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dc.contributor.authorGlidden, CK
dc.contributor.authorKoehler, A
dc.contributor.authorHall, RS
dc.contributor.authorSaeed, MA
dc.contributor.authorCoppo, M
dc.contributor.authorBeechler, BR
dc.contributor.authorCharleston, B
dc.contributor.authorGasser, RB
dc.contributor.authorJolles, AE
dc.contributor.authorJabbar, A
dc.date.accessioned2020-11-26T23:58:35Z
dc.date.available2020-11-26T23:58:35Z
dc.date.issued2020-01-01
dc.identifierpii: ECE35758
dc.identifier.citationGlidden, 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.
dc.identifier.issn2045-7758
dc.identifier.urihttp://hdl.handle.net/11343/252303
dc.description.abstractIncreasing 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.
dc.languageEnglish
dc.publisherWiley
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleElucidating cryptic dynamics of Theileria communities in African buffalo using a high-throughput sequencing informatics approach
dc.typeJournal Article
dc.identifier.doi10.1002/ece3.5758
melbourne.affiliation.departmentVeterinary Biosciences
melbourne.source.titleEcology and Evolution
melbourne.source.volume10
melbourne.source.issue1
melbourne.source.pages70-80
dc.rights.licenseCC BY
melbourne.elementsid1427748
melbourne.contributor.authorGasser, Robin
melbourne.contributor.authorKoehler, Anson
melbourne.contributor.authorJabbar, Abdul
melbourne.contributor.authorSaeed, Muhammad
melbourne.contributor.authorCoppo, Mauricio
melbourne.contributor.authorHall, Ross
dc.identifier.eissn2045-7758
melbourne.accessrightsOpen Access


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