Keywords: paralog processing, ascorbate, deep learning, Arabidopsis

Latest 21 Papers

Deep learning of fossil pollen morphology reveals 25,000 years of ecological change in East African grasslands

Authors: Adaime, M.-E., Kong, S., Urban, M. A., Street-Perrott, F. A., Verschuren, D., Punyasena, S. W.

Date: 2026-01-22 · Version: 3

DOI: 10.1101/2024.09.23.612957

Model Organism: General

deep learning grass pollen morphology C3/C4 plant ratios paleo‑vegetation reconstruction super‑resolution microscopy

Reconstructing coniferous tree crown shape from incomplete point clouds using deep learning

Authors: Bornand, A., Abegg, M., Morsdorf, F., Puliti, S., Astrup, R., Rehush, N.

Date: 2026-01-21 · Version: 1

DOI: 10.64898/2026.01.18.700158

Model Organism: General

deep learning point cloud reconstruction alpha‑shape coniferous tree crowns geometry-aware transformer

Do stomatal movements have a limited dynamic range?

Authors: Muraya, F., Siqueira, J. A., Very, A.-A., Roelfsema, R.

Date: 2025-12-26 · Version: 1

DOI: 10.64898/2025.12.22.695892

Model Organism: Arabidopsis thaliana

stomatal conductance potassium transporters GORK channel AtKUP2/6/8 Arabidopsis

KDM7-mediated oxygen sensing reprograms chromatin to enhance hypoxia tolerance in the root

Authors: Zhang, D., Chirinos, X., Del Chiaro, A., Shukla, V., Ryder, A., Beltran, A. D. P., Iacopino, S., Bota, P., Zivkovic, D., Fioriti, F., Telara, Y., Ellison, C. J., Costa, F., Elliott, P. R., Giorgi, F., Giuntoli, B., Flashman, E. G., Abreu, I., Licausi, F.

Date: 2025-11-26 · Version: 1

DOI: 10.1101/2025.11.24.690241

Model Organism: Arabidopsis thaliana

hypoxia root meristem H3K4 trimethylation KDM7 demethylase Arabidopsis

Cross-dataset evaluation of deep learning models for plant pest and disease diagnosis

Authors: Sun, J.

Date: 2025-11-03 · Version: 2

DOI: 10.1101/2024.10.07.617111

Model Organism: Solanum lycopersicum

deep learning cross-dataset generalization tomato pest and disease dataset variability model architecture

Hyperspectral Imaging to Quantify Nodules and Detect Biological Nitrogen Fixation in Legumes

Authors: Wang, Y., de Silva, K., Song, D., Kamruzzaman, M., Brooks, M. D.

Date: 2025-10-24 · Version: 3

DOI: 10.1101/2025.07.25.666867

Model Organism: Multi-species

root nodules biological nitrogen fixation hyperspectral imaging deep learning legume species

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae)

Authors: Moore-Pollard, E. R., Ellestad, P., Mandel, J.

Date: 2025-10-13 · Version: 2

DOI: 10.1101/2025.09.14.676143

Model Organism: Multi-species

phylogenomic discordance polyploidy paralog processing Packera historical biogeography

Botanic Spectrum Analyser: A Deep Learning GUI for Plant Image Segmentation in Hyperspectral and RGB Phenotyping

Authors: Walsh, J. J., Gorgu, L., Cavel, E., Poulain, V., Gutierrez, L., Mangina, E., Negrao, S.

Date: 2025-09-17 · Version: 1

DOI: 10.1101/2025.09.14.676080

Model Organism: Multi-species

plant phenotyping image segmentation U‑Net hyperspectral imaging deep learning

MBD8 is required for LDL2-mediated transcriptional repression downstream of H3K9me2 in Arabidopsis

Authors: Mori, S., Osakabe, A., Juliarni,, Tanaka, Y., Hirayama, M., Inagaki, S., Kakutani, T.

Date: 2025-08-25 · Version: 1

DOI: 10.1101/2025.08.21.671526

Model Organism: Arabidopsis thaliana

H3K9me2 LDL2 MBD8 histone demethylation Arabidopsis

Phenotypic scoring of Canola Blackleg severity using machine learning image analysis

Authors: Hu, Q., Anderson, S. N., Gardner, S., Ernst, T. W., Koscielny, C. B., Bahia, N. S., Johnson, C. G., Jarvis, A. C., Hynek, J., Coles, N., Falak, I., Charne, D. R., Ruidiaz, M. E., Linares, J. N., Mazis, A., Stanton, D. J.

Date: 2025-07-22 · Version: 1

DOI: 10.1101/2025.07.17.665372

Model Organism: Multi-species

blackleg disease canola (Brassica spp.)deep learning image-based phenotyping disease severity scoring

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