9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Survival, gene and metabolite responses of Litoria verreauxii alpina frogs to fungal disease chytridiomycosis

      data-paper

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: found
          • Article: not found

          Chytridiomycosis causes amphibian mortality associated with population declines in the rain forests of Australia and Central America.

          Epidermal changes caused by a chytridiomycete fungus (Chytridiomycota; Chytridiales) were found in sick and dead adult anurans collected from montane rain forests in Queensland (Australia) and Panama during mass mortality events associated with significant population declines. We also have found this new disease associated with morbidity and mortality in wild and captive anurans from additional locations in Australia and Central America. This is the first report of parasitism of a vertebrate by a member of the phylum Chytridiomycota. Experimental data support the conclusion that cutaneous chytridiomycosis is a fatal disease of anurans, and we hypothesize that it is the proximate cause of these recent amphibian declines.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Spread of Chytridiomycosis Has Caused the Rapid Global Decline and Extinction of Frogs

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Biases in Illumina transcriptome sequencing caused by random hexamer priming

              Generation of cDNA using random hexamer priming induces biases in the nucleotide composition at the beginning of transcriptome sequencing reads from the Illumina Genome Analyzer. The bias is independent of organism and laboratory and impacts the uniformity of the reads along the transcriptome. We provide a read count reweighting scheme, based on the nucleotide frequencies of the reads, that mitigates the impact of the bias.
                Bookmark

                Author and article information

                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group
                2052-4463
                06 March 2018
                2018
                : 5
                : 180033
                Affiliations
                [1 ]Griffith Wildlife Disease Ecology Group, Environmental Futures Research Institute and School of Environment, Griffith University , Nathan, Queensland 4111, Australia
                [2 ]One Health Research Group, College of Public Health, Medical and Veterinary Sciences, James Cook University , Angus Smith Drive, Townsville, Queensland 4811, Australia
                [3 ]Genetics and Computational Biology, QIMR Berghofer Medical Research Institute , 300 Herston Road, Brisbane, Queensland 4006, Australia
                [4 ]School of Biomedical Sciences, The University of Queensland , Brisbane, Queensland 4072, Australia
                [5 ]Separation Science and Metabolomics Laboratory, Murdoch University , Perth, Western Australia 6150, Australia
                [6 ]Metabolomics Australia, Murdoch University Node, Murdoch University , Perth, Western Australia 6150, Australia
                [7 ]Fenner School of Environment and Society, Australian National University , Canberra, Australian Capital Territory 2601, Australia
                [8 ]Taronga Conservation Society Australia , Bradleys Head Road, Mosman, New South Wales 2088, Australia
                [9 ]Ecosystems and Threatened Species, South West Region, NSW Office of Environment and Heritage , Albury, New South Wales 2640, Australia
                Author notes
                [a ] L.F.G. (email: l.grogan@ 123456griffith.edu.au ).
                []

                L.F.G. conceived the research, conducted the clinical experiment and collected samples, conducted RNA extractions, conducted bioinformatics analyses, curated the data files, and wrote the manuscript. J.M. conducted bioinformatics analyses, curated the data files, and edited the manuscript. J.P.A.G. conducted metabolomics analyses, curated the data files, and edited the manuscript. B.C.S. provided contextual field knowledge and expertise, and edited the manuscript. L.B. conceived the research, and edited the manuscript. S.D.C. conceived the research, conducted the clinical experiment, and collected samples. M.S.M. provided advice and assistance with the captive husbandry components, and edited the manuscript. P.H. provided advice and assistance with the captive husbandry components, and edited the manuscript. D.A.H. provided contextual field knowledge and expertise, and edited the manuscript. R.D.T. conducted metabolomics analyses, and edited the manuscript. L.F.S. conceived the research, and edited the manuscript.

                Author information
                http://orcid.org/0000-0002-2553-7598
                http://orcid.org/0000-0002-3609-3398
                Article
                sdata201833
                10.1038/sdata.2018.33
                5839156
                29509187
                978e5c18-c78e-4230-8e2b-735615b26cc7
                Copyright © 2018, The Author(s)

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.

                History
                : 31 August 2017
                : 08 January 2018
                Categories
                Data Descriptor

                ecological epidemiology,transcriptomics,conservation biology,metabolomics,fungal infection

                Comments

                Comment on this article