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Related Experiment Video

Updated: Jul 3, 2025

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
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Enhancing amphibian biomonitoring through eDNA metabarcoding.

Yawen Mu1,2, Jingwen Zhang1, Jianghua Yang1,3

  • 1State Key Laboratory of Pollution Control & Resource, School of the Environment, Nanjing University, Nanjing, China.

Molecular Ecology Resources
|February 12, 2024
PubMed
Summary

Environmental DNA (eDNA) metabarcoding offers a powerful, non-invasive method for surveying biodiversity, especially rare amphibians. This study establishes a reliable pipeline, identifying Am250 as an optimal primer for amphibian eDNA monitoring.

Keywords:
amphibianbiodiversitybiomonitoringenvironmental DNAuniversal primers

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Area of Science:

  • Ecology
  • Genetics
  • Conservation Biology

Background:

  • Biodiversity surveying is enhanced by environmental DNA (eDNA) metabarcoding, valued for efficiency and sensitivity.
  • This technique is crucial for monitoring elusive species, including rare and endangered amphibians.

Purpose of the Study:

  • To establish a robust metabarcoding pipeline for amphibian monitoring.
  • To evaluate primer performance for eDNA-based amphibian detection.

Main Methods:

  • Primer design and in silico PCR simulation.
  • Laboratory validation using target DNA amplification.
  • Field validation through mesocosm experiments.

Main Results:

  • The Am250 primer, targeting the mitochondrial 16S gene, showed superior performance in taxonomic resolution and detection ability.
  • Am250 achieved an 83.8% species amplification rate and 75.4% accurate identification for Chinese amphibians in silico.
  • eDNA detection persisted for weeks post-organism removal in mesocosms, with primer read abundance influencing biomass estimation.

Conclusions:

  • A comprehensive framework involving in silico, in vitro, and mesocosm validation is essential for selecting optimal eDNA metabarcoding primers.
  • Primer selection strategy should be tailored to monitoring groups to maximize species detection and result credibility.