Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory
- Autores
- Pérez, Sergio Iván; M. de Aguiar, Marcus A.; Guimarães, Paulo R.; Reis, Sérgio F. dos
- Año de publicación
- 2009
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The notion of modularity has become a unifying principle to understand structural and functional aspects of biological organization at different levels of complexity. Recently, deciphering the modular organization of molecular systems has been greatly aided by network theory. Nevertheless, network theory is completely absent from the investigation of modularity of complex macroscopic phenotypes, a fundamental level of organization at which organisms experience and interact with the environment. Here, we used geometric descriptors of phenotypic variation to derive a network representation of a complex morphological structure, the mammalian mandible, in terms of nodes and links. Then, by integrating the network representation and description with random matrix theory, we uncovered a modular organization for the mammalian mandible, which deviates significantly from an equivalent random network. The modules revealed by the network analysis correspond to the four morphogenetic units recognized for the mammalian mandible on a developmental basis. Furthermore, these modules are known to be affected only by particular genes and are also functionally differentiated. This study shows that the powerful formalism of network theory can be applied to the discovery of modules in complex phenotypes and opens the possibility of an integrated approach to the study of modularity at all levels of organizational complexity.
Facultad de Ciencias Naturales y Museo - Materia
-
Ciencias Naturales
Geometric morphometrics
Correlation networks
Variational modularity
Simulated annealing
Mammalian mandible - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/147172
Ver los metadatos del registro completo
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Searching for Modular Structure in Complex Phenotypes: Inferences from Network TheoryPérez, Sergio IvánM. de Aguiar, Marcus A.Guimarães, Paulo R.Reis, Sérgio F. dosCiencias NaturalesGeometric morphometricsCorrelation networksVariational modularitySimulated annealingMammalian mandibleThe notion of modularity has become a unifying principle to understand structural and functional aspects of biological organization at different levels of complexity. Recently, deciphering the modular organization of molecular systems has been greatly aided by network theory. Nevertheless, network theory is completely absent from the investigation of modularity of complex macroscopic phenotypes, a fundamental level of organization at which organisms experience and interact with the environment. Here, we used geometric descriptors of phenotypic variation to derive a network representation of a complex morphological structure, the mammalian mandible, in terms of nodes and links. Then, by integrating the network representation and description with random matrix theory, we uncovered a modular organization for the mammalian mandible, which deviates significantly from an equivalent random network. The modules revealed by the network analysis correspond to the four morphogenetic units recognized for the mammalian mandible on a developmental basis. Furthermore, these modules are known to be affected only by particular genes and are also functionally differentiated. This study shows that the powerful formalism of network theory can be applied to the discovery of modules in complex phenotypes and opens the possibility of an integrated approach to the study of modularity at all levels of organizational complexity.Facultad de Ciencias Naturales y Museo2009-11-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf416-422http://sedici.unlp.edu.ar/handle/10915/147172enginfo:eu-repo/semantics/altIdentifier/issn/0071-3260info:eu-repo/semantics/altIdentifier/issn/1934-2845info:eu-repo/semantics/altIdentifier/doi/10.1007/s11692-009-9074-7info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:32:31Zoai:sedici.unlp.edu.ar:10915/147172Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:32:32.044SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory |
title |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory |
spellingShingle |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory Pérez, Sergio Iván Ciencias Naturales Geometric morphometrics Correlation networks Variational modularity Simulated annealing Mammalian mandible |
title_short |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory |
title_full |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory |
title_fullStr |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory |
title_full_unstemmed |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory |
title_sort |
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory |
dc.creator.none.fl_str_mv |
Pérez, Sergio Iván M. de Aguiar, Marcus A. Guimarães, Paulo R. Reis, Sérgio F. dos |
author |
Pérez, Sergio Iván |
author_facet |
Pérez, Sergio Iván M. de Aguiar, Marcus A. Guimarães, Paulo R. Reis, Sérgio F. dos |
author_role |
author |
author2 |
M. de Aguiar, Marcus A. Guimarães, Paulo R. Reis, Sérgio F. dos |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Naturales Geometric morphometrics Correlation networks Variational modularity Simulated annealing Mammalian mandible |
topic |
Ciencias Naturales Geometric morphometrics Correlation networks Variational modularity Simulated annealing Mammalian mandible |
dc.description.none.fl_txt_mv |
The notion of modularity has become a unifying principle to understand structural and functional aspects of biological organization at different levels of complexity. Recently, deciphering the modular organization of molecular systems has been greatly aided by network theory. Nevertheless, network theory is completely absent from the investigation of modularity of complex macroscopic phenotypes, a fundamental level of organization at which organisms experience and interact with the environment. Here, we used geometric descriptors of phenotypic variation to derive a network representation of a complex morphological structure, the mammalian mandible, in terms of nodes and links. Then, by integrating the network representation and description with random matrix theory, we uncovered a modular organization for the mammalian mandible, which deviates significantly from an equivalent random network. The modules revealed by the network analysis correspond to the four morphogenetic units recognized for the mammalian mandible on a developmental basis. Furthermore, these modules are known to be affected only by particular genes and are also functionally differentiated. This study shows that the powerful formalism of network theory can be applied to the discovery of modules in complex phenotypes and opens the possibility of an integrated approach to the study of modularity at all levels of organizational complexity. Facultad de Ciencias Naturales y Museo |
description |
The notion of modularity has become a unifying principle to understand structural and functional aspects of biological organization at different levels of complexity. Recently, deciphering the modular organization of molecular systems has been greatly aided by network theory. Nevertheless, network theory is completely absent from the investigation of modularity of complex macroscopic phenotypes, a fundamental level of organization at which organisms experience and interact with the environment. Here, we used geometric descriptors of phenotypic variation to derive a network representation of a complex morphological structure, the mammalian mandible, in terms of nodes and links. Then, by integrating the network representation and description with random matrix theory, we uncovered a modular organization for the mammalian mandible, which deviates significantly from an equivalent random network. The modules revealed by the network analysis correspond to the four morphogenetic units recognized for the mammalian mandible on a developmental basis. Furthermore, these modules are known to be affected only by particular genes and are also functionally differentiated. This study shows that the powerful formalism of network theory can be applied to the discovery of modules in complex phenotypes and opens the possibility of an integrated approach to the study of modularity at all levels of organizational complexity. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-11-17 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo 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://sedici.unlp.edu.ar/handle/10915/147172 |
url |
http://sedici.unlp.edu.ar/handle/10915/147172 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/0071-3260 info:eu-repo/semantics/altIdentifier/issn/1934-2845 info:eu-repo/semantics/altIdentifier/doi/10.1007/s11692-009-9074-7 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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application/pdf 416-422 |
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