MitoNGS: an online platform to analyze fish metabarcoding data in high resolution
Tao Zhu, Yukuto Sato, Tsukasa Fukunaga, Masaki Miya, Wataru Iwasaki, Susumu Yoshizawa

TL;DR
MitoNGS is a new online platform that improves the accuracy of identifying fish species from environmental DNA data using advanced analysis methods.
Contribution
MitoNGS introduces a high-resolution pipeline with expanded reference databases and a 'species complex' strategy to resolve ambiguous taxa in fish metabarcoding.
Findings
MitoNGS improves species-level identification by using comprehensive references and habitat data.
The platform supports multiple mitochondrial markers and Nanopore sequencing.
MitoNGS performs well across diverse datasets and sequencing platforms.
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…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsEnvironmental DNA in Biodiversity Studies · Identification and Quantification in Food · Genomics and Phylogenetic Studies
