“Physics Meets Biology Webinar”
Autocatalytic networks toward Darwinian evolution by Dr. Philippe NGHE from CNRS-ESPCI ParisTech, France
Invited by Prof. Massimiliano ESPOSITO, group leader of the Complex Systems and Statistical Mechanics within the Physics and Materials Science Department.
Date: Wednesday, 27th January at 4 pm 2020
Hour: 4:00 to 5:00 pm
Invitation:2021_01_27_Philippe Nghe_Physics meets Bio online colloquium
How did evolution emerge in physical-chemical systems during the origin of life? Reproduction requires autocatalysis, but evolution further requires a diversity of autocatalytic systems. In a first study, we found universal stoichiometric criteria to recognize autocatalysis in reaction networks. This analysis unifies our view of self-reproduction in already known systems and indicates that there may exist many others. In a second study, we experimentally measured the dynamics of thousands of autocatalytic RNA reaction networks. The resulting landscape reveals trade-offs between the Darwinian properties of variation and selection in self-reproducing systems. Finally, I will discuss how Darwinian evolution may ultimately be implemented in RNA recombination networks.
 Ameta, S., Arsène, S., Foulon, S., Saudemont, B., Clifton, B. E., Griffiths, A. D., & Nghe, P. (2021). Darwinian properties and their trade-offs in autocatalytic RNA reaction networks, Nature Communications (2021, in press)
 Blokhuis, A., Lacoste, D., & Nghe, P., Universal motifs and the diversity of autocatalytic systems. Proceedings of the National Academy of Sciences, 117(41), 25230-25236 (2020)
Biography: Philippe Nghe did a PhD in soft matter fluids (ESPCI Paris) and a post-doc in Biophysics (AMOLF, ND). He is now associate professor at ESPCI Paris where his group works on single cell analysis, experimental evolution, and origin of life. He combines technological developments and theory to establish tools to measure and model biochemical reaction networks, with a particular emphasis on the mechanistic understanding of evolution.
Meeting link: Join this Webinar
Meeting number (access code): 175 194 9780