Interrogating genomic-scale data for squamata (lizards, snakes, and amphisbaenians) shows no support for key traditional morphological relationships

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dc.contributor(LETA) Lab. Toxinologia Aplicadapt_BR
dc.contributor.authorBurbrink, Frank Tpt_BR
dc.contributor.authorGrazziotin, Felipe Gobbipt_BR
dc.contributor.authorPyron, R Alexanderpt_BR
dc.contributor.authorCundall, Davidpt_BR
dc.contributor.authorDonnellan, Stevept_BR
dc.contributor.authorIrish, Francespt_BR
dc.contributor.authorKeogh, J Scottpt_BR
dc.contributor.authorKraus, Fredpt_BR
dc.contributor.authorMurphy, Robert W.pt_BR
dc.contributor.authorNoonan, Bricept_BR
dc.contributor.authorRaxworthy, Christopher Jpt_BR
dc.contributor.authorRuane, Sarapt_BR
dc.contributor.authorLemmon, Alan R.pt_BR
dc.contributor.authorLemmon, Emily Moriartypt_BR
dc.contributor.authorZaher, Hussampt_BR
dc.date.accessioned2020-07-09T21:27:40Z-
dc.date.available2020-07-09T21:27:40Z-
dc.date.issued2020pt_BR
dc.identifier.citationBurbrink FT, Grazziotin FG, Pyron RA, Cundall D, Donnellan S, Irish F, et al. Interrogating genomic-scale data for squamata (lizards, snakes, and amphisbaenians) shows no support for key traditional morphological relationships. Syst. Biol.. 2020 May;69(3):502-520. doi:10.1093/sysbio/syz062.pt_BR
dc.identifier.urihttps://repositorio.butantan.gov.br/handle/butantan/3030-
dc.description.abstractGenomics is narrowing uncertainty in the phylogenetic structure for many amniote groups. For one of the most diverse and species-rich groups, the squamate reptiles (lizards, snakes, and amphisbaenians), an inverse correlation between the number of taxa and loci sampled still persists across all publications using DNA sequence data and reaching a consensus on the relationships among them has been highly problematic. In this study, we use high-throughput sequence data from 289 samples covering 75 families of squamates to address phylogenetic affinities, estimate divergence times, and characterize residual topological uncertainty in the presence of genome-scale data. Importantly, we address genomic support for the traditional taxonomic groupings Scleroglossa and Macrostomata using novel machine-learning techniques. We interrogate genes using various metrics inherent to these loci, including parsimony-informative sites (PIS), phylogenetic informativeness, length, gaps, number of substitutions, and site concordance to understand why certain loci fail to find previously well-supported molecular clades and how they fail to support species-tree estimates. We show that both incomplete lineage sorting and poor gene-tree estimation (due to a few undesirable gene properties, such as an insufficient number of PIS), may account for most gene and species-tree discordance. We find overwhelming signal for Toxicofera, and also show that none of the loci included in this study supports Scleroglossa or Macrostomata. We comment on the origins and diversification of Squamata throughout the Mesozoic and underscore remaining uncertainties that persist in both deeper parts of the tree (e.g., relationships between Dibamia, Gekkota, and remaining squamates; among the three toxicoferan clades Iguania, Serpentes, and Anguiformes) and within specific clades (e.g., affinities among gekkotan, pleurodont iguanians, and colubroid families)pt_BR
dc.description.sponsorship(FAPESP) Fundação de Amparo à Pesquisa do Estado de São Paulopt_BR
dc.description.sponsorship(NSF) National Science Foundationpt_BR
dc.description.sponsorship(ARC) Australian Research Councilpt_BR
dc.format.extent502-520pt_BR
dc.language.isoEnglishpt_BR
dc.relation.ispartofSystematic Biologypt_BR
dc.rightsOpen accesspt_BR
dc.titleInterrogating genomic-scale data for squamata (lizards, snakes, and amphisbaenians) shows no support for key traditional morphological relationshipspt_BR
dc.typeArticlept_BR
dc.identifier.doi10.1093/sysbio/syz062pt_BR
dc.identifier.urlhttps://doi.org/10.1093/sysbio/syz062pt_BR
dc.contributor.external(AMNH) American Museum of Natural Historypt_BR
dc.contributor.externalGeorge Washington Universitypt_BR
dc.contributor.externalLehigh Universitypt_BR
dc.contributor.externalSouth Australian Museumpt_BR
dc.contributor.externalUniversity of Adelaidept_BR
dc.contributor.externalMoravian Collegept_BR
dc.contributor.external(ANU) Australian National Universitypt_BR
dc.contributor.externalUniversity of Michiganpt_BR
dc.contributor.externalRoyal Ontario Museumpt_BR
dc.contributor.externalUniversity of Mississippipt_BR
dc.contributor.externalRutgers Universitypt_BR
dc.contributor.externalFlorida State Universitypt_BR
dc.contributor.external(USP) Universidade de São Paulopt_BR
dc.contributor.externalSorbonne Universitypt_BR
dc.contributor.externalSmithsonian National Museum of Natural Historypt_BR
dc.identifier.citationvolume69pt_BR
dc.identifier.citationissue3pt_BR
dc.subject.keywordNeural networkpt_BR
dc.subject.keywordgene interrogationpt_BR
dc.subject.keywordlizardspt_BR
dc.subject.keywordsnakespt_BR
dc.subject.keywordgenomicspt_BR
dc.subject.keywordphylogenypt_BR
dc.relation.ispartofabbreviatedSyst Biolpt_BR
dc.identifier.citationabntv. 69, n. 3, p. 502-520, mai. 2020pt_BR
dc.identifier.citationvancouver2020 May;69(3):502-520pt_BR
dc.contributor.butantanGrazziotin, Felipe Gobbi|:Pesquisador:Docente Colaborador PPGTOX|:(LETA) Lab. Toxinologia Aplicada|:pt_BR
dc.sponsorship.butantanAustralian Research Council (ARC)¦¦120104146pt_BR
dc.sponsorship.butantan(FAPESP) Fundação de Amparo à Pesquisa do Estado de São Paulo¦¦2011/50206-9pt_BR
dc.sponsorship.butantan(FAPESP) Fundação de Amparo à Pesquisa do Estado de São Paulo¦¦2012/08661-3pt_BR
dc.sponsorship.butantanNational Science Foundation (NSF)¦¦1257926pt_BR
dc.sponsorship.butantanNational Science Foundation (NSF)¦¦1441719pt_BR
dc.sponsorship.butantanNational Science Foundation (NSF)¦¦1257610pt_BR
dc.identifier.bvsccBR78.1pt_BR
dc.identifier.bvsdbIBProdpt_BR
dc.description.dbindexedYespt_BR
item.grantfulltextembargo_29990101-
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