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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/55174
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dc.creatorAristóteles Góes-Netopt_BR
dc.creatorMarcelo V.C. Dinizpt_BR
dc.creatorDaniel Santana de Carvalhopt_BR
dc.creatorGilberto Cafezeiro Bomfimpt_BR
dc.creatorAngelo Amâncio Duartept_BR
dc.creatorJerzy A. Brzozowskipt_BR
dc.creatorThierry C. Petit Lobãopt_BR
dc.creatorSuani T.R. Pinhopt_BR
dc.creatorCharbel N. El-Hanipt_BR
dc.creatorRoberto Fernandes Silva Andradept_BR
dc.date.accessioned2023-06-20T19:30:02Z-
dc.date.available2023-06-20T19:30:02Z-
dc.date.issued2018-
dc.citation.volume6pt_BR
dc.citation.issuee4349pt_BR
dc.identifier.doihttp://dx.doi.org/10.7717/peerj.4349pt_BR
dc.identifier.issn2167-8359pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/55174-
dc.description.resumoComplex networks have been successfully applied to the characterization and modeling of complex systems in several distinct areas of Biological Sciences. Nevertheless, their utilization in phylogenetic analysis still needs to be widely tested, using different molecular data sets and taxonomic groups, and, also, by comparing complex networks approach to current methods in phylogenetic analysis. In this work, we compare all the four main methods of phylogenetic analysis (distance, maximum parsimony, maximum likelihood, and Bayesian) with a complex networks method that has been used to provide a phylogenetic classification based on a large number of protein sequences as those related to the chitin metabolic pathway and ATP-synthase subunits. In order to perform a close comparison to these methods, we selected Basidiomycota fungi as the taxonomic group and used a high-quality, manually curated and characterized database of chitin synthase sequences. This enzymatic protein plays a key role in the synthesis of one of the exclusive features of the fungal cell wall: the presence of chitin. The communities (modules) detected by the complex network method corresponded exactly to the groups retrieved by the phylogenetic inference methods. Additionally, we propose a bootstrap method for the complex network approach. The statistical results we have obtained with this method were also close to those obtained using traditional bootstrap methods.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICB - DEPARTAMENTO DE MICROBIOLOGIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofPeerJpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectComplex networkspt_BR
dc.subjectCommunity detectionpt_BR
dc.subjectPhylogenetic methodspt_BR
dc.subjectStatistical supportpt_BR
dc.subjectBasidiomycotapt_BR
dc.subjectChitin synthasespt_BR
dc.subject.otherRedes complexaspt_BR
dc.subject.otherFilogeniapt_BR
dc.subject.otherBasidiomycotapt_BR
dc.subject.otherQuitina sintasept_BR
dc.titleComparison of complex networks and tree-based methods of phylogenetic analysis and proposal of a bootstrap methodpt_BR
dc.title.alternativeComparação de redes complexas e métodos baseados em árvores de análise filogenética e proposta de um método bootstrappt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://peerj.com/articles/4349/#p-1pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-7692-6243pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1772-7727pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-6590-4287pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0053-3574pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-7446-1342pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-8667-9530pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1404-3485pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-2308-3983pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-9323-1400pt_BR
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