Author

Midori Tuda

Kyushu UniversityORCID 0000-0001-8727-7181Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Julia FerrariiD· 1 shared Phyu Phyu San· 1 shared Ryosuke FujitaiD· 1 shared Xiangpeng GuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperEcology

Julia FerrariORCID

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2 papers

Recent·Most cited

EcologybioRxivPreprintNov 3, 2026

Combined elevated temperature and CO2 alter Wolbachia abundance and host fitness but not cytoplasmic incompatibility in a stored-product pest

Phyu Phyu San, Ryosuke Fujita, Julia Ferrari, Midori Tuda

This study examines how elevated temperature and CO2 affect Wolbachia abundance and host fitness in a stored-product pest, finding stable cytoplasmic incompatibility despite changes in Wolbachia dynamics.

DOI 10.64898/2026.11.01.763417

Drosophilaproteomics

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EcologybioRxivPreprintMar 7, 2026

Predicting life-history traits in a stored bean petst beetle Callosobruchus chinensis (Coleoptera: Chrysomelidae: Bruchinae) using machine learning

Xiangpeng Gu, Midori Tuda

This study uses machine learning to predict life-history traits of Callosobruchus chinensis, finding that elytral length and lifespan are more predictable than development time.

DOI 10.64898/2026.03.07.710260

C. elegansmachine learning (classical)

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