MitoNGS: an online platform to analyze fish metabarcoding data in high resolution

Environmental DNA (eDNA) metabarcoding has become a powerful tool for assessing fish biodiversity in aquatic ecosystems. However, accurate species-level identification remains challenging due to incomplete and contaminated reference databases, as well as ambiguous taxa sharing identical barcode sequences. Here, we present MitoNGS, a next-generation platform that succeeds the widely used MiFish pipeline, designed for high-resolution analysis of fish metabarcoding data. MitoNGS addresses these challenges by incorporating more comprehensive references including non-fish species and detailed annotations of heterospecific regions. Additionally, it introduces the "species complex" strategy in conjunction with environmental habitat and geographic occurrence data to resolve ambiguous taxa. Furthermore, MitoNGS expands the functionalities of the legacy MiFish pipeline. It can analyze data from any mitochondrial markers and from Nanopore sequencing platforms. MitoNGS demonstrated excellent performance on our testing datasets from diverse locations, markers, and sequencing platforms. MitoNGS offers a user-friendly, web-based solution for fish detection, biodiversity monitoring, conservation research, and bioresource management. MitoNGS is freely available via https://mitofish.aori.u-tokyo.ac.jp/mito-ngs.

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Publication Details

Journal
Molecular Biology and Evolution
Published
2026-02-16
DOI
https://doi.org/10.1093/molbev/msag046
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

MitoNGS: an online platform to analyze fish metabarcoding data in high resolution

Masaki Miya, Tao Zhu, Tsukasa Fukunaga, Yukuto Sato et al.
Molecular Biology and Evolution
Environmental DNA in Biodiversity Studies
article

MitoNGS: an online platform to analyze fish metabarcoding data in high resolution

Masaki Miya, Tao Zhu, Tsukasa Fukunaga, Yukuto Sato, Susumu Yoshizawa, Wataru Iwasaki
article en

Abstract

Environmental DNA (eDNA) metabarcoding has become a powerful tool for assessing fish biodiversity in aquatic ecosystems. However, accurate species-level identification remains challenging due to incomplete and contaminated reference databases, as well as ambiguous taxa sharing identical barcode sequences. Here, we present MitoNGS, a next-generation platform that succeeds the widely used MiFish pipeline, designed for high-resolution analysis of fish metabarcoding data. MitoNGS addresses these challenges by incorporating more comprehensive references including non-fish species and detailed annotations of heterospecific regions. Additionally, it introduces the "species complex" strategy in conjunction with environmental habitat and geographic occurrence data to resolve ambiguous taxa. Furthermore, MitoNGS expands the functionalities of the legacy MiFish pipeline. It can analyze data from any mitochondrial markers and from Nanopore sequencing platforms. MitoNGS demonstrated excellent performance on our testing datasets from diverse locations, markers, and sequencing platforms. MitoNGS offers a user-friendly, web-based solution for fish detection, biodiversity monitoring, conservation research, and bioresource management. MitoNGS is freely available via https://mitofish.aori.u-tokyo.ac.jp/mito-ngs.

Molecular Biology and EvolutionVol. 43(3)
Waseda University (JP), Keio University (JP), University of the Ryukyus (JP), Sphere Institute (US), The University of Tokyo (JP)
Ministry of Education, Culture, Sports, Science and Technology, University of Tokyo
Life in Land
Openalex Percentile: Top 57%
Environmental DNA in Biodiversity Studies
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