Great Lakes DNA Barcode Reference Library: Mollusca, Annelida, and Minor Phyla

Session: 59. - Innovative Monitoring across the Great Lakes

Susan Daniel, Buffalo State College, Great Lakes Center, danielse@buffalostate.edu
Lyubov Burlakova, Great Lakes Center at SUNY Buffalo State , burlakle@buffalostate.edu
Alexander Karatayev, Great Lakes Center at SUNY Buffalo State, karataay@buffalostate.edu
Knut Mehler, Great Lakes Center at SUNY Buffalo State, mehlerk@buffalostate.edu
Paul Hebert, Centre for Biodiversity Genomics, University of Guelph, phebert@uoguelph.ca
Michael Pfrender, Department of Biological Sciences & Environmental Change Initiative, University of Notre Dame, Michael.Pfrender.1@nd.edu
David Lodge, Cornell University, dml356@cornell.edu
Anett Trebitz, EPA, Trebitz.Anett@epa.gov

Abstract

In recent years, the research and development of DNA-based tools has improved both their sensitivity and costs. This technology has the potential to be useful in the early detection of aquatic invasive species, and can increase the scope of surveillance compared with traditional sampling approaches. The development of more complete species-specific libraries of DNA signatures is an essential step to enable more taxonomically rich and spatially extensive species surveillance and monitoring programs in the Laurentian Great Lakes. The Great Lakes Center at SUNY Buffalo State aims to expand the taxonomic coverage of The Barcode of Life Database (BOLD) DNA barcoding reference library and has assembled a large collaborative team including leading barcoding and taxonomic experts for a wide diversity of targeted taxa. By preliminary estimations, over 80% of Annelida, 50% of Mollusca, and 70% of other taxa (Bryozoa, Cnidaria, Kamptozoa, Nematomorpha, Nemertea, Platyhelminthes, and Porifera) known from the Great Lakes lack catalogued barcodes. In 2017-2019 we are planning to collect and identify 190 species and extract genetic material for barcoding. Sample collection has already begun in the profundal zones of Great Lakes, nearshore zones of Huron and Ontario, and inland lakes and streams. 

1. Keyword
benthos

2. Keyword
biological invasions

3. Keyword
genetics

4. Additional Keyword
DNA Barcode

5. Additional Keyword
Taxonomy