It Doesn't Always Pay to be Fit: Success Landscapes

ORAL

Abstract

Landscapes play an important role in many areas of biology, which biological lives are deeply entangled with. Here we discuss a form of landscape in evolutionary biology which takes into account (1) initial growth rates, (2) mutation rates, (3) resource consumption by organisms, and (4) cyclic changes in the resources with time. The long term equilibrium number of surviving organisms as a function of these four parameters forms what we call a success landscape, a landscape we would claim is qualitatively different from fitness landscapes which commonly do not include mutations or resource consumption/changes in mapping genomes to the final number of survivors. Although our analysis is purely theoretical, we believe the results have possibly strong connections to how we might treat diseases such as cancer in the future with a deeper understanding of the interplay between resource degradation, mutation, and uncontrolled cell growth.

*his work was supported in part by the National Science Foundation, through the Center for the Physics of Biological Function (PHY-1734030)

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Publication: In Press, Journal of Biological Physics, DOI : 10.1007/s10867-021-09589-2
JOBP-D-21-00087R2

Presenters

  • Trung V Phan

    • Princeton University

Authors

  • Trung V Phan

    • Princeton University

  • Gao Wang

    • College of Physics, Chongqing University, Chongqing 401331, China
    • College of Physics, Chongqing University, Chongqing 400000, China

  • Tuan Do

    • Dept. of Mathematics, Princeton University, Princeton NJ 08544

  • Ioannis G Kevrekidis

    • Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

  • Sarah Amend

    • Johns Hopkins Medical Institute, Baltimore MD
    • The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, Maryland
    • Johns Hopkins Medical Institute

  • Emma Hammarlund

    • Lund Stem Cell Center and Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden
    • Lund University Cancer Centre, Lund, SE

  • Kenneth J Pienta

    • Johns Hopkins University

  • Joel Brown

    • Cancer Biology and Evolution Program and Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida
    • Moffitt Cancer Center, Tampa, FL

  • Liyu Liu

    • College of Physics, Chongqing University, Chongqing 400000, China