Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory

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 t...

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Detalles Bibliográficos
Autores principales: Pérez, Sergio Iván, M. de Aguiar, Marcus A., Guimarães, Paulo R., Reis, Sérgio F. dos
Formato: Articulo
Lenguaje:Inglés
Publicado: 2009
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/147172
Aporte de:
id I19-R120-10915-147172
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Naturales
Geometric morphometrics
Correlation networks
Variational modularity
Simulated annealing
Mammalian mandible
spellingShingle Ciencias Naturales
Geometric morphometrics
Correlation networks
Variational modularity
Simulated annealing
Mammalian mandible
Pérez, Sergio Iván
M. de Aguiar, Marcus A.
Guimarães, Paulo R.
Reis, Sérgio F. dos
Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory
topic_facet Ciencias Naturales
Geometric morphometrics
Correlation networks
Variational modularity
Simulated annealing
Mammalian mandible
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.
format Articulo
Articulo
author Pérez, Sergio Iván
M. de Aguiar, Marcus A.
Guimarães, Paulo R.
Reis, Sérgio F. dos
author_facet Pérez, Sergio Iván
M. de Aguiar, Marcus A.
Guimarães, Paulo R.
Reis, Sérgio F. dos
author_sort Pérez, Sergio Iván
title Searching for Modular Structure in Complex Phenotypes: Inferences from Network Theory
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
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/147172
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AT guimaraespaulor searchingformodularstructureincomplexphenotypesinferencesfromnetworktheory
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