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Population genetic analysis and phylogeny reconstruction in Eucalyptus (Myrtaceae) using high-throughput, genome-wide genotyping

Steane, DA, Nicolle, D, Sansaloni, CP, Petroli, CD, Carling, J, Kilian, A, Myburg, AA, Grattapaglia, D and Vaillancourt, RE 2011 , 'Population genetic analysis and phylogeny reconstruction in Eucalyptus (Myrtaceae) using high-throughput, genome-wide genotyping' , Molecular Phylogenetics and Evolution, vol. 59, no. 1 , pp. 206-224 , doi: https://doi.org/10.1016/j.ympev.2011.02.003.

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Abstract

A set of over 8000 Diversity Arrays Technology (DArT) markers was tested for its utility in high-resolution
population and phylogenetic studies across a range of Eucalyptus taxa. Small-scale population studies of
Eucalyptus camaldulensis, Eucalyptus cladocalyx, Eucalyptus globulus, Eucalyptus grandis, Eucalyptus nitens,
Eucalyptus pilularis and Eucalyptus urophylla demonstrated the potential of genome-wide genotyping with
DArT markers to differentiate species, to identify interspecific hybrids and to resolve biogeographic disjunctions
within species. The population genetic studies resolved geographically partitioned clusters in E.
camaldulensis, E. cladocalyx, E. globulus and E. urophylla that were congruent with previous molecular
studies. A phylogenetic study of 94 eucalypt species provided results that were largely congruent with
traditional taxonomy and ITS-based phylogenies, but provided more resolution within major clades than
had been obtained previously. Ascertainment bias (the bias introduced in a phylogeny from using markers
developed in a small sample of the taxa that are being studied) was not detected. DArT offers an
unprecedented level of resolution for population genetic, phylogenetic and evolutionary studies across
the full range of Eucalyptus species.

Item Type: Article
Authors/Creators:Steane, DA and Nicolle, D and Sansaloni, CP and Petroli, CD and Carling, J and Kilian, A and Myburg, AA and Grattapaglia, D and Vaillancourt, RE
Journal or Publication Title: Molecular Phylogenetics and Evolution
ISSN: 1055-7903
DOI / ID Number: https://doi.org/10.1016/j.ympev.2011.02.003
Additional Information:

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