University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Melbourne Veterinary School
  • Veterinary Biosciences
  • Veterinary Biosciences - Research Publications
  • View Item
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Melbourne Veterinary School
  • Veterinary Biosciences
  • Veterinary Biosciences - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Elucidating cryptic dynamics of Theileria communities in African buffalo using a high-throughput sequencing informatics approach

    Thumbnail
    Download
    Published version (1.201Mb)

    Citations
    Scopus
    Web of Science
    Altmetric
    4
    3
    Author
    Glidden, CK; Koehler, A; Hall, RS; Saeed, MA; Coppo, M; Beechler, BR; Charleston, B; Gasser, RB; Jolles, AE; Jabbar, A
    Date
    2020-01-01
    Source Title
    Ecology and Evolution
    Publisher
    Wiley
    University of Melbourne Author/s
    Gasser, Robin; Koehler, Anson; Jabbar, Abdul; Saeed, Muhammad; Coppo, Mauricio; Hall, Ross
    Affiliation
    Veterinary Biosciences
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Glidden, C. K., Koehler, A., Hall, R. S., Saeed, M. A., Coppo, M., Beechler, B. R., Charleston, B., Gasser, R. B., Jolles, A. E. & Jabbar, A. (2020). Elucidating cryptic dynamics of Theileria communities in African buffalo using a high-throughput sequencing informatics approach. Ecology and Evolution, 10 (1), pp.70-80. https://doi.org/10.1002/ece3.5758.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/252303
    DOI
    10.1002/ece3.5758
    Abstract
    Increasing access to next‐generation sequencing (NGS) technologies is revolutionizing the life sciences. In disease ecology, NGS‐based methods have the potential to provide higher‐resolution data on communities of parasites found in individual hosts as well as host populations. Here, we demonstrate how a novel analytical method, utilizing high‐throughput sequencing of PCR amplicons, can be used to explore variation in blood‐borne parasite (Theileria—Apicomplexa: Piroplasmida) communities of African buffalo at higher resolutions than has been obtained with conventional molecular tools. Results reveal temporal patterns of synchronized and opposite fluctuations of prevalence and relative abundance of Theileria spp. within the host population, suggesting heterogeneous transmission across taxa. Furthermore, we show that the community composition of Theileria spp. and their subtypes varies considerably between buffalo, with differences in composition reflected in mean and variance of overall parasitemia, thereby showing potential to elucidate previously unexplained contrasts in infection outcomes for host individuals. Importantly, our methods are generalizable as they can be utilized to describe blood‐borne parasite communities in any host species. Furthermore, our methodological framework can be adapted to any parasite system given the appropriate genetic marker. The findings of this study demonstrate how a novel NGS‐based analytical approach can provide fine‐scale, quantitative data, unlocking opportunities for discovery in disease ecology.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45770]
    • Veterinary Biosciences - Research Publications [441]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors