Academic Journal

Efficient Based Estimation of Evolutionary Distance when Substitution Rates Vary Across Sites

التفاصيل البيبلوغرافية
العنوان: Efficient Based Estimation of Evolutionary Distance when Substitution Rates Vary Across Sites
المؤلفون: Guindon, Stéphane, Gascuel, Olivier
المساهمون: Méthodes et Algorithmes pour la Bioinformatique (MAB), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
المصدر: ISSN: 0737-4038.
بيانات النشر: HAL CCSD
Oxford University Press (OUP)
سنة النشر: 2002
المجموعة: Université de Montpellier: HAL
مصطلحات موضوعية: Phylogeny, MESH: Algorithms, MESH: Amino Acid Substitution / genetics, MESH: Animals, MESH: Evolution, Molecular, MESH: Genetic Variation / genetics, MESH: Mutagenesis / genetics, MESH: Hemiptera / genetics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, [SDV.GEN]Life Sciences [q-bio]/Genetics
الوصف: International audience ; This paper deals with phylogenetic inference when the variability of substitution rates across sites (VRAS) is modeled by a gamma distribution. We show that underestimating VRAS, which results in underestimates for the evolutionary distances between sequences, usually improves the topological accuracy of phylogenetic tree inference by distance-based methods, especially when the molecular clock holds. We propose a method to estimate the gammashape parameter value which is most suited for tree topology inference, given the sequences at hand. This method is based on the pairwise evolutionary distances between sequences and allows one to reconstruct the phylogeny of a high number of taxa (>1,000). Simulation results show that the topological accuracy is highly improved when using the gamma shape parameter value given by our method, compared with the true (unknown) value which was used to generate the data. Furthermore, when VRAS is high, the topological accuracy of our distance-based method is better than that of a maximum likelihood approach. Finally, a data set of Maoricicada species sequences is analyzed, which confirms the advantage of our method.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/11919295; lirmm-00268454; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00268454; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00268454/document; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00268454/file/mbev_19_04_534.pdf; PUBMED: 11919295
DOI: 10.1093/oxfordjournals.molbev.a004109
الاتاحة: https://hal-lirmm.ccsd.cnrs.fr/lirmm-00268454
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00268454/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00268454/file/mbev_19_04_534.pdf
https://doi.org/10.1093/oxfordjournals.molbev.a004109
Rights: http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.DBDD8584
قاعدة البيانات: BASE
الوصف
DOI:10.1093/oxfordjournals.molbev.a004109