Plant BiologybioRxivPreprint
Metabolome genome-wide association study reveals hierarchical and epistatic genetic control of flavonoid metabolism in soybean
Taisei Hatta, Kosuke Hamazaki, Yushiro Fuji…·Hiroyoshi Iwata
DOI 10.64898/2026.07.23.739694
Author
Yoshihiro Ohmori
The University of TokyoORCID 0000-0002-8649-5061Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
Click to filter author papersSignature Assays, Organisms & Methods
Click to filter · or open tagActivity by Year
2023-2026 · peak 4/yrCo-Author Collaboration Network
10 top collaborators · 45 mutual co-author linksFocal author (center)Selected co-authorORCID co-authorUnlinked name
Curved chords = mutual co-authorship6 papers
Recent·Most cited
- BioinformaticsTheoretical and Applied GeneticsPeer-reviewed
Integration of Proxy Intermediate Omics traits into a Nonlinear Two-Step model for accurate phenotypic prediction
Hayato Yoshioka, Tristan Mary‐Huard, Julie Aubert…·Hiroyoshi Iwata
The paper proposes a nonlinear two-step model integrating proxy intermediate omics traits to improve phenotypic prediction in soybean, showing better accuracy than linear models.
2 citationstop 4% - GenomicsbioRxivPreprint
Conserved statistical organization of cis-regulatory landscapes defines a fluctuation-structured regulatory phase
The paper analyzes cis-regulatory landscapes in rice and Arabidopsis to show conserved statistical organization defines a regulatory phase, independent of individual elements.
DOI 10.64898/2026.02.06.704399 - GenomicsbioRxivPreprint
Gene-centered identification of cis-regulatory islands reveals regulatory landscapes complementary to motif-centric approaches
The paper introduces a TF-independent method to identify cis-regulatory islands in plant genes, showing they reveal regulatory patterns not captured by motif-centric approaches.
- Plant BiologyPlant PhenomicsPeer-reviewed
High-throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models
Mashiro Okada, Clément Barras, Yusuke Toda…·Hiroyoshi Iwata
This study uses UAV remote sensing and deep learning to estimate soybean biomass traits and extract latent features for breeding applications.
33 citationstop 2% - GeneticsbioRxivPreprint
Evaluating drought tolerance stability in soybean by theresponse of irrigation change captured from time-seriesmultispectral data
Kengo Sakurai, Yusuke Toda, Kosuke Hamazaki…·Hiroyoshi Iwata
This study evaluates drought tolerance stability in soybean using time-series multispectral data and genomic prediction models, finding higher accuracy with changing irrigation treatments.
DOI 10.1101/2023.04.05.535659