Survival, gene and metabolite responses of Litoria verreauxii alpina frogs to fungal disease chytridiomycosis
AuthorGrogan, LF; Mulvenna, J; Gummer, JPA; Scheele, BC; Berger, L; Cashins, SD; McFadden, MS; Harlow, P; Hunter, DA; Trengove, RD; ...
Source TitleSCIENTIFIC DATA
PublisherNATURE PUBLISHING GROUP
AffiliationVeterinary and Agricultural Sciences
Melbourne Veterinary School
Document TypeJournal Article
CitationsGrogan, L. F., Mulvenna, J., Gummer, J. P. A., Scheele, B. C., Berger, L., Cashins, S. D., McFadden, M. S., Harlow, P., Hunter, D. A., Trengove, R. D. & Skerratt, L. F. (2018). Survival, gene and metabolite responses of Litoria verreauxii alpina frogs to fungal disease chytridiomycosis. SCIENTIFIC DATA, 5 (1), https://doi.org/10.1038/sdata.2018.33.
Access StatusOpen Access
Open Access at PMChttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839156
The fungal skin disease chytridiomycosis has caused the devastating decline and extinction of hundreds of amphibian species globally, yet the potential for evolving resistance, and the underlying pathophysiological mechanisms remain poorly understood. We exposed 406 naïve, captive-raised alpine tree frogs (Litoria verreauxii alpina) from multiple populations (one evolutionarily naïve to chytridiomycosis) to the aetiological agent Batrachochytrium dendrobatidis in two concurrent and controlled infection experiments. We investigated (A) survival outcomes and clinical pathogen burdens between populations and clutches, and (B) individual host tissue responses to chytridiomycosis. Here we present multiple interrelated datasets associated with these exposure experiments, including animal signalment, survival and pathogen burden of 355 animals from Experiment A, and the following datasets related to 61 animals from Experiment B: animal signalment and pathogen burden; raw RNA-Seq reads from skin, liver and spleen tissues; de novo assembled transcriptomes for each tissue type; raw gene expression data; annotation data for each gene; and raw metabolite expression data from skin and liver tissues. These data provide an extensive baseline for future analyses.
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