FNQR SuperSite, Daintree, Cow Bay, Daintree Discovery Centre – Global Malaise Program – Terrestrial Arthropod DNA Barcoding
The Global Malaise Program (GMP) is an international collaboration between the University of Guelph, Centre for Biodiversity Genomics (CBG) and international contributors (44 sites across 27 countries).
A single Malaise trap was deployed at the Daintree Discovery Centre at Cow Bay from September 2014 to August 2015 with samples collected on a weekly basis. A total of 50 samples were collected and sent to CBG in Guelph, Ontario, Canada for DNA barcoding.
At CBG, samples were accessioned and every other week of collection was chosen for analysis. Specimens were identified to order, labeled, and entered into an internal database. Specimen tissue (either a leg from large specimens or the entire voucher for small specimens) were arrayed into microplates and sent to the lab for DNA extraction and sequencing. All arthropods from samples selected for processing were barcoded, with the exception of a few very common species of Collembola, where only a few individuals from each trap sample were analyzed. Standard barcoding protocols (http://ccdb.ca/resources) were followed to recover the barcode region of cytochrome c oxidase subunit I (COI) gene. Barcoded specimens were assigned to an existing or new Barcode Index Number (BIN), a proxy for a formal Linnean species name. When a unique BIN was encountered (new BINs to the Barcode of Life Data Systems, BOLD (http://www.boldsystems.org), the voucher was retrieved from the specimen archive and photographed. All barcode sequences, specimen images and collateral data are stored online and the project is available in the ‘Global Malaise Program’ campaign on BOLD. Identifications were assigned by the BOLD-ID Engine where possible, allowing a preliminary species inventory to be completed for this location and facilitating comparisons among other samplings sites in GMP.
Barcoding data available from Barcode of Life Data Systems (http://www.boldsystems.org).
Daintree Discovery Centre GMP Project update July 2017 available here