Author

Masaki U. Miya

Natural History Museum and InstituteORCID 0000-0002-9791-9886Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 2 Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Approach:experimental assay· 2 Research Focus:variant calling· 2 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

Masayuki UshioiD· 3 shared Hiroki YamanakaiD· 2 shared Hirotoshi SatoiD· 2 shared Satsuki TsujiiD· 2 shared Toshifumi MinamotoiD· 2 shared Atsushi MaruyamaiD· 1 shared Eszter MátraiiD· 1 shared Lindsay Porter· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersMolecular Biology

Masayuki UshioORCID

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4 papers

Recent·Most cited

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

Tao Zhu, Yukuto Sato, Tsukasa Fukunaga, Masaki U. Miya, Wataru Iwasaki, Susumu Yoshizawa

MitoNGS improves fish metabarcoding analysis by enhancing reference databases and introducing a species group strategy to resolve ambiguous taxa.

Molecular Biology and Evolution · Feb 16, 2026Peer-reviewedBioinformatics

μCeta: a set of cetacean-specific primers for environmental DNA metabarcoding with minimal amplification of non-target vertebrates

Masayuki Ushio, Sachie Ozawa, Shin‐ichiro Oka, Tetsuya Sado, Robinson O. Kisero, Lindsay Porter, Eszter Mátrai, Masaki U. Miya

The paper develops and validates μCeta, a cetacean-specific primer set for eDNA metabarcoding that minimizes non-target vertebrate amplification, successfully detecting Indo-Pacific humpback dolphin eDNA in Hong Kong waters.

bioRxiv · Mar 19, 2025 · PreprintEcology

Environmental DNA analysis shows high potential as a tool for estimating intraspecific genetic diversity in a wild fish population

Satsuki Tsuji, Atsushi Maruyama, Masaki U. Miya, Masayuki Ushio, Hirotoshi Sato, Toshifumi Minamoto, Hiroki Yamanaka

This study demonstrates that eDNA analysis can accurately detect haplotypes in wild fish populations, comparable to traditional capture-based methods.

Molecular Ecology Resources · Apr 15, 2020Peer-reviewedMolecular Biology

Evaluating intraspecific genetic diversity of a fish population using environmental DNA: An approach to distinguish true haplotypes from erroneous sequences

Satsuki Tsuji, Masaki U. Miya, Masayuki Ushio, Hirotoshi Sato, Toshifumi Minamoto, Hiroki Yamanaka

This study evaluates methods to reduce false positive haplotypes in eDNA sequencing data by combining denoising and low detection rate filtering.

bioRxiv · Jun 13, 2019 · PreprintMolecular Biology