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SUMMARY:Contributed Talk 4: Metabolic Modelling in an Evolutionary Framewo
 rk Predicts Phenotypic Diversification of E.coli growing on Glucose as the
  Single Carbon Source - Grosskopf\, T (University of Warwick)
DTSTART:20140911T160500Z
DTEND:20140911T162000Z
UID:TALK54165@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Co-author: Orkun S. Soyer (University of Warwick) \n\nUndersta
 nding microbial communities is of great importance to monitor and manipula
 te complex ecosystems like anaerobic digesters\, wastewater removal system
 s or the human gut. A variety of modelling approaches have been presented 
 to simulate microbial communities\, however many imply an optimization act
 ing at the community level\, an assumption which is not well grounded in e
 volutionary theory. We here present an evolutionary algorithm that uses mu
 ltiple instances of flux balance analysis (FBA) models and density dependa
 nt selection as the fitness function\, leading to the coexistence of diffe
 rent phenotypes of an Escherichia coli core FBA model after 500 rounds of 
 simulated batch-transfers in a minimal medium with Glucose as the only car
 bon source. The solutions are selfish in the way that the only optimizatio
 n is to maximize individual growth rate\, yet they are affected by the met
 abolic layout of all other members in the community through a shared cultu
 re medium. We suggest that such self-optimizing models could be used to st
 udy complex microbial communities\, where competition\, cross-feeding\, sy
 ntrophy\, symbiosis and all forms of microbial interaction arise as emerge
 nt properties of the individual optimization of the member organisms.\n
LOCATION:Seminar Room 1\, Newton Institute
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