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MARES, a replicable pipeline and curated reference database for marine eukaryote metabarcoding.

Vanessa Arranz1, William S Pearman2, J David Aguirre2

  • 1School of Natural and Computational Sciences, Massey University Auckland, Albany, Auckland, 0745, New Zealand. vanearranz@hotmail.com.

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|July 5, 2020
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Summary

We developed the Marine Eukaryote Species (MARES) database to improve DNA metabarcoding. This comprehensive COI reference database enhances marine biodiversity assessments and enables better data comparison across studies.

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Area of Science:

  • Marine Biology
  • Genomics
  • Bioinformatics

Background:

  • DNA metabarcoding is crucial for biodiversity assessment.
  • Accurate taxonomic identification relies on high-quality reference databases.
  • Current custom databases limit reusability and cross-study comparisons.

Purpose of the Study:

  • To introduce the MARine Eukaryote Species (MARES) database.
  • To provide a standardized, reproducible pipeline for creating marine reference databases.
  • To enhance the accuracy and comparability of marine metabarcoding studies.

Main Methods:

  • Compiled all marine COI sequences from GenBank and BOLD.
  • Developed a transparent and reproducible data curation and unification pipeline.
  • Standardized taxonomic identifiers and formatted data for assignment tools.

Main Results:

  • Created the MARES database, a comprehensive COI reference dataset for marine eukaryotes.
  • The pipeline ensures data quality, synonymization, and tool compatibility.
  • Established a benchmark for marine eukaryotic reference databases.

Conclusions:

  • MARES provides a valuable resource for marine DNA metabarcoding.
  • The standardized pipeline facilitates database re-use and comparability.
  • This work advances accurate biodiversity assessment in marine ecosystems.