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Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications
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Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications

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Making environmental DNA count.

Ryan P Kelly1

  • 1School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA.

Molecular Ecology Resources
|January 16, 2016
PubMed
Summary
This summary is machine-generated.

Environmental DNA (eDNA) sequence abundance correlates with species biomass, helping to quantify aquatic biodiversity. This study advances eDNA methods for ecological surveys.

Keywords:
community ecologyenvironmental DNAmesocosmmetabarcodingspecies diversity

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Area of Science:

  • Ecology
  • Molecular Biology
  • Environmental Science

Background:

  • Environmental DNA (eDNA) analysis allows species detection from water samples.
  • Adoption by ecologists is hindered by uncertainty linking DNA sequences to organism abundance.
  • Previous research focused on microbial communities, with less on 'macrobial' vertebrates.

Purpose of the Study:

  • To quantify the relationship between DNA sequence reads and species biomass in aquatic environments.
  • To assess the reliability of eDNA metabarcoding for estimating vertebrate abundance.
  • To address the 'how many' question in eDNA-based biodiversity assessments.

Main Methods:

  • Sampling of aquatic environments containing eight fish and one amphibian species.
  • Utilizing a molecular toolbox of six primer sets for eDNA sequencing.
  • Analyzing the correlation between recovered DNA sequence abundances and species biomass.

Main Results:

  • Detected all nine target vertebrate species using the developed molecular methods.
  • Consistently found a positive association between DNA sequence abundance and species biomass.
  • Observed variations in the strength and slope of this association across species and primer sets.

Conclusions:

  • eDNA sequence abundance is a reliable proxy for species biomass in aquatic vertebrates.
  • The study provides crucial data for developing quantitative eDNA monitoring techniques.
  • Advances the field towards robust, abundance-based eDNA biodiversity assessments.