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    Metagenome profiling identifies potential biocontrol agents for Selaginella kraussiana in New Zealand

    Dang, Z.; McLenachan, P.A.; Lockhart, Peter; Waipara, N.; Er, Orhan A.H.; Reynolds, Christy; Blanchon, Dan

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    genes_10_00106.pdf (2.930Mb)
    Date
    2019-01-31
    Citation:
    Dang, Z., McLenachan, P. A., Lockhart, P. J., Waipara, N., Er, O., Reynolds, C., & Blanchon, D. J. (2019). Metagenome Profiling Identifies Potential Biocontrol Agents for Selaginella kraussiana in New Zealand. Genes, 10, online. doi:10.3390/genes10020106
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/4602
    Abstract
    Metagenomics can be used to identify potential biocontrol agents for invasive species and was used here to identify candidate species for biocontrol of an invasive club moss in New Zealand. Profiles were obtained for Selaginella kraussiana collected from nine geographically disjunct locations in Northern New Zealand. These profiles were distinct from those obtained for the exotic club moss Selaginella moellendorffii and the native club mosses Lycopodium deuterodensum and Lycopodium volubile also collected in Northern New Zealand. Fungi and bacteria implicated elsewhere in causing plant disease were identified on plants of Selaginella that exhibited signs of necrosis. Most notably, high densities of sequence reads from Xanthomonas translucens and Pseudomonas syringae were associated with some populations of Selaginella but not Lycopodium. Since these bacteria are already in use as biocontrol agents elsewhere, further investigation into their potential as biocontrol of Selaginella in New Zealand is suggested.
    Keywords:
    New Zealand, Selaginella kraussiana (African clubmoss), metagenome profiling, biocontrol agents, invasive plants
    ANZSRC Field of Research:
    050103 Invasive Species Ecology
    Copyright Holder:
    © 2019 by the authors. Licensee MDPI, Basel, Switzerland
    Copyright Notice:
    This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
    Available Online at:
    https://www.mdpi.com/2073-4425/10/2/106/pdf
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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