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A Field-Deployable eDNA Metabarcoding Workflow Including De Novo Reference Assembly for Characterising Understudied
Jesse Erens1,2,3, Christopher Heine1, Stefan Lötters1,2
1Biogeography Department, Trier University, Trier, Germany.
Molecular Ecology Resources
|March 31, 2026
Summary
This study introduces a novel field method for biodiversity monitoring using DNA metabarcoding. It enables rapid, cost-effective ecological assessments by generating local reference data, crucial for understudied regions.
Area of Science:
- Molecular Ecology
- Biodiversity Monitoring
- Genomics
Background:
- Field-deployable DNA metabarcoding is limited by technical constraints and lack of reference data in understudied ecosystems.
- Environmental DNA (eDNA) metabarcoding requires robust reference libraries for accurate biodiversity assessments.
- Tropical regions, particularly those with limited resources, face significant data gaps in molecular biodiversity monitoring.
Purpose of the Study:
- To develop a field-deployable, PCR-free workflow for generating reference sequences from environmental DNA (eDNA).
- To enhance the accuracy and taxonomic resolution of eDNA metabarcoding in data-deficient ecosystems.
- To enable real-time, cost-effective molecular assessment of ecological communities in remote tropical regions.
Main Methods:
- Combined isothermal Recombinase Polymerase Amplification (RPA) with Oxford Nanopore sequencing for a two-step approach.
- Generated de novo reference sequence libraries from amphibian skin swab samples.
- Applied field-based eDNA metabarcoding coupled with offline assembly of a local reference database.
Main Results:
- The novel workflow significantly improved accuracy and species-level taxonomic resolution in eDNA sample analysis.
- Successfully characterized fine-scale patterns in amphibian community composition.
- Generated new RPA-compatible amphibian metabarcoding primers.
Conclusions:
- This approach bridges data gaps in molecular biodiversity monitoring, offering a scalable solution for data-deficient ecosystems.
- Facilitates broader deployment of molecular tools in biodiversity hotspots, especially in remote tropical regions.
- Provides critical baseline data to support conservation efforts in under-resourced areas.
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