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    DNA barcoding in Nautilus pompilius (Mollusca:Cephalopoda): Evolutionary divergence of an ancient species in modern times

    Access Status
    Fulltext not available
    Authors
    Williams, R.
    Newman, Stephen
    Sinclair, W.
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Williams, R. and Newman, S. and Sinclair, W. 2012. DNA barcoding in Nautilus pompilius (Mollusca:Cephalopoda): Evolutionary divergence of an ancient species in modern times. Invertebrate Systematics. 26 (5-6): pp. 548-560.
    Source Title
    Invertebrate Systematics
    DOI
    10.1071/IS12023
    ISSN
    1445-5226
    School
    Department of Environment and Agriculture
    URI
    http://hdl.handle.net/20.500.11937/52874
    Collection
    • Curtin Research Publications
    Abstract

    DNA barcoding studies to elucidate the evolutionary and dispersal history of the current populations of Nautilus pompilius allow us to develop a greater understanding of their biology, their movement and the systematic relationships between different groups. Phylogenetic analyses were conducted on Australian N. pompilius, and COI sequences were generated for 98 discrete accessions. Sequences from samples collected across the distribution were sourced from GenBank and included in the analyses. Maximum likelihood revealed three distinct clades for N. pompilius: (1) populations sourced from west Australia, Indonesia and the Philippines; (2) populations collected from east Australia and Papua New Guinea; (3) western Pacific accessions from Vanuatu, American Samoa and Fiji, supporting previous findings on the evolutionary divergence of N. pompilius. A minimum spanning tree revealed 49 discrete haplotypes for the 128 accessions, from a total of 16 discrete sampling locations. Population similarity reflects oceanic topographic features, with divergence between populations across the N. pompilius range mirroring geographical separation. This illustrates the success of DNA barcoding as a tool to identify geographic origin, and looks to the future role of such technology in population genetics and evolutionary biology. © CSIRO 2012 .

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