Your browser doesn't support javascript.
loading
It doesn't always pay to be fit: success landscapes.
Phan, Trung V; Wang, Gao; Do, Tuan K; Kevrekidis, Ioannis G; Amend, Sarah; Hammarlund, Emma; Pienta, Ken; Brown, Joel; Liu, Liyu; Austin, Robert H.
Afiliação
  • Phan TV; Department of Physics, Princeton University, Princeton, 08544, NJ, USA. trung.phan@yale.edu.
  • Wang G; Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, 06520, CT, USA. trung.phan@yale.edu.
  • Do TK; Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing, 400000, China.
  • Kevrekidis IG; Department of Mathematics, Princeton University, Princeton, 08544, NJ, USA.
  • Amend S; Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, 21218, MD, USA.
  • Hammarlund E; The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Pienta K; Lund Stem Cell Center and Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden.
  • Brown J; The Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
  • Liu L; Cancer Biology and Evolution Program and Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
  • Austin RH; Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing, 400000, China.
J Biol Phys ; 47(4): 387-400, 2021 12.
Article em En | MEDLINE | ID: mdl-34709534
ABSTRACT
Landscapes play an important role in many areas of biology, in which biological lives are deeply entangled. 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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica / Modelos Genéticos Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica / Modelos Genéticos Idioma: En Ano de publicação: 2021 Tipo de documento: Article