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  Competing metabolic strategies in a multilevel selection model

Amado, A., Fernández, L., Huang, W., Ferreira, F. F., & Campos, P. R. (2016). Competing metabolic strategies in a multilevel selection model. Royal Society Open Science, 3: 160544. doi:10.1098/rsos.160544.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-3ADE-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-1B61-3
Genre: Journal Article

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 Creators:
Amado, André, Author
Fernández, Lenin, Author
Huang, Weini1, Author              
Ferreira, Fernando F., Author
Campos, Paulo R.A., Author
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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Free keywords: metabolic pathways; evolutionary game theory; resource-based model
 Abstract: The evolutionary mechanisms of energy efficiency have been addressed. One important question is to understand how the optimized usage of energy can be selected in an evolutionary process, especially when the immediate advantage of gathering efficient individuals in an energetic context is not clear. We propose a model of two competing metabolic strategies differing in their resource usage, an efficient strain which converts resource into energy at high efficiency but displays a low rate of resource consumption, and an inefficient strain which consumes resource at a high rate but at low yield. We explore the dynamics in both well-mixed and structured populations. The selection for optimized energy usage is measured by the likelihood that an efficient strain can invade a population of inefficient strains. It is found that the parameter space at which the efficient strain can thrive in structured populations is always broader than observed in well-mixed populations. © 2016 The Authors.

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Language(s): eng - English
 Dates: 2016-07-252016-10-182016
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1098/rsos.160544
BibTex Citekey: Amado2016
 Degree: -

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Title: Royal Society Open Science
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Royal Society
Pages: - Volume / Issue: 3 Sequence Number: 160544 Start / End Page: - Identifier: -