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Stochastic dynamics for adaptation and evolution of microorganisms

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Authors : Méléard, Sylvie (Author of the conference)
CIRM (Publisher )

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Abstract : Understanding the adaptation and evolution of populations is a huge challenge, in particular for microorganisms since it plays a main role in the virulence evolution or in bacterial antibiotics resistances. We propose a general stochastic model of population dynamics with clonal reproduction and mutations. Moreover the individuals compete for resources and exchange genes. We show that the horizontal gene transfer can have a major impact on the distribution of the successive mutational fixations, leading to dramatically different behaviors, from expected evolution scenarios to evolutionary suicide, including cyclic behaviours. We present different approaches to capture mathematically these scenarii.

Keywords : horizontal gene transfer; bacterial conjugation; stochastic individual-based models; long time behavior; large population approximation; eco-evolutionary behavior

MSC Codes :
60J80 - Branching processes (Galton-Watson, birth-and-death, etc.)
60K35 - Interacting random processes; statistical mechanics type models; percolation theory
92D15 - Problems related to evolution

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 10/05/2023
    Conference Date : 25/04/2023
    Subseries : Research talks
    arXiv category : Probability ; Populations and Evolution
    Mathematical Area(s) : Mathematics in Science & Technology ; Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 00:56:17
    Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
    Download : https://videos.cirm-math.fr/2023-04-25_Meleard.mp4

Information on the Event

Event Title : Mathematical Population Dynamics, Ecology and Evolution 2023 / Mathématiques pour la Dynamique des populations, l'Ecologie et l'Evolution
Event Organizers : Petrovskii, Sergei ; Poggiale, Jean-Christophe ; Touzeau, Suzanne
Dates : 24/04/2023 - 28/04/2023
Event Year : 2023
Event URL : https://conferences.cirm-math.fr/2769.html

Citation Data

DOI : 10.24350/CIRM.V.20039703
Cite this video as: Méléard, Sylvie (2023). Stochastic dynamics for adaptation and evolution of microorganisms. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.20039703
URI : http://dx.doi.org/10.24350/CIRM.V.20039703

See Also

Bibliography

  • BILLIARD, Sylvain, COLLET, Pierre, FERRIÈRE, Régis, et al. Stochastic dynamics for adaptation and evolution of microorganisms. arXiv preprint arXiv:1610.00983, 2016. - https://arxiv.org/abs/1610.00983



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