2022 Early Hearing Detection & Intervention Virtual Conference

March 13 - 15, 2022

<< BACK TO AGENDA

5/22/2018  |   10:15 AM - 10:30 AM   |  COMPARISON OF TRADITIONAL AND e DNA METABARCODING SAMPLING METHODS TO DETECT LOW ABUNDANCE SPECIES IN COMPLEX AQUATIC COMMUNITIES   |  430 B

COMPARISON OF TRADITIONAL AND e DNA METABARCODING SAMPLING METHODS TO DETECT LOW ABUNDANCE SPECIES IN COMPLEX AQUATIC COMMUNITIES

The detection of low abundance species, including aquatic invasive species (AIS), is critical for making informed management decisions. Environmental DNA (eDNA) methods have become a powerful tool for detecting an AIS by screening for species-specific barcodes. However, these assays may miss the detection of other AIS within eDNA samples due to their inherent specificity for a single species. Metabarcoding methods provide information on entire communities based on next-generation sequencing of all barcodes within an eDNA sample. To quantify species present at low abundance, we compared measures of fish community diversity and site occupancy based on eDNA metabarcoding to estimates based on traditional sampling methods used in fish community surveys. We collected 400 water samples from 8 lakes in Michigan. Extracted eDNAs from each water sample were used to amplify regions of the 16S and 12S rDNA loci using fish specific primers. Samples were sequenced on an Illumina MiSeq. Fish species present within each lake were identified by comparing the eDNA sequence data to a database of sequences from Michigan fish species. Our results suggest metabarcoding provides added value to surveys of fish community diversity.

  • Biodiversity
  • Fish
  • Genetics

Presentation:
This presentation has not yet been uploaded.

Handouts:
Handout is not Available

Transcripts:
CART transcripts are NOT YET available, but will be posted shortly after the conference


Presenters/Authors

Nicholas Sard (), Michigan State University, nicksard@gmail.com;


ASHA DISCLOSURE:

Financial -

Nonfinancial -

Seth Herbst (), Michigan Department of Natural Resources, HerbstS1@michigan.gov;


ASHA DISCLOSURE:

Financial -

Nonfinancial -

Genelle Uhrig (), University of Wisconsin-Milwaukee, genelleu@gmail.com;


ASHA DISCLOSURE:

Financial -

Nonfinancial -

Jeannette Kanefsky (), Michigan State University, kanefsk1@anr.msu.edu;


ASHA DISCLOSURE:

Financial -

Nonfinancial -

John Robinson (), Michigan State University, jdrob@msu.edu;


ASHA DISCLOSURE:

Financial -

Nonfinancial -

Kim Scribner (), Michigan State University, scribne3@msu.edu;


ASHA DISCLOSURE:

Financial -

Nonfinancial -