Author

Masahiro Takeo

University of HyogoORCID 0000-0002-4458-2941Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Research Focus:clustering· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

Hidehiro IshizawaiD· 2 shared Daisuke InoueiD· 1 shared Hiroyuki FutamataiD· 1 shared Kodai Kimura· 1 shared Michihiko IkeiD· 1 shared Miki Furuya· 1 shared Miku Kito· 1 shared Nanoka Yoshida· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

Hidehiro IshizawaORCID

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2 papers

Recent·Most cited

Competition-induced metabolic switching governs the interaction network in plant microbiome assembly

Hidehiro Ishizawa, Rikuya Umemoto, Nanoka Yoshida, Miki Furuya, Yosuke Tashiro, Daisuke Inoue, Michihiko Ike, Masahiro Takeo, Hiroyuki Futamata

The paper shows that competition-induced metabolic switching drives microbial interactions in plant microbiomes, with strains switching substrates during competition to dominate the inhibitory interaction network.

bioRxiv · Jan 27, 2026 · PreprintMicrobiology

Decoding emergent properties of microbial community functions through sub-community observations and interpretable machine learning

Hidehiro Ishizawa, Sunao Noguchi, Miku Kito, Yuichiro Nomura, Kodai Kimura, Masahiro Takeo

This study uses sub-community analysis and machine learning to predict and interpret microbial community functions, showing that small sub-communities can predict larger community functions.

The ISME Journal · Jan 1, 2025Peer-reviewedMicrobiology