Mathematical models in ecology and evolution

Collection Mathematical models in ecology and evolution

Organizer(s) Vincent Calvez, Florence Débarre, Jimmy Garnier and Amandine Véber
Date(s) 3/21/22 - 3/25/22
linked URL
00:00:00 / 00:00:00
23 25

Effects of epistasis and recombination between vaccine-escape and virulence alleles on the dynamics go pathogen adaptation

By David MacLeod

Joint work with Nancy Obeng, Michael Sieber, Hinrich Schulenburg and Arne Traulsen.

Microbial communities extend the host functional repertoire, thus making the host and its associated microbes a functional unit. We are only beginning to decipher how host and microbe fitnesses are intertwined : while it is now clear that the microbiota has a vast potential to affect the host physiology, less focus has been put to the microbial perspective, i.e. to understand what benefit or cost can microbes retrieve from their interaction with their host. In contrast to the common hypotheses of strong and continued coevolution proposed to explain the emergence of such elaborate symbioses, we focus here on the steps that can lead a microbial population to transition from a free-living life-style to an association with a host. In particular, we aim at understanding what selection pressures apply to microbes following a biphasic life cycle, in which they can regularly transit in and outside a host. We study three simple models of such biphasic life cycles. In the first model, we study a homogeneous microbial population transiting between a host and its environment and perform a sensitivity analysis to show the existence of two di˙erent regimes: one where the e˙ect of migration from the environment to the host dominates, and a second where the within-host replication rate matters most. The second model is an SI-inspired com-partmental model, which accounts for the habitats' dynamics. We show that microbial propagation across habitats depends on the product of the transmissibilities, which we propose as a new holistic measure of microbial fitness - bearing similitudes with the R0 of epidemiology. In the third model, we combine microbial population and habitats dynamics and derive predictions that are consistent with experimental observations of an increased ability to form biofilms in bacteria evolved in biphasic conditions with C. elegans.

Information about the video

  • Date of recording 3/25/22
  • Date of publication 6/24/22
  • Institution IHP
  • Language English
  • Audience Researchers
  • Format MP4

Last related questions on MathOverflow

You have to connect your account with mathoverflow to add question

Ask a question on MathOverflow


  • Bookmark videos
  • Add videos to see later &
    keep your browsing history
  • Comment with the scientific
  • Get notification updates
    for your favorite subjects
Give feedback