Concurrent growth of phenotypic features: A phenomenological universalities approach

Autores
Barberis, Lucas Miguel; Condat, Carlos; Gliozzi, A. S.; Delsanto, P. P.
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Different physical features of an organism are often measured concurrently, because their correlations can be used as predictors of longevity, future health, or adaptability to an ecological niche. Since, in general, we do not know a priori if the temporal variations in the measured quantities are causally related, it may be useful to have a method that could help us to identify possible correlations and to obtain parameters that may vary from population to population. In this paper we develop a procedure that may detect underlying relationships. We do this by generalizing the recently introduced concept of phenomenological universalities to the complex field. In this generalization, allometric growth is described by a complex function, whose real and imaginary parts represent two phenotypic traits of the same organism. As particular solutions of the resulting problem, we obtain generalizations of the Gompertz and the von Bertalanffy-West growth equations. We then apply the procedure to two biological systems in order to show how to determine the existence of mutual interference between trait variations.
Fil: Barberis, Lucas Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Condat, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Gliozzi, A. S.. Politecnico Di Torino; Italia
Fil: Delsanto, P. P.. Politecnico Di Torino; Italia
Materia
ALLOMETRY
GOMPERTZ
GROWTH
ONTOGENESIS
PHENOMENOLOGICAL UNIVERSALITIES
PHENOTYPES
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:11336/190230
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Concurrent growth of phenotypic features: A phenomenological universalities approachBarberis, Lucas MiguelCondat, CarlosGliozzi, A. S.Delsanto, P. P.ALLOMETRYGOMPERTZGROWTHONTOGENESISPHENOMENOLOGICAL UNIVERSALITIESPHENOTYPEShttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Different physical features of an organism are often measured concurrently, because their correlations can be used as predictors of longevity, future health, or adaptability to an ecological niche. Since, in general, we do not know a priori if the temporal variations in the measured quantities are causally related, it may be useful to have a method that could help us to identify possible correlations and to obtain parameters that may vary from population to population. In this paper we develop a procedure that may detect underlying relationships. We do this by generalizing the recently introduced concept of phenomenological universalities to the complex field. In this generalization, allometric growth is described by a complex function, whose real and imaginary parts represent two phenotypic traits of the same organism. As particular solutions of the resulting problem, we obtain generalizations of the Gompertz and the von Bertalanffy-West growth equations. We then apply the procedure to two biological systems in order to show how to determine the existence of mutual interference between trait variations.Fil: Barberis, Lucas Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Condat, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Gliozzi, A. S.. Politecnico Di Torino; ItaliaFil: Delsanto, P. P.. Politecnico Di Torino; ItaliaAcademic Press Ltd - Elsevier Science Ltd2010-05-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/190230Barberis, Lucas Miguel; Condat, Carlos; Gliozzi, A. S.; Delsanto, P. P.; Concurrent growth of phenotypic features: A phenomenological universalities approach; Academic Press Ltd - Elsevier Science Ltd; Journal of Theoretical Biology; 264; 1; 7-5-2010; 123-1290022-5193CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jtbi.2009.12.024info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022519309005979info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:51:19Zoai:ri.conicet.gov.ar:11336/190230instacron: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 09:51:19.254CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Concurrent growth of phenotypic features: A phenomenological universalities approach
title Concurrent growth of phenotypic features: A phenomenological universalities approach
spellingShingle Concurrent growth of phenotypic features: A phenomenological universalities approach
Barberis, Lucas Miguel
ALLOMETRY
GOMPERTZ
GROWTH
ONTOGENESIS
PHENOMENOLOGICAL UNIVERSALITIES
PHENOTYPES
title_short Concurrent growth of phenotypic features: A phenomenological universalities approach
title_full Concurrent growth of phenotypic features: A phenomenological universalities approach
title_fullStr Concurrent growth of phenotypic features: A phenomenological universalities approach
title_full_unstemmed Concurrent growth of phenotypic features: A phenomenological universalities approach
title_sort Concurrent growth of phenotypic features: A phenomenological universalities approach
dc.creator.none.fl_str_mv Barberis, Lucas Miguel
Condat, Carlos
Gliozzi, A. S.
Delsanto, P. P.
author Barberis, Lucas Miguel
author_facet Barberis, Lucas Miguel
Condat, Carlos
Gliozzi, A. S.
Delsanto, P. P.
author_role author
author2 Condat, Carlos
Gliozzi, A. S.
Delsanto, P. P.
author2_role author
author
author
dc.subject.none.fl_str_mv ALLOMETRY
GOMPERTZ
GROWTH
ONTOGENESIS
PHENOMENOLOGICAL UNIVERSALITIES
PHENOTYPES
topic ALLOMETRY
GOMPERTZ
GROWTH
ONTOGENESIS
PHENOMENOLOGICAL UNIVERSALITIES
PHENOTYPES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Different physical features of an organism are often measured concurrently, because their correlations can be used as predictors of longevity, future health, or adaptability to an ecological niche. Since, in general, we do not know a priori if the temporal variations in the measured quantities are causally related, it may be useful to have a method that could help us to identify possible correlations and to obtain parameters that may vary from population to population. In this paper we develop a procedure that may detect underlying relationships. We do this by generalizing the recently introduced concept of phenomenological universalities to the complex field. In this generalization, allometric growth is described by a complex function, whose real and imaginary parts represent two phenotypic traits of the same organism. As particular solutions of the resulting problem, we obtain generalizations of the Gompertz and the von Bertalanffy-West growth equations. We then apply the procedure to two biological systems in order to show how to determine the existence of mutual interference between trait variations.
Fil: Barberis, Lucas Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Condat, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Gliozzi, A. S.. Politecnico Di Torino; Italia
Fil: Delsanto, P. P.. Politecnico Di Torino; Italia
description Different physical features of an organism are often measured concurrently, because their correlations can be used as predictors of longevity, future health, or adaptability to an ecological niche. Since, in general, we do not know a priori if the temporal variations in the measured quantities are causally related, it may be useful to have a method that could help us to identify possible correlations and to obtain parameters that may vary from population to population. In this paper we develop a procedure that may detect underlying relationships. We do this by generalizing the recently introduced concept of phenomenological universalities to the complex field. In this generalization, allometric growth is described by a complex function, whose real and imaginary parts represent two phenotypic traits of the same organism. As particular solutions of the resulting problem, we obtain generalizations of the Gompertz and the von Bertalanffy-West growth equations. We then apply the procedure to two biological systems in order to show how to determine the existence of mutual interference between trait variations.
publishDate 2010
dc.date.none.fl_str_mv 2010-05-07
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/11336/190230
Barberis, Lucas Miguel; Condat, Carlos; Gliozzi, A. S.; Delsanto, P. P.; Concurrent growth of phenotypic features: A phenomenological universalities approach; Academic Press Ltd - Elsevier Science Ltd; Journal of Theoretical Biology; 264; 1; 7-5-2010; 123-129
0022-5193
CONICET Digital
CONICET
url http://hdl.handle.net/11336/190230
identifier_str_mv Barberis, Lucas Miguel; Condat, Carlos; Gliozzi, A. S.; Delsanto, P. P.; Concurrent growth of phenotypic features: A phenomenological universalities approach; Academic Press Ltd - Elsevier Science Ltd; Journal of Theoretical Biology; 264; 1; 7-5-2010; 123-129
0022-5193
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jtbi.2009.12.024
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022519309005979
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
application/pdf
dc.publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
publisher.none.fl_str_mv Academic Press Ltd - Elsevier Science Ltd
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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