Laboratory of Computational and Quantitative Biology (LCQB)
UMR 7238 CNRS - Sorbonne Université
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Autocatalytic networks toward Darwinian evolution
Date:
Thursday, February 11, 2021 - 11:00
Speaker:
Philippe Nghe
Address:
https://zoom.us/j/97653700758?pwd=elVMUExaZ0dyMjk3Z1Y1QTBBM05YUT09
ID de réunion : 976 5370 0758
Code secret : i6tqV1
Affiliation:
Laboratory of BioChemistry, Ecole Supérieure de Physique Chimie Industrielles, Paris (France)
Abstract:
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.
Bibliography
[1] 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)
[2] 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).
Type:
Interdisciplinary Seminar
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