Author

Tatsuhiko Hoshino

Japan Agency for Marine-Earth Science and Technology

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· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1

Frequent Co-Authors

Fumio InagakiiD· 2 shared Atsuhiro Sakuma· 1 shared Hideyuki DoiiD· 1 shared Masafumi MurayamaiD· 1 shared Rei KajitaniiD· 1 shared Saki Toyama· 1 shared Takehiko Ito· 1 shared Wataru TanikawaiD· 1 shared

Activity by Year

2017-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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2 shared papersEcology

Fumio InagakiORCID

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3 papers

Recent·Most cited

EcologybioRxivPreprintNov 19, 2025

Linking sediment porosity to taxon-specific patterns of eDNA preservation in a temperate, semi-enclosed bay

Tatsuhiko Hoshino, Saki Toyama, Wataru Tanikawa, Masafumi Murayama

The paper examines how sediment porosity affects taxon-specific eDNA preservation in a temperate bay, finding contrasting preservation patterns across different phyla.

1 citation

metagenomicsstatistical model

𝕏 PostBluesky

EcologybioRxivPreprintNov 18, 2025

Evolutionary stasis and homogeneous selection structure microbial communities in the deep subseafloor sedimentary biosphere

Tatsuhiko Hoshino, Atsuhiro Sakuma, Rei Kajitani…·Fumio Inagaki

This study analyzes microbial communities in deep subseafloor sediments, finding evolutionary stasis driven by homogeneous selection and environmental stability over 480 kyr.

DOI 10.1101/2025.11.18.689030

metagenomicsexperimental assay

𝕏 PostBluesky

MicrobiologyPLOS ONEPeer-reviewedJan 4, 2017

Application of the stochastic labeling methods with random-sequence barcodes for simultaneous quantification and sequencing of environmental 16S rRNA genes

Tatsuhiko Hoshino, Fumio Inagaki

This paper introduces qSeq, a method that enables simultaneous sequencing and quantification of environmental 16S rRNA genes using stochastic labeling with random-sequence barcodes, achieving accurate copy number estimation comparable to digital PCR.

DOI 10.1371/journal.pone.0169431

metagenomicsdeep learning

𝕏 PostBluesky