Data Descriptor: Systematic, continental scale temporal monitoring of marine pelagic microbiota by the Australian Marine Microbial Biodiversity Initiative

Mark V. Brown, Jodie Van De Kamp, Martin Ostrowski, Justin R. Seymour, Tim Ingleton, Lauren F. Messer, Thomas Jeffries, Nahshon Siboni, Bonnie Laverock, Jaume Bibiloni-Isaksson, Tiffanie M. Nelson, Frank Coman, Claire H. Davies, Dion Frampton, Mark Rayner, Kirianne Goossen, Stan Robert, Bronwyn Holmes, Guy C.J. Abell, Pascal CrawTim Kahlke, Swan Li San Sow, Kirsty McAllister, Jonathan Windsor, Michele Skuza, Ryan Crossing, Nicole Patten, Paul Malthouse, Paul D. Van Ruth, Ian Paulsen, Jed A. Fuhrman, Anthony Richardson, Jason Koval, Andrew Bissett, Anna Fitzgerald, Tim Moltmann, Levente Bodrossy

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Sustained observations of microbial dynamics are rare, especially in southern hemisphere waters. The Australian Marine Microbial Biodiversity Initiative (AMMBI) provides methodologically standardized, continental scale, temporal phylogenetic amplicon sequencing data describing Bacteria, Archaea and microbial Eukarya assemblages. Sequence data is linked to extensive physical, biological and chemical oceanographic contextual information. Samples are collected monthly to seasonally from multiple depths at seven sites: Darwin Harbour (Northern Territory), Yongala (Queensland), North Stradbroke Island (Queensland), Port Hacking (New South Wales), Maria Island (Tasmania), Kangaroo Island (South Australia), Rottnest Island (Western Australia). These sites span ~30° of latitude and ~38° longitude, range from tropical to cold temperate zones, and are influenced by both local and globally significant oceanographic and climatic features. All sequence datasets are provided in both raw and processed fashion. Currently 952 samples are publically available for bacteria and archaea which include 88,951,761 bacterial (72,435 unique) and 70,463,079 archaeal (24,205 unique) 16 S rRNA v1-3 gene sequences, and 388 samples are available for eukaryotes which include 39,801,050 (78,463 unique) 18 S rRNA v4 gene sequences.

Original languageEnglish
Article number180130
JournalScientific data
Volume5
DOIs
StatePublished - 17 Jul 2018
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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