Microbial indicators of coral reef ecosystems

• Other Authors: AIMS Data Centre (distributor), AIMS Data Centre (pointOfContact), Australian Institute of Marine Science (AIMS) (hasAssociationWith), Webster, N and Bourne, D (hasPrincipalInvestigator)
• Format: Dataset
• Language: unknown
• Published: Australian Institute of Marine Science
• Subjects: oceans; Metagenomics; Gene Expression; Magnetic Island; Pioneer Bay
• Online Access: https://researchdata.edu.au/microbial-indicators-coral-reef-ecosystems/1968743

Maintenance and Update Frequency: notPlanned Statement: Samples (n = 3 per sample type per sampling event) for metagenome sequencing were collected and processed following the standard operating procedures of the Australian Marine Microbial Biodiversity Initiative (AMMBI). Credit Thomas, T. University of New South Wales (UNSW) Credit Glasl, B. Australian Institute of Marine Science (AIMS), James Cook University (JCU) and AIMS@JCU. Credit Frade, P.R. University of Algarve, Faro, Portugal Credit Bourne, D.G. (AIMS), (JCU) and AISM@JCU Credit Schaffelke, B. (AIMS) Credit Webster, N. (AIMS), AIMS@JCU and University of Queensland (UQ) Credit Robbins, S. (UQ) Credit Marangon E. (AIMS), (JCU) and AIMS@JCU Credit Laffy, PW. (AIMS) Metagenomic sequencing and 16S rRNA gene sequencing for 381 samples collected over the course of 16 months formed a new comprehensive microbial reference dataset of habitat specific coral reef microbiomes. Originating from samples derived from three locations: Geoffrey Bay, Magnetic Island, QLD (monthly samples) Pioneer Bay, Orpheus Island, QLD (periodic) Channel, Orpheus Island, QLD (periodic) The dataset consists of sequenced bacterial 16S rRNA genes of 381 samples including seawater, sediment, sponge tissue (Coscinoderma matthewsi and Amphimedon queenslandica), coral tissue and mucus (Acropora tenuis and Acropora millepora) and macroalgal surfaces (Sargassum sp.). Water quality parameters and sea surface temperatures were used to compare environmental sensitivity variation in assembly patterns. Results indicated that seawater microbial community data provide diagnostic value to infer shifts in the surrounding reef environment. Sample handling, tissue preparation, DNA extraction procedures and methods of analysis, have been described in associated publications listed below. Accessing the 16S rRNA and metagenome sequences, metadata and protocols are available at the Bioplatforms Australia data portal under the Australian Microbiome project ...