From 2014.igem.org

Revision as of 09:19, 5 September 2014

$~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \newcommand{\MyColi}{{\small Mighty\hspace{0.12cm}Coli}} \newcommand{\Stabi}{\small Stabi}$ $\newcommand{\EColi}{\small E.coli} \newcommand{\SCere}{\small S.cerevisae}\\[0cm] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \newcommand{\PI}{\small PI}$ $\newcommand{\Igo}{\Large\mathcal{I}} \newcommand{\Tgo}{\Large\mathcal{T}} \newcommand{\Ogo}{\Large\mathcal{O}} ~$

carousel slider

Home

Team Members Official Profile Attributions

Human Practice Introduction Brussels Game Festival Synbio Hours

Parts

Previous Years 2012 : InteGreator 2011 : Pindel 2010 : HydroColi 2009 : GluColi

Retrieved from "http://2014.igem.org/Team:ULB-Brussels/Modelling/Population-Dynamics"

• Recent changes
• What links here
• Related changes
• Special pages
• My preferences

• Printable version
• Permanent link
• Privacy policy
• Disclaimers

- Université Libre de Bruxelles - Population Dynamics Model A Population Dynamics Model can be fitted in our system. Theoretically, two approaches have been planned: $1.1)$ $By$ $Probabilities$ When some new plasmids are genetically introduced into the cytoplasm of E.Coli bacteria, this doesn't garantee that the future copies will contain it. Indeed, these plasmids can be lost after cell division or replication, so it's interesting to study a model based on the different possibilities of plasmid combinations in bacteria, like in the studies of mutations in animals. A typical example of a similar way is found if we study the mutations of the eyes or hair color in a family, by vertical genes transfer. In this case, there's a horizontal genes transfer too, originated by the plasmids. Figure m-2 : A first example of bacteria generations at same acceptation plasmid rate for a Toxin (T), an Antitoxin (A), the two (T&A) or no plasmid (-). The number on the right of the letter G indicates the generation number. We remark in [Fig m2] that we'll converge to finally obtain bacteria without Toxin or Antitoxin. In this case, four kinds of plasmids are ingered at same rate by bacteria. A Probabilistic Model is useful because easily undertsood, but necessits some assumptions to make sense. $1.2)$ $By$ $Logistic$ $Equation$ The Logistic Equation was initially introduced during the beginning of the XIXth Century, by the belgian mathematician P.F. Verhulst. Now, this equation is mainly used in Population Dynamics Models, especially in Biological Sciences. Mathematicians currently finish Ph.D thesis using this, and the analytical Lotka-Volterra model is directly associated with the Verhulst theory. Another interesting model is obtained from Euler-Lotka equation to the Leslie matrix coefficients. By identifying the caracteristic eigenvalues and eigenvectors analyse, we estimate the asymptotic stability (stable steady state) and the profile of the growth rate, as in [Fig.m-3]. An advantage is that this model is yet discrete, so by computing it, we don't loose info of the background theory. Figure m-2 : A first example of bacteria generations at same acceptation plasmid rate for a Toxin (T), an Antitoxin (A), the two (T&A) or no plasmid (-). The number on the right of the letter G indicates the generation number. The idea is to compare these two models, applicated in our experimental growth conditions and to fit the better, balanced with explicative biologic arguments to interprete the choice. Other models exist, f.e. by Monod equation, but this idea is probably not consistent with our global system.
< Overview TA System >