.ipm-int.org/boxmode/pdf/Modelling/Competition in a Chemostat with Wall Attachment.pdf">Competition in a Chemostat with Wall Attachment</a></p>
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      <p> <a href="http://www.ipm-int.org/boxmode/pdf/Modelling/Chemostat-dynamics-of-plasmid-bearing,-plasmid-free-mixed-recombinant-cultures_1988_Chemical-Engineering-Science.pdf">Chemostat-dynamics-of-plasmid-bearing,-plasmid-free-mixed-recombinant-cultures_1988_Chemical-Engineering-Science</a></p>
 +
        <p><a href="http://www.ipm-int.org/boxmode/pdf/Modelling/BACTERIAL WALL ATTACHMENT IN A FLOW REACTOR.pdf">BACTERIAL WALL ATTACHMENT IN A FLOW REACTOR</a></p>
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        <h3>Previous Posts</h3>
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      <h3>uOttawa iGEM2009</h3>
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           <a href="http://www.ipm-int.org/boxmode/pdf/Ethics.pdf" target="_parent">ETHICS</a></li>
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           <a href="http://www.ipm-int.org/boxmode/pdf/Security.pdf">SECURITY</a></li>
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         <h3>Links</h3>
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<h3>Health</h3>
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<li>
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          <a href="http://www.ipm-int.org/boxmode/pdf/Glucose.pdf">Glucose and cellulose digestion</a></li>
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          <li>  <a href="http://www.ipm-int.org/boxmode/pdf/Probiotics in the Food Industry.pdf" target="_parent">Probiotics</a></li>
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<li>  <a href="http://www.ipm-int.org/boxmode/pdf/Obesity.pdf">Obesity</a></li>
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          <li>  <a href="http://www.ipm-int.org/boxmode/pdf/Acetobacter_xylinum.pdf">Acetobacter xylinum</a></li>
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          <li> <a href="http://www.ipm-int.org/boxmode/pdf/lactobacillus_plantarum.pdf">Lactobacillus</a></li>
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  <h3>Sponsors</h3>
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           <a href="http://www.uottawa.ca">uottawa</a></li>
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           <a href="http://www.medicine.uottawa.ca/">Faculty of medicine</a></li>
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           <a href="http://www.engineering.uottawa.ca/">Faculty of engineering</a></li>
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           <a href="http://www.uottawa.ca/research/">VP research</a></li>
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          <a href="http://www.epocal.com/">Epocal</a></li>
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          <a href="http://www.medicine.uottawa.ca/crem/eng/">CREM-CRME</a></li>
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          <a href="http://www.gehealthcare.com/caen/">GE healthcare</a></li>
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<li>team bonding at the sushi restaurant</li>
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<li>world congress on industrial biotechnology, Montreal</li>
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<li>the waterloo get together with other ontario teams</li>         
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<li>tech museum on the 5th of May</li>
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           <li>Day one, where do we start</li>
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Latest revision as of 02:45, 22 October 2009

uOttawa IGEM2009

uOttawa iGEM2009

Modeling

Investigation of existing literature related to the Gluc-o-Gone project resulted in the discovery of several papers which directly describe that which the uOttawa iGEM team worked on completing. Thus, we present the most relevant modelling done to date which describes our system.

Background

Two different regimes for bacterial growth in a reactor setting are typically investigated; chemostat and plug-flow ([1]-[5]).
In the chemostat regime, a feed stream feeds a reactor vessel which is assumed to be well-mixed and an effluent stream drains the vessel at a rate which keeps the volume constant [7]. This model type is highly effective for bioreactors in which an axial or radial flow impeller is employed, assuring well-mixed, homogenous conditions and it is therefore well-studied. Typically, chemostat models for two competing bacterial strains growth-limited conditions result in washout of one of the species [1]. However, chemostat models are not the most effective for modelling bacterial growth in the gut, as it is neither well-mixed nor of constant volume, which are the two key properties on which chemostat modelling is based.
In the plug-flow regime, it is assumed that the velocity profile of the fluid moving through an infinitesimal cylindrical volume (as in a pipe) is constant over the cross-sectional area. This is not precisely true, as the velocity profile of a fluid is typically parabolic under laminar conditions and damped parabolic under turbulent conditions [7]. Bacterial growth models in plug-flow regimes are of importance as they can predict the ability of a bacterial strain to colonize and foul pipes connecting bioreactors.

Our System

Flow in the gut is neither constant nor laminar in nature; typical human diets do not allow for constant inflow or outflow streams, and peristalsis in the intestines creates turbulent flow due to continual expansion and contraction. However, the best model for Gluc-o-Gone is that of two-strain bacterial competition and wall-growth in a plug-flow regime. In this case, the intestines are approximated by a three dimensional cylinder filled with nutrient-rich liquid. Bacteria are assumed to be either planktonic or wall-attached and the biofilm formed by the bacteria is assumed to have zero thickness so as not to disturb flow. This reduces the complexities posed by the turbulent, batch-like nature of a real intestine that would render it nearly impossible to model.
The model that best fits this scenario is given by Jones and Smith.In their model, Jones and Smith examine the effects of adding an invading species into a plug flow reactor that is already colonized by one strain of bacteria under growth-limiting conditions.
They assume limited wall space, which may not apply to our system in particular, as the actual area occupied by gut bacteria is not well known (citation). However, including this factor sets an upper bound to wall growth in total and therefore should not affect the outcome of applying the model to our system, as long as this parameter is correctly chosen. It was also assumed that both bacterial strains would be competing for the same nutrients, which is valid for our system, the nutrient in question being glucose.
Given growth rates based on Monod functions and sloughing-off rates based on wall space occupied, Jones and Smith developed a system of six parabolic partial differential equations, which give a solution in which:

Two strains, differing only in their nutrient uptake characteristics, are seen to establish a stable mixed culture steady state in which the dominant strain is the sole occupant of an upstream band of the reactor while the subordinate strain is essentially the sole occupant of an adjoining band near the upstream end, below which the nutrient density is too low to support either organism.

This solution is, of course, desirable for Gluc-o-Gone, as it would allow for the presence of our strain in the gut, with minimal interference with the already-present bacterial strains. However, it is very important to note that their conclusion is based on differences only in the ability of either strain to take up nutrients and on E. coli motility in the gut.
It is presumed that L. plantarum differsfrom E. coli in nearly all the parameters used to generate this model. To the best of our knowledge, no model to date has been used to describe the interactions between organisms when this is the case. Therefore, in order to effectively model Gluc-o-Gone, further experimentation is required to generate the necessary parameters.
Finally, as discussed by Stephanopoulos and Lapidus, plasmid-bearing bacterial strains are at a disadvantage in a chemostat-based model of bacterial competition, when compared to strains without plasmids. We predict that our strain would be at a higher disadvantage than discussed in this model, as the cellulose synthase genes directly reduce the metabolism of the plantarum strains by removing sugar that would normally be available to it.

Reference

[1] Stemmons, E. D. and Smith, H. L. Competition in a chemostat with wall attachment. SIAM Journal of Applied Math. 61 (2000) pp. 567-595

[2] Jones, D. A., Smith, H. Microbial competition for nutrient and wall sites. SIAM Journal of Applied Math. 60 (200) pp. 1576-1600

[3] Jones, D. A., Smith, H. et al. Bacterial wall attachment in a flow reactor. SIAM Journal of Applied Math. 62 (2002) pp.1728-1771

[4] Ballyk, M. M., Jones, D. A., and Smith, H. Microbial Competition in Reactors with Wall Attachment: A Mathematical Comparison of Chemostat and Plug Flow Models. Microbial Ecology. 41 (2001) pp. 210-221

[5] Boldin, B. Introducing a population into a steady community: the critical case, the center manifold and the direction of bifurcation. SIAM Journal of Applied Math. 66 (2006) 1424-1453

[6] Strandber, P. E. The Chemostat. Univeristy of Linkoping Press. (2003)

Microbial Competition in Reactors with Wall Attachment A Mathematical comparison of Chemostat and Plug Flow Models

MICROBIAL COMPETITION FOR NUTRIENT AND WALL SITES

INTRODUCING A POPULATION INTO A STEADY COMMUNITY

Competition in a Chemostat with Wall Attachment

Chemostat-dynamics-of-plasmid-bearing,-plasmid-free-mixed-recombinant-cultures_1988_Chemical-Engineering-Science

BACTERIAL WALL ATTACHMENT IN A FLOW REACTOR