Development of an Environmental Metagenetics Approach for Monitoring Aquatic Biodiversity

Abstract

Our overall hypothesis is that genetic-based approaches are more accurate than existing methods in estimating species richness because they are more sensitive in the detection of rare species, whether invasive, threatened, or endangered. Our project was divided into five tasks. Task 1: Develop aquatic environmental DNA (eDNA) metagenetic assays for fishes and amphibians using ultrasequencing and validated for selected species with quantitative real time PCR (qPCR). Task 2: Test the assays on artificial aquatic mesocosm-scale assemblages of known species richness and diversity. Task 3: Test the assays in natural environments whose species richness has been thoroughly evaluated by traditional methods. Task 4: Apply the assays to natural environments with unknown species richness at different spatial scales, for comparison with traditional methods for estimating species richness. Task 5: Apply and compare alternative models for estimating species richness and biodiversity across a variety of aquatic systems. To accomplish these objectives, we developed and applied a new metagenetic toolbox of PCR primers based on multiple mitochondrial loci for the detection via sequencing of freshwater fish and amphibian species richness. By applying these tools to experimental and natural systems we demonstrated that eDNA methods entail much less sampling effort than traditional methods while providing more sensitive estimates of species presence. Therefore, eDNA yielded higher and likely more accurate estimates of species richness than traditional methods.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2017
Accession Number
AD1073430

Entities

People

  • Brett Olds
  • Christopher Jerde
  • David Lodge
  • Gary A. Lamberti
  • Kristy Deiner
  • Mark Renshaw
  • Michael E. Pfrender
  • Nathan Evans
  • Yiyuan Li

Organizations

  • University of Notre Dame

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Cells
  • Eutrophication
  • Fish
  • Habitats
  • Health Services
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Aquatic Ecology
  • Distributed Systems and Data Platform Development
  • Molecular Genetics

Technology Areas

  • Biotechnology