dc.contributor.author | Amado, A | en_US |
dc.contributor.author | Fernández, L | en_US |
dc.contributor.author | Huang, W | en_US |
dc.contributor.author | Ferreira, FF | en_US |
dc.contributor.author | Campos, PRA | en_US |
dc.date.accessioned | 2018-02-13T10:40:07Z | |
dc.date.available | 2016-10-18 | en_US |
dc.date.issued | 2016-11 | en_US |
dc.date.submitted | 2018-01-23T13:53:01.689Z | |
dc.identifier.issn | 2054-5703 | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/32287 | |
dc.description.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. | en_US |
dc.description.sponsorship | A.A. has a fellowship from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). L.F. has a fellowship from the Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco (FACEPE). W.H. gratefully acknowledges funding from the Max Planck Society. F.F.F. is supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP). P.R.A.C. is partially supported by the Brazilian research agency CNPq and acknowledges financial support from the Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco (FACEPE) under project no. APQ-0464-1.05/15. | en_US |
dc.format.extent | 160544 - ? | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | R Soc Open Sci | en_US |
dc.rights | Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. | |
dc.subject | evolutionary game theory | en_US |
dc.subject | metabolic pathways | en_US |
dc.subject | resource-based model | en_US |
dc.title | Competing metabolic strategies in a multilevel selection model. | en_US |
dc.type | Article | |
dc.rights.holder | © 2016 The Authors. | |
dc.identifier.doi | 10.1098/rsos.160544 | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/28018642 | en_US |
pubs.issue | 11 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published online | en_US |
pubs.volume | 3 | en_US |
dcterms.dateAccepted | 2016-10-18 | en_US |