Survival, gene and metabolite responses of Litoria verreauxii alpina frogs to fungal disease chytridiomycosis.
Laura F GroganJason MulvennaJoel P A GummerBen C ScheeleLee BergerScott D CashinsMichael S McFaddenPeter HarlowDavid A HunterRobert D TrengoveLee F SkerrattPublished in: Scientific data (2018)
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.
Keyphrases
- rna seq
- gene expression
- single cell
- electronic health record
- big data
- candida albicans
- soft tissue
- poor prognosis
- genome wide
- copy number
- risk factors
- wound healing
- data analysis
- current status
- free survival
- genome wide identification
- mass spectrometry
- long non coding rna
- deep learning
- risk assessment
- human health
- genome wide analysis
- drug induced