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Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications
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Creating, curating and evaluating a mitogenomic reference database to improve regional species identification using

Emily Dziedzic1, Brian Sidlauskas1, Richard Cronn2

  • 1Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Corvallis, Oregon, USA.

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Summary

Creating regional fish mitogenome databases enhances biodiversity monitoring. Complete mitogenomic sequences are more effective than short DNA barcodes for species identification in environmental DNA (eDNA) studies.

Keywords:
eDNAenvironmental DNAenvironmental genomicsmtDNAreference sequence database

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Area of Science:

  • Genomics
  • Biodiversity Monitoring
  • Ichthyology

Background:

  • Environmental DNA (eDNA) is a powerful tool for biodiversity assessment, but its effectiveness is limited by the availability of regional genomic sequence data.
  • Existing eDNA studies often rely on short mitochondrial DNA 'barcode' regions, which may not provide sufficient resolution for accurate species identification.
  • A lack of comprehensive, vouchered genomic databases, particularly those including intraspecific variation, hinders the application of eDNA for conservation and management.

Purpose of the Study:

  • To establish the Oregon Biodiversity Genome Project, aiming to create a comprehensive database of fish mitogenomes for Oregon.
  • To evaluate the taxonomic informativeness of different regions within the mitogenome for species identification.
  • To provide a framework for developing more robust eDNA assays and future environmental genomics methods.

Main Methods:

  • Assembled complete mitogenomes from 313 specimens of freshwater, anadromous, and estuarine fishes from Oregon.
  • Represented 129 species and lineages across 24 families and 55 genera.
  • Conducted comparative analyses of mitogenomic sequences to assess taxonomic resolution.

Main Results:

  • Successfully generated a database of high-quality, complete mitogenomes for a significant portion of Oregon's fish diversity.
  • Demonstrated that various regions of the mitogenome are taxonomically informative.
  • Found that short mitochondrial 'barcode' regions (~150 bp) are insufficient for consistent species-level discrimination in this region.

Conclusions:

  • Complete or multi-gene mitogenomic sequences are preferable to short barcodes for accurate identification of Oregon's fishes using eDNA.
  • The Oregon Biodiversity Genome Project provides a model for building regional genomic databases to support biodiversity monitoring.
  • This work highlights the utility and limitations of current eDNA approaches and informs the development of next-generation genomic tools.