A novel taxonomic database for eukaryotic mitochondrial cytochrome oxidase subunit I gene (eKOI), with a focus on protists diversity

Metabarcoding has emerged as a robust method for assessing biodiversity patterns by retrieving environmental DNA directly from ecosystems. While the 18S rRNA gene is the primary genetic marker used for broad eukaryotic metabarcoding, it has limitations in resolving lower taxonomic levels. A potential alternative is the mitochondrial cytochrome oxidase subunit I (COI) gene because it offers resolution at the species level. However, the COI gene lacks a comprehensive, curated taxonomically informed database including protists. To address this gap, we introduce eKOI, a novel, curated COI gene database designed to enhance the taxonomic annotation for protists that can be used for COI-based metabarcoding. eKOI integrates data from GenBank and mitochondrial genomes, followed by extensive manual curation to eliminate redundancies and contaminants, recovering 15 947 sequences within 80 eukaryotic phyla. We validated the use of eKOI by reannotating several COI metabarcoding datasets, revealing previously unidentified protist biodiversity and demonstrating the database utility for community-level analyses.

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Database
Published
2025-01-01
DOI
https://doi.org/10.1093/database/baaf057
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel taxonomic database for eukaryotic mitochondrial cytochrome oxidase subunit I gene (eKOI), with a focus on protists diversity

Rubén González‐Miguéns, Margarita Skamnelou, Daniel J. Richter, Enrique Lara et al.
Database
Environmental DNA in Biodiversity Studies
article

A novel taxonomic database for eukaryotic mitochondrial cytochrome oxidase subunit I gene (eKOI), with a focus on protists diversity

Rubén González‐Miguéns, Margarita Skamnelou, Daniel J. Richter, Enrique Lara, Iñaki Ruiz‐Trillo, Elena Casacuberta, Daniel Vaulot, Meritxell Antó, Javier del Campo, Àlex Gàlvez-Morante
article en

Abstract

Metabarcoding has emerged as a robust method for assessing biodiversity patterns by retrieving environmental DNA directly from ecosystems. While the 18S rRNA gene is the primary genetic marker used for broad eukaryotic metabarcoding, it has limitations in resolving lower taxonomic levels. A potential alternative is the mitochondrial cytochrome oxidase subunit I (COI) gene because it offers resolution at the species level. However, the COI gene lacks a comprehensive, curated taxonomically informed database including protists. To address this gap, we introduce eKOI, a novel, curated COI gene database designed to enhance the taxonomic annotation for protists that can be used for COI-based metabarcoding. eKOI integrates data from GenBank and mitochondrial genomes, followed by extensive manual curation to eliminate redundancies and contaminants, recovering 15 947 sequences within 80 eukaryotic phyla. We validated the use of eKOI by reannotating several COI metabarcoding datasets, revealing previously unidentified protist biodiversity and demonstrating the database utility for community-level analyses.

DatabaseVol. 2025
Institució Catalana de Recerca i Estudis Avançats (ES), Centre National de la Recherche Scientifique (FR), Universitat Pompeu Fabra (ES), University of Oslo (NO), Station Biologique de Roscoff (FR), Sorbonne Université (FR), Adaptation et Diversité en Milieu Marin (FR), Institut de Biologia Evolutiva (ES), Real Jardín Botánico (ES)
European Commission, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Openalex Percentile: Top 75%
Environmental DNA in Biodiversity Studies
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