We’re sorry, but GBIF doesn’t work properly without JavaScript enabled.
Our website has detected that you are using an outdated insecure browser that will prevent you from using the site. We suggest you upgrade to a modern browser.
{{nav.loginGreeting}}
  • Get data
      • Occurrences
      • GBIF API
      • Species
      • Datasets
      • Occurrence snapshots
      • Hosted portals
      • Trends
  • How-to
    • Share data

      • Quick-start guide
      • Dataset classes
      • Data hosting
      • Standards
      • Become a publisher
      • Data quality
      • Data papers
    • Use data

      • Featured data use
      • Citation guidelines
      • GBIF citations
      • Citation widget
  • Tools
    • Publishing

      • IPT
      • Data validator
      • Scientific Collections
      • Suggest a dataset
      • New data model ⭐️
    • Data access and use

      • Hosted portals
      • Data processing
      • Derived datasets
      • rgbif
      • pygbif
      • MAXENT
      • Tools catalogue
    • GBIF labs

      • Species matching
      • Name parser
      • Sequence ID
      • Relative observation trends
      • GBIF data blog
  • Community
    • Network

      • Participant network
      • Nodes
      • Publishers
      • Network contacts
      • Community forum
      • alliance for biodiversity knowledge
    • Volunteers

      • Mentors
      • Ambassadors
      • Translators
      • Citizen scientists
    • Activities

      • Capacity enhancement
      • Programmes & projects
      • Training and learning resources
      • Data Use Club
      • Living Atlases
  • About
    • Inside GBIF

      • What is GBIF?
      • Become a member
      • Governance
      • Implementation plan
      • Work Programme
      • Funders
      • Partnerships
      • Release notes
      • Contacts
    • News & outreach

      • News
      • Newsletters and lists
      • Events
      • Ebbe Nielsen Challenge
      • Graduate Researchers Award
      • Science Review
      • Data use
  • User profile

Microbial metabarcoding surveys (Bacteria, Archaea and Eukaryota) of the arctic marine environment

Citation

Collins E, Sweetlove M (2019). Microbial metabarcoding surveys (Bacteria, Archaea and Eukaryota) of the arctic marine environment. SCAR - Microbial Antarctic Resource System. Metadata dataset https://doi.org/10.15468/mx3u6c accessed via GBIF.org on 2023-01-27.

Description

Large amplicon sequencing dataset (Illumina MiSeq) targeting Bacteria/Archaea (16S ssu rRNA gene) and Eukaryota (18S ssu rRNA gene) from samples taken in the Arctic marine environment, following the Earth Microbiome Project protocol.

Taxonomic Coverages

Eukaryotes in marine environments, profiled by sequencing the v4 region of the 18S ssu rRNA gene, using the primer set published by Stoeck et al. (doi:10.1111/j.1365-294X.2009.04480.x) TAReuk454FWD1 CCAGCASCYGCGGTAATTCC TAReukREV3_modified ACTTTCGTTCTTGATYRATGA
  1. Eukaryota
    common name: Eukaryotes rank: domain
Bacteria and Archaea in marine environments, profiled by sequencing the v4 region of the 16S ssu rRNA gene, using the primer set published by Apprill et al. (doi:10.3354/ame01753) 515F GTGCCAGCMGCCGCGGTAA 806RB GGACTACNVGGGTWTCTAAT
  1. Bacteria
    common name: Bacteria rank: domain
  2. Archaea
    common name: Archaea rank: domain

Geographic Coverages

Complete coverage of the Arctic marine environments.

Bibliographic Citations

Contacts

Eric Collins
originator
position: Assistant professor
College of Fisheries and Ocean Sciences
Fairbanks
US
email: recollins@alaska.edu
Maxime Sweetlove
metadata author
position: Research assistant
Royal Belgian Institute of Natural Sciences
Rue Vautier 29
Brussels
1000
BE
email: msweetlove@naturalsciences.be
Eric Collins
administrative point of contact
position: Assistant professor
College of Fisheries and Ocean Sciences
Fairbanks
US
email: recollins@alaska.edu
What is GBIF? API FAQ Newsletter Privacy Terms and agreements Citation Code of Conduct Acknowledgements
Contact GBIF Secretariat Universitetsparken 15 DK-2100 Copenhagen Ø Denmark