Author

Kyoko Watanabe

Tamagawa UniversityORCID 0000-0002-7759-7701Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Kyoko Watanabe1 paper · Tokyo Medical and Dental University

Biology Disciplines

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Molecular Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:fungi (other)· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aniway F. Penalosa· 2 shared Sherman M. Chavez· 2 shared Keiko Uchida· 1 shared Mike Andre C. Malonzo· 1 shared Reynaldo R. Valle· 1 shared S. Nozawa· 1 shared Shunsuke NozawaiD· 1 shared Shunsuke NozawaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersMolecular Biology

Aniway F. Penalosa

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Occurrence of Nigrospora spp. as the predominant causal agents of leaf spot disease in Cavendish banana in banana plantations in Mindanao Island, Philippines

Shunsuke Nozawa, Yui Harada, Yoshiki Takata, Keiko Uchida, Mike Andre C. Malonzo, Reynaldo R. Valle, Sherman M. Chavez, Aniway F. Penalosa, Kyoko Watanabe

The paper identifies Nigrospora spp. as the main causal agents of leaf spot disease in Cavendish bananas in Mindanao, Philippines, contradicting previous assumptions about Black sigatoka disease.

Scientific Reports · Mar 8, 2026Peer-reviewedMolecular Biology

PCR-based specific detection of multiple Nigrospora species causing a banana leaf spot disease

Shunsuke Nozawa, Sherman M. Chavez, Aniway F. Penalosa, Kyoko Watanabe

This study develops a PCR-based method to specifically detect multiple Nigrospora species causing banana leaf spot disease, showing high specificity and sensitivity across diverse isolates.

bioRxiv · Nov 30, 2025 · PreprintMolecular Biology

ANI-netID: a genome similarity-network based biological identification system

S. Nozawa, Kyoko Watanabe

ANI-netID identifies fungal species by determining clique groups based on nucleotide similarity, addressing issues with traditional threshold-based methods.

bioRxiv · Apr 19, 2025 · PreprintMicrobiology