Marine biodiversity patterns in coastal Australian waters revealed by a three-year environmental DNA survey

• Other Authors: School of Biological Sciences (isManagedBy), Simon Jarman (Contact), Simon Jarman (Creator)
• Format: Dataset
• Language: unknown
• Published: The University of Western Australia
• Subjects: FOS: Biological sciences; Marine biodiversity; DNA metabarcoding; zooplankton; Environmental DNA Barcoding; Queensland; Saunders; Mathew; Megaptera novaeangliae
• Online Access: https://researchdata.edu.au/marine-biodiversity-patterns-dna-survey/2024687; https://doi.org/10.5061/dryad.931zcrjns

External Organisations Curtin University; University of Queensland; Commonwealth Scientific & Industrial Research Organisation Associated Persons Tina E. Berry (Creator); Megan Coghlan (Creator); Benjamin J. Saunders (Creator); Anthony Richardson (Creator); Mathew Power (Creator); Euan Harvey (Creator); Oliver Berry (Creator); Claire H. Davies (Creator); Michael Bunce (Creator) Aim To test the capacity of eDNA to characterise the spatial and seasonal patterns found within a range of zooplankton communities, and investigate links with concurrent abiotic data collected as part of Australia’s Integrated Marine Observing System (IMOS) programme. Location Samples were sourced seasonally for three years from nine Pan-Australian marine sites (n=90). Methods Here we apply a multi-assay metabarcoding approach to environmental DNA extracted from a rare long-term collection of bulk plankton samples. Six assays (targeting both the 16SrRNA and COI genes) were used to amplify and sequence the zooplankton diversity found within each sample. The data generated from each assay was filtered and clustered into OTUs prior to analysis. Abiotic IMOS data collected alongside the plankton collection enabled us to explore the physical and chemical drivers of community composition. Results The eDNA metabarcoding generated over 25 million sequences, identified in excess of 500 distinct taxa and detected clear spatial differences in marine metazoan communities. We found that site and sea surface temperature are the most consistent predictors of differences between zooplankton communities. We detected endangered and invasive species such as the bryozoan Membranipora membranace and the mollusc Maoricolpus roseus, and seasonal occurrences of species such as humpback whales (Megaptera novaeangliae). We also estimated the number of samples required to ensure robust marine eDNA metabarcoding biomonitoring programs into the future. Main Conclusion Our results demonstrate the ability of eDNA to capture and map zooplankton community changes ...