Keywords: paralog processing, CO2-fixing enzyme, deep learning, nutrient signaling

Latest 15 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

METABOLIC AND TRANSCRIPTOMIC ANALYSES IDENTIFY COORDINATED RESOURCE REALLOCATION IN RESPONSE TO PHOSPHATE SUPPLY IN HEMP

Authors: Wee Y, B., Berkowitz, O., Ng, S., Pegg, A., Whelan, J., Jost, R.

Date: 2025-12-23 · Version: 2

DOI: 10.1101/2025.09.18.677093

Model Organism: Cannabis sativa

Cannabis sativa phosphate nutrition transcriptomics source‑sink regulation nutrient signaling

Rubisco Dark Inhibition in Angiosperms Shows a Complex Distribution Pattern

Authors: Nehls-Ramos, C., Carmo-Silva, E., Orr, D. J.

Date: 2025-11-20 · Version: 1

DOI: 10.1101/2025.11.20.689527

Model Organism: Multi-species

Rubisco dark inhibition flowering plants phylogenetic analysis photosynthetic regulation CO2-fixing enzyme

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

TPS Proteins coordinate plant growth with sugar availability via the SnRK1 Kinase

Authors: Reis-Barata, D., Confraria, A., Margalha, L., Peixoto, B., Lopes, F. L., Belda-Palazon, B., Jurke, B., Arrivault, S., Shukla, V., Feil, R., Licausi, F., Kaschani, F., Kaiser, M., Caldana, C., Stitt, M., Lunn, J. E., Baena-Gonzalez, E.

Date: 2025-08-20 · Version: 1

DOI: 10.1101/2025.08.17.670254

Model Organism: Arabidopsis thaliana

trehalose 6-phosphate (T6P)SnRK1 kinase TPS5/6/7 proteins Arabidopsis thaliana nutrient signaling

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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