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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3882
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dc.contributor.authorZoller, Stefan-
dc.contributor.authorBoskova, Veronika-
dc.contributor.authorAnisimova, Maria-
dc.date.accessioned2018-07-17T14:49:28Z-
dc.date.available2018-07-17T14:49:28Z-
dc.date.issued2015-
dc.identifier.issn0737-4038de_CH
dc.identifier.issn1537-1719de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/8260-
dc.descriptionErworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)de_CH
dc.description.abstractMany protein sequences have distinct domains that evolve with different rates, different selective pressures, or may differ in codon bias. Instead of modeling these differences by more and more complex models of molecular evolution, we present a multipartition approach that allows maximum-likelihood phylogeny inference using different codon models at predefined partitions in the data. Partition models can, but do not have to, share free parameters in the estimation process. We test this approach with simulated data as well as in a phylogenetic study of the origin of the leucin-rich repeat regions in the type III effector proteins of the pythopathogenic bacteria Ralstonia solanacearum. Our study does not only show that a simple two-partition model resolves the phylogeny better than a one-partition model but also gives more evidence supporting the hypothesis of lateral gene transfer events between the bacterial pathogens and its eukaryotic hosts.de_CH
dc.language.isoende_CH
dc.publisherOxford University Pressde_CH
dc.relation.ispartofMolecular Biology and Evolutionde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMarkov modelde_CH
dc.subjectAmino acid substitution modelde_CH
dc.subjectCodon substitution modelde_CH
dc.subjectMaximum-likelihood treede_CH
dc.subjectBacterial proteinde_CH
dc.subjectRalstonia solanacearumde_CH
dc.subjectCodonde_CH
dc.subjectGenetic modelde_CH
dc.subject.ddc572: Biochemiede_CH
dc.titleMaximum-likelihood tree estimation using codon substitution models with multiple partitionsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.21256/zhaw-3882-
dc.identifier.doi10.1093/molbev/msv097de_CH
dc.identifier.pmid25911229de_CH
zhaw.funding.euNode_CH
zhaw.issue8de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end2216de_CH
zhaw.pages.start2208de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume32de_CH
zhaw.embargo.end2019-01-01de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedComputational Genomicsde_CH
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Zoller, S., Boskova, V., & Anisimova, M. (2015). Maximum-likelihood tree estimation using codon substitution models with multiple partitions. Molecular Biology and Evolution, 32(8), 2208–2216. https://doi.org/10.21256/zhaw-3882
Zoller, S., Boskova, V. and Anisimova, M. (2015) ‘Maximum-likelihood tree estimation using codon substitution models with multiple partitions’, Molecular Biology and Evolution, 32(8), pp. 2208–2216. Available at: https://doi.org/10.21256/zhaw-3882.
S. Zoller, V. Boskova, and M. Anisimova, “Maximum-likelihood tree estimation using codon substitution models with multiple partitions,” Molecular Biology and Evolution, vol. 32, no. 8, pp. 2208–2216, 2015, doi: 10.21256/zhaw-3882.
ZOLLER, Stefan, Veronika BOSKOVA und Maria ANISIMOVA, 2015. Maximum-likelihood tree estimation using codon substitution models with multiple partitions. Molecular Biology and Evolution. 2015. Bd. 32, Nr. 8, S. 2208–2216. DOI 10.21256/zhaw-3882
Zoller, Stefan, Veronika Boskova, and Maria Anisimova. 2015. “Maximum-Likelihood Tree Estimation Using Codon Substitution Models with Multiple Partitions.” Molecular Biology and Evolution 32 (8): 2208–16. https://doi.org/10.21256/zhaw-3882.
Zoller, Stefan, et al. “Maximum-Likelihood Tree Estimation Using Codon Substitution Models with Multiple Partitions.” Molecular Biology and Evolution, vol. 32, no. 8, 2015, pp. 2208–16, https://doi.org/10.21256/zhaw-3882.


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