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dc.contributor.authorDeeds, Eric
dc.contributor.authorHennessey, Hooman
dc.contributor.authorShakhnovich, Eugene
dc.date.accessioned2019-10-11T12:29:30Z
dc.date.issued2005
dc.identifier.citationDeeds, E. J. 2005. “Prokaryotic Phylogenies Inferred from Protein Structural Domains.” Genome Research15 (3): 393–402. https://doi.org/10.1101/gr.3033805.
dc.identifier.issn1088-9051
dc.identifier.issn1549-5469
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41534484*
dc.description.abstractThe determination of the phylogenetic relationships among microorganisms has long relied primarily on gene sequence information. Given that prokaryotic organisms often lack morphological characteristics amenable to phylogenetic analysis, prokaryotic phylogenies, in particular, are often based oil sequence data. In this work, we explore a new source of phylogenetic information, the distribution of protein structural domains within fully sequenced prokaryotic genomes. The evolution Of the structural domains we Use has been studied extensively, allowing us to base our phylogenetic methods oil testable theoretical models Of Structural evolution. We find that the methods that produce reasonable phylogenetic relationships are indeed the methods that are most consistent with theoretical evolutionary models. This work represents, to our knowledge, the first such theoretically motivated phylogeny, as well as the first application of structural information to phylogeny oil this scale. Our results have strong implications for the phylogenetic relationships among prokaryotic organisms and for the understanding of protein evolution as a whole.
dc.language.isoen_US
dc.publisherCold Spring Harbor Laboratory Press
dash.licenseLAA
dc.titleProkaryotic phylogenies inferred from protein structural domains
dc.typeJournal Article
dc.description.versionVersion of Record
dc.relation.journalGenome Research
dash.depositing.authorShakhnovich, Eugene Isaacovitch::f6c3b099a5c771576073eb9a31658d2e::600
dc.date.available2019-10-11T12:29:30Z
dash.workflow.comments1Science Serial ID 43669
dc.identifier.doi10.1101/gr.3033805
dash.source.volume15;3
dash.source.page393


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