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    Integration of complete chloroplast genome sequences with small amplicon datasets improves phylogenetic resolution in Acacia

    235622_235622.pdf (2.772Mb)
    Access Status
    Open access
    Authors
    Williams, A.
    Miller, J.
    Small, I.
    Nevill, Paul
    Boykin, L.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Williams, A. and Miller, J. and Small, I. and Nevill, P. and Boykin, L. 2016. Integration of complete chloroplast genome sequences with small amplicon datasets improves phylogenetic resolution in Acacia. Molecular Phylogenetics and Evolution. 96: pp. 1-8.
    Source Title
    Molecular Phylogenetics and Evolution
    DOI
    10.1016/j.ympev.2015.11.021
    ISSN
    1055-7903
    School
    Department of Environment and Agriculture
    URI
    http://hdl.handle.net/20.500.11937/9394
    Collection
    • Curtin Research Publications
    Abstract

    Combining whole genome data with previously obtained amplicon sequences has the potential to increase the resolution of phylogenetic analyses, particularly at low taxonomic levels or where recent divergence, rapid speciation or slow genome evolution has resulted in limited sequence variation. However, the integration of these types of data for large scale phylogenetic studies has rarely been investigated. Here we conduct a phylogenetic analysis of the whole chloroplast genome and two nuclear ribosomal loci for 65 Acacia species from across the most recent Acacia phylogeny. We then combine this data with previously generated amplicon sequences (four chloroplast loci and two nuclear ribosomal loci) for 508 Acacia species. We use several phylogenetic methods, including maximum likelihood bootstrapping (with and without constraint) and ExaBayes, in order to determine the success of combining a dataset of 4000 bp with one of 189,000 bp. The results of our study indicate that the inclusion of whole genome data gave a far better resolved and well supported representation of the phylogenetic relationships within Acacia than using only amplicon sequences, with the greatest support observed when using a whole genome phylogeny as a constraint on the amplicon sequences. Our study therefore provides methods for optimal integration of genomic and amplicon sequences.

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