Evolution of microbial growth traits under serial dilution

ORAL

Abstract

Selection of mutants in a microbial population depends on multiple cellular traits. In serial-dilution evolution experiments, three key traits are the lag time when transitioning from starvation to growth, the exponential growth rate, and the yield (number of cells per unit resource). Here we investigate how these traits evolve in laboratory evolution experiments using a minimal model of population dynamics, where the only interaction between cells is competition for a single limiting resource. We find that the fixation probability of a beneficial mutation depends on a linear combination of its growth rate and lag time relative to its immediate ancestor, even under clonal interference. The relative selective pressure on growth rate and lag time is set by the dilution factor; a larger dilution factor favors the adaptation of growth rate over the adaptation of lag time. The model shows that yield, however, is under no direct selection.

*MM was supported by an F32 fellowship from the US 515 National Institutes of Health (GM116217) and an Ambizione grant from the Swiss National Science Foundation (PZ00P3 180147). AA thanks support from NSF 518 CAREER 1752024 and the Harvard Deans Competitive 519 Fund.

Presenters

  • Jie Lin

    • Harvard University

Authors

  • Jie Lin

    • Harvard University
  • Michael Manhart

    • ETH Zurich
    • Institute of Integrative Biology, ETH Zurich
  • Ariel Amir

    • SEAS, Harvard University
    • Harvard University