Proteome metabolome and transcriptome data for three Symbiodiniaceae under ambient and heat stress conditions

Emma F. Camp; Tim Kahlke; Brandon Signal; Clinton A. Oakley; Adrian Lutz; Simon K. Davy; David J. Suggett; William P. Leggat

doi:10.1038/s41597-022-01258-w

Scientific Data (Apr 2022)

Proteome metabolome and transcriptome data for three Symbiodiniaceae under ambient and heat stress conditions

Emma F. Camp,
Tim Kahlke,
Brandon Signal,
Clinton A. Oakley,
Adrian Lutz,
Simon K. Davy,
David J. Suggett,
William P. Leggat

Affiliations

Emma F. Camp: Climate Change Cluster, University of Technology Sydney
Tim Kahlke: Climate Change Cluster, University of Technology Sydney
Brandon Signal: School of Medicine, College of Health and Medicine, University of Tasmania
Clinton A. Oakley: School of Biological Sciences, Victoria University of Wellington
Adrian Lutz: Metabolomics Australia, Bio21 Institute, The University of Melbourne
Simon K. Davy: School of Biological Sciences, Victoria University of Wellington
David J. Suggett: Climate Change Cluster, University of Technology Sydney
William P. Leggat: School of Environmental and Life Sciences, University of Newcastle

DOI: https://doi.org/10.1038/s41597-022-01258-w
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 10

Abstract

Read online

Measurement(s) RNA sequences and counts • Metabolite abundance • Protein abundance Technology Type(s) Illumina HiSeq. 2500 • QTOF MS system • Orbitrap Fusion Lumos Sample Characteristic - Organism Symbiodiniaceae Sample Characteristic - Environment In culture

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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