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ToyLIFE: a computational framework to study the multi-level organisation of the genotype-phenotype map

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dc.affiliation.dptoUC3M. Departamento de Matemáticases
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Interdisciplinar de Sistemas Complejos (GISC)es
dc.contributor.authorFernández Arias, Clemente
dc.contributor.authorCatalan, Pablo
dc.contributor.authorManrubia, Susanna C.
dc.contributor.authorCuesta, José A.
dc.date.accessioned2015-07-20T10:07:53Z
dc.date.available2015-07-20T10:07:53Z
dc.date.issued2014-12
dc.description.abstractThe genotype-phenotype map is an essential object to understand organismal complexity and adaptability. However, its experimental characterisation is a daunting task. Thus, simple models have been proposed and investigated. They have revealed that genotypes differ in their robustness to mutations; phenotypes are represented by a broadly varying number of genotypes, and simple point mutations suffice to navigate the space of genotypes while maintaining a phenotype. Nonetheless, most current models focus only on one level of the map (folded molecules, gene regulatory networks, or networks of metabolic reactions), so that many relevant questions cannot be addressed. Here we introduce toyLIFE, a multi-level model for the genotype-phenotype map based on simple genomes and interaction rules from which a complex behaviour at upper levels emerges - remarkably plastic gene regulatory networks and metabolism. toyLIFE is a tool that permits the investigation of how different levels are coupled, in particular how and where mutations affect phenotype or how the presence of certain metabolites determines the dynamics of toyLIFE gene regulatory networks. The model can easily incorporate evolution through more complex mutations, recombination, or gene duplication and deletion, thus opening an avenue to explore extended genotype-phenotype maps.en
dc.description.sponsorshipThis work was supported through projects FIS2011-22449 (CFA, PC and JAC) and FIS2011{27569 (SM) of the Spanish MINECO.en
dc.description.statusPublicado
dc.format.extent20
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationScientific Reports 4, 7549 (2014), pp. 1-19en
dc.identifier.doi10.1038/srep07549
dc.identifier.issn2045-2322
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage19
dc.identifier.publicationtitleScientific Reportsen
dc.identifier.publicationvolume4-4549
dc.identifier.urihttps://hdl.handle.net/10016/21429
dc.identifier.uxxiAR/0000016025
dc.language.isoeng
dc.publisherMacmillanen
dc.relation.projectIDGobierno de España. FIS2011-22449/PRODIEVOes
dc.relation.projectIDGobierno de España. FIS2011–27569
dc.relation.publisherversionhttp://dx.doi.org/10.1038/srep07549
dc.rights© 2014 Macmillanen
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subject.ecienciaMatemáticases
dc.subject.otherComputational modelsen
dc.subject.otherEvolutionary theoryen
dc.subject.otherRegulatory networkses
dc.subject.otherEvolvabilityen
dc.titleToyLIFE: a computational framework to study the multi-level organisation of the genotype-phenotype mapen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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