Files and links (1)
Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Hysteresis can grant fitness in stochastically varying environment
PloS one, v 9(7), pp e103241-e103241
2014
PMID: 25068284
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Although the existence of multiple stable phenotypes of living organisms enables random switching between phenotypes as well as non-random history dependent switching called hysteresis, only random switching has been considered in prior experimental and theoretical models of adaptation to variable environments. This work considers the possibility that hysteresis may also evolve together with random phenotype switching to maximize population growth. In addition to allowing the possibility that switching rates between different phenotypes may depend not only on a continuous environmental input variable, but also on the phenotype itself, the present work considers an opportunity cost of the switching events. This opportunity cost arises as a result of a lag phase experimentally observed after phenotype switching and stochastic behavior of the environmental input. It is shown that stochastic environmental variation results in maximal asymptotic growth rate when organisms display hysteresis for sufficiently slowly varying environmental input. At the same time, sinusoidal input does not cause evolution of memory suggesting that the connection between the lag phase, stochastic environmental variation and evolution of hysteresis is a result of a stochastic resonance type phenomenon.
Metrics
Details
- Title
- Hysteresis can grant fitness in stochastically varying environment
- Creators
- Gary Friedman - Drexel UniversityStephen McCarthy - University College CorkDmitrii Rachinskii - The University of Texas at Dallas
- Publication Details
- PloS one, v 9(7), pp e103241-e103241
- Publisher
- Public LIbrary of Science (PLOS)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000339993700050
- Scopus ID
- 2-s2.0-84904861774
- Other Identifier
- 991019196444704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Biochemistry & Molecular Biology