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Updated: Mar 29, 2026

Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications
Published on: November 5, 2020
Accounting for Intra- and Intergenomic Sequence Variation in Reference Barcodes Improves eDNA Metabarcoding
Luke J McCartin1,2,3, Samuel A Vohsen1,2,3, Annemarie L Wood3
1Department of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania, USA.
Comprehensive DNA barcode reference databases significantly improve environmental DNA (eDNA) metabarcoding accuracy for biodiversity assessments. Including genomic variation enhances taxonomic resolution and reduces misclassifications, revealing more species.
Area of Science:
- Marine Biology
- Genomics
- Biodiversity Science
Background:
- Environmental DNA (eDNA) metabarcoding offers rapid biodiversity assessment but is hampered by incomplete reference databases.
- Accuracy is further challenged by intra- and interspecific DNA sequence variation.
Purpose of the Study:
- To evaluate the impact of comprehensive reference databases, including intragenomic and intergenomic variation, on eDNA biodiversity assessments.
- To improve the accuracy and resolution of eDNA metabarcoding for coral reef ecosystems.
Main Methods:
- Collected coral tissue and water samples for reference barcoding and eDNA metabarcoding.
- Utilized genome skimming to generate 28S barcodes from coral specimens.
- Incorporated local reference barcodes and analyzed intragenomic 28S lineages.
Main Results:
- Incorporating local reference barcodes improved ASV (Amplicon Sequence Variant) taxonomic classification, increasing genus-level resolution and correcting misclassifications.
- Excluding intragenomic variation led to unclassified ASVs, highlighting the importance of capturing this variation.
- Integrating reference genome skimming and eDNA metabarcoding significantly expanded known coral family richness, especially at greater depths.
- eDNA metabarcoding detected previously unknown coral families, demonstrating its utility for biodiversity discovery.
Conclusions:
- Incomplete reference databases lead to unclassified ASVs, false positives, and misclassifications in eDNA studies.
- Comprehensive reference databases that account for genomic variation are crucial for accurate eDNA-based biodiversity assessments.
- The integration of genome skimming and eDNA metabarcoding enhances biodiversity discovery, particularly in underexplored deep-sea environments.
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