A proposal for a multivariate quantitative approach to infer karyological relationships among taxa

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dc.contributor.authorPeruzzi, Lorenzo
dc.contributor.authorAltinordu, Fahim
dc.date.accessioned2020-03-26T18:49:15Z
dc.date.available2020-03-26T18:49:15Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractUntil now, basic karyological parameters have been used in different ways by researchers to infer karyological relationships among organisms. In the present study, we propose a standardized approach to this aim, integrating six different, not redundant, parameters in a multivariate PCoA analysis. These parameters are chromosome number, basic chromosome number, total haploid chromosome length, MCA (Mean Centromeric Asymmetry), CVCL (Coefficient of Variation of Chromosome Length) and CVCI (Coefficient of Variation of Centromeric Index). The method is exemplified with the application to several plant taxa, and its significance and limits are discussed in the light of current phylogenetic knowledge of these groups.en_US
dc.identifier.doi10.3897/CompCytogen.v8i4.8564en_US
dc.identifier.endpage349en_US
dc.identifier.issn1993-0771en_US
dc.identifier.issn1993-078Xen_US
dc.identifier.issue4en_US
dc.identifier.pmid25610547en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage337en_US
dc.identifier.urihttps://dx.doi.org/10.3897/CompCytogen.v8i4.8564
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30566
dc.identifier.volume8en_US
dc.identifier.wosWOS:000349069500003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherPENSOFT PUBLISHERSen_US
dc.relation.ispartofCOMPARATIVE CYTOGENETICSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectComparative cytogeneticsen_US
dc.subjectcytotaxonomyen_US
dc.subjectkaryotype asymmetryen_US
dc.subjectkaryotype variationen_US
dc.subjectPCoAen_US
dc.titleA proposal for a multivariate quantitative approach to infer karyological relationships among taxaen_US
dc.typeArticleen_US

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