Author

T. Minamoto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 5

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 5 Assay:metagenomics· 5 Approach:experimental assay· 4 Organism:multiple species· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

M. Miya· 3 shared H. Doi· 2 shared H. Murakami· 2 shared H. Yamanaka· 2 shared M. K. Sakata· 2 shared M. Kondoh· 2 shared R. Masuda· 2 shared S. Yamamoto· 2 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersEcology

M. Miya

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5 papers

Recent·Most cited

Fish environmental DNA in lake sediment overcomes the gap of reconstructing past fauna in lake ecosystems

M. K. Sakata, N. Tsugeki, M. Kuwae, N. Ochi, K. Hayami, R. Osawa, T. Morimoto, T. Yasashimoto, D. Takeshita, H. Doi, T. Minamoto

This study uses sedimentary environmental DNA to track historical fish abundance in Lake Biwa, showing a correlation between eDNA concentration and fish catch data.

bioRxiv · Jun 16, 2022 · PreprintEcology

Development and evaluation of PCR primers for environmental DNA (eDNA) metabarcoding of Amphibia

M. K. Sakata, M. U. Kawata, A. Kurabayashi, T. Kurita, M. Nakamura, T. Shirako, R. kakehashi, K. Nishikawa, M. Y. Hossman, T. Nishijima, J. Kabamoto, M. Miya, T. Minamoto

The paper develops and evaluates PCR primers for eDNA metabarcoding of amphibians, finding that the Amph16S primer set detects twice as many species as physical surveys in agricultural ecosystems.

bioRxiv · Oct 29, 2021 · PreprintEcology

Effects of species traits and ecosystem characteristics on species detection by eDNA metabarcoding in lake fish communities

H. Doi, S. Matsuoka, S.-i. S. Matsuzaki, M. Nagano, H. Sato, H. Yamanaka, S. Matsuhashi, S. Yamamoto, T. Minamoto, H. Araki, K. Ikeda, A. Kato, K. Kumei, N. Maki, T. Mitsuzuka, , M. Miya

This study evaluates how species traits and ecosystem characteristics affect eDNA detection rates in lake fish communities across Japan.

bioRxiv · Sep 25, 2020 · PreprintEcology

Estimating fish population abundance by integrating quantitative data on environmental DNA and hydrodynamic modelling

K. Fukaya, H. Murakami, S. Yoon, K. Minami, Y. Osada, S. Yamamoto, R. Masuda, A. Kasai, K. Miyashita, T. Minamoto, M. Kondoh

The paper estimates fish population abundance by integrating environmental DNA data with hydrodynamic modeling, showing results comparable to echo sounder methods.

bioRxiv · Nov 30, 2018Ecology

Quantitative monitoring of multispecies fish environmental DNA using high-throughput sequencing

M. Ushio, H. Murakami, R. Masuda, T. Sado, M. Miya, S. Sakurai, H. Yamanaka, T. Minamoto, M. Kondoh

This study quantifies fish eDNA copy numbers using internal standards and high-throughput sequencing, showing strong correlation with qPCR and enabling efficient biodiversity monitoring.

bioRxiv · Dec 7, 2017Ecology