MitoNGS: an online platform to analyze fish metabarcoding data in high-resolution Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1101/2025.09.29.679108
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 group" 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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.09.29.679108
- https://www.biorxiv.org/content/biorxiv/early/2025/09/30/2025.09.29.679108.full.pdf
- OA Status
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4414718692Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2025.09.29.679108Digital Object Identifier
- Title
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MitoNGS: an online platform to analyze fish metabarcoding data in high-resolutionWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-09-30Full publication date if available
- Authors
-
Tao Zhu, Yukuto Sato, Tsukasa Fukunaga, Masaki Miya, Wataru Iwasaki, Susumu YoshizawaList of authors in order
- Landing page
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https://doi.org/10.1101/2025.09.29.679108Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2025/09/30/2025.09.29.679108.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2025/09/30/2025.09.29.679108.full.pdfDirect OA link when available
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0Total citation count in OpenAlex
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