Environmental fluctuations and their consequences for the evolution of phenotypic diversity

Autores
Fuentes, Miguel Angel; Ferrada, Evandro
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
An essential aspect of the current theory of adaptive speciation is the maintenance of phenotypic variation and the evolution of stationary stable phenotypic diversity, a phenomenon known as evolutionary branching. Theoretical and empirical evidence suggest that phenotypic variation can be maintained by favoring rare phenotypes, for example, through frequency-dependent selection. However, even when phenotypic variation is provided, the conditions leading to evolutionary branching are not universal. In order to lead to stable diversification, current models of adaptive speciation, such as the Lotka-Volterra competition model, must resort to strong assumptions that range from using unrealistic shape parameters for the competition and carrying capacity functions, modeling separately the generation of discontinuities in niche space, to increasing the dimensionality of phenotypic traits. Here, we introduce a stochastic version of the Lotka-Volterra competition model. We demonstrate that environmental fluctuations suffice to lead consistently to phenotypic diversification and evolutionary branching. Our observations build upon previous findings identifying a role for stochastic fluctuations on the evolution of phenotypic diversity, emphasize the difference between strong vs. weak assumptions in the stability of the LVC model, and suggest that the conditions for evolutionary branching are more relaxed than anticipated.
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Santa Fe Institute; Estados Unidos. Instituto de Investigaciones Filosóficas - Sadaf; Argentina. Universidad San Sebastián; Chile
Fil: Ferrada, Evandro. University of Washington; Estados Unidos
Materia
DIVERSITY GENERATION
ENVIRONMENTAL FLUCTUATIONS
EVOLUTIONARY BRANCHING
NON-LOCAL STOCHASTIC MODELS
SPECIATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86197
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Environmental fluctuations and their consequences for the evolution of phenotypic diversityFuentes, Miguel AngelFerrada, EvandroDIVERSITY GENERATIONENVIRONMENTAL FLUCTUATIONSEVOLUTIONARY BRANCHINGNON-LOCAL STOCHASTIC MODELSSPECIATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1An essential aspect of the current theory of adaptive speciation is the maintenance of phenotypic variation and the evolution of stationary stable phenotypic diversity, a phenomenon known as evolutionary branching. Theoretical and empirical evidence suggest that phenotypic variation can be maintained by favoring rare phenotypes, for example, through frequency-dependent selection. However, even when phenotypic variation is provided, the conditions leading to evolutionary branching are not universal. In order to lead to stable diversification, current models of adaptive speciation, such as the Lotka-Volterra competition model, must resort to strong assumptions that range from using unrealistic shape parameters for the competition and carrying capacity functions, modeling separately the generation of discontinuities in niche space, to increasing the dimensionality of phenotypic traits. Here, we introduce a stochastic version of the Lotka-Volterra competition model. We demonstrate that environmental fluctuations suffice to lead consistently to phenotypic diversification and evolutionary branching. Our observations build upon previous findings identifying a role for stochastic fluctuations on the evolution of phenotypic diversity, emphasize the difference between strong vs. weak assumptions in the stability of the LVC model, and suggest that the conditions for evolutionary branching are more relaxed than anticipated.Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Santa Fe Institute; Estados Unidos. Instituto de Investigaciones Filosóficas - Sadaf; Argentina. Universidad San Sebastián; ChileFil: Ferrada, Evandro. University of Washington; Estados UnidosFrontiers Media SA2017-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86197Fuentes, Miguel Angel; Ferrada, Evandro; Environmental fluctuations and their consequences for the evolution of phenotypic diversity; Frontiers Media SA; Frontiers in Physics; 5; 16; 5-2017; 1-72296-424XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fphy.2017.00016info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fphy.2017.00016info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:26Zoai:ri.conicet.gov.ar:11336/86197instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:33:26.592CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Environmental fluctuations and their consequences for the evolution of phenotypic diversity
title Environmental fluctuations and their consequences for the evolution of phenotypic diversity
spellingShingle Environmental fluctuations and their consequences for the evolution of phenotypic diversity
Fuentes, Miguel Angel
DIVERSITY GENERATION
ENVIRONMENTAL FLUCTUATIONS
EVOLUTIONARY BRANCHING
NON-LOCAL STOCHASTIC MODELS
SPECIATION
title_short Environmental fluctuations and their consequences for the evolution of phenotypic diversity
title_full Environmental fluctuations and their consequences for the evolution of phenotypic diversity
title_fullStr Environmental fluctuations and their consequences for the evolution of phenotypic diversity
title_full_unstemmed Environmental fluctuations and their consequences for the evolution of phenotypic diversity
title_sort Environmental fluctuations and their consequences for the evolution of phenotypic diversity
dc.creator.none.fl_str_mv Fuentes, Miguel Angel
Ferrada, Evandro
author Fuentes, Miguel Angel
author_facet Fuentes, Miguel Angel
Ferrada, Evandro
author_role author
author2 Ferrada, Evandro
author2_role author
dc.subject.none.fl_str_mv DIVERSITY GENERATION
ENVIRONMENTAL FLUCTUATIONS
EVOLUTIONARY BRANCHING
NON-LOCAL STOCHASTIC MODELS
SPECIATION
topic DIVERSITY GENERATION
ENVIRONMENTAL FLUCTUATIONS
EVOLUTIONARY BRANCHING
NON-LOCAL STOCHASTIC MODELS
SPECIATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv An essential aspect of the current theory of adaptive speciation is the maintenance of phenotypic variation and the evolution of stationary stable phenotypic diversity, a phenomenon known as evolutionary branching. Theoretical and empirical evidence suggest that phenotypic variation can be maintained by favoring rare phenotypes, for example, through frequency-dependent selection. However, even when phenotypic variation is provided, the conditions leading to evolutionary branching are not universal. In order to lead to stable diversification, current models of adaptive speciation, such as the Lotka-Volterra competition model, must resort to strong assumptions that range from using unrealistic shape parameters for the competition and carrying capacity functions, modeling separately the generation of discontinuities in niche space, to increasing the dimensionality of phenotypic traits. Here, we introduce a stochastic version of the Lotka-Volterra competition model. We demonstrate that environmental fluctuations suffice to lead consistently to phenotypic diversification and evolutionary branching. Our observations build upon previous findings identifying a role for stochastic fluctuations on the evolution of phenotypic diversity, emphasize the difference between strong vs. weak assumptions in the stability of the LVC model, and suggest that the conditions for evolutionary branching are more relaxed than anticipated.
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Santa Fe Institute; Estados Unidos. Instituto de Investigaciones Filosóficas - Sadaf; Argentina. Universidad San Sebastián; Chile
Fil: Ferrada, Evandro. University of Washington; Estados Unidos
description An essential aspect of the current theory of adaptive speciation is the maintenance of phenotypic variation and the evolution of stationary stable phenotypic diversity, a phenomenon known as evolutionary branching. Theoretical and empirical evidence suggest that phenotypic variation can be maintained by favoring rare phenotypes, for example, through frequency-dependent selection. However, even when phenotypic variation is provided, the conditions leading to evolutionary branching are not universal. In order to lead to stable diversification, current models of adaptive speciation, such as the Lotka-Volterra competition model, must resort to strong assumptions that range from using unrealistic shape parameters for the competition and carrying capacity functions, modeling separately the generation of discontinuities in niche space, to increasing the dimensionality of phenotypic traits. Here, we introduce a stochastic version of the Lotka-Volterra competition model. We demonstrate that environmental fluctuations suffice to lead consistently to phenotypic diversification and evolutionary branching. Our observations build upon previous findings identifying a role for stochastic fluctuations on the evolution of phenotypic diversity, emphasize the difference between strong vs. weak assumptions in the stability of the LVC model, and suggest that the conditions for evolutionary branching are more relaxed than anticipated.
publishDate 2017
dc.date.none.fl_str_mv 2017-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/86197
Fuentes, Miguel Angel; Ferrada, Evandro; Environmental fluctuations and their consequences for the evolution of phenotypic diversity; Frontiers Media SA; Frontiers in Physics; 5; 16; 5-2017; 1-7
2296-424X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86197
identifier_str_mv Fuentes, Miguel Angel; Ferrada, Evandro; Environmental fluctuations and their consequences for the evolution of phenotypic diversity; Frontiers Media SA; Frontiers in Physics; 5; 16; 5-2017; 1-7
2296-424X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fphy.2017.00016
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fphy.2017.00016
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media SA
publisher.none.fl_str_mv Frontiers Media SA
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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