Keywords: paralog processing, ascorbate, transcriptomic analysis, deep learning, lipidomics

Latest 24 Papers

Molecular basis of delayed leaf senescence induced by short-term treatment with low phosphate in rice

Authors: Martin-Cardoso, H., Bundo, M., Garcia-Molina, A., San Segundo, B.

Date: 2026-01-24 · Version: 1

DOI: 10.64898/2026.01.23.701354

Model Organism: Oryza sativa

phosphate deficiency leaf senescence Oryza sativa CRISPR/Cas9 transcriptomic analysis

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

Key molecular and cellular events of table olive fruit abscission zone formation during natural maturation and after ethephon treatment

Authors: Wang, M., Santos, E., Eagle, S., Chernikova, A., Zhang, S., Tran, P., Marino, G., Jernstedt, J., Niederholzer, F., Wheeler-Dykes, B., Wilkop, T., Ferguson, L., Drakakaki, G.

Date: 2025-11-12 · Version: 1

DOI: 10.1101/2025.11.10.687704

Model Organism: Olea europaea

abscission zone Olea europaea transcriptomic analysis cell wall remodeling alkalinization

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

Antifungal activity and mechanism of limonene against Fusarium oxysporum, a pathogen of potato dry rot

Authors: Xia, Q., Dong, P.

Date: 2025-10-06 · Version: 1

DOI: 10.1101/2025.10.06.675995

Model Organism: Fusarium oxysporum

limonene Fusarium oxysporum potato dry rot bio‑based fungicide transcriptomic analysis

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

Unveiling the molecular identity of plant autophagic compartments: A proteo-lipidomic study in Arabidopsis thaliana

Authors: Lupette, J., Chambaud, C., Buridan, M., Castets, J., Wattelet-Boyer, V., Toboso Moreno, I., Kosuth, T., Yatim, C., Dittrich-Domergue, F., Gros, V., Jouhet, J., Claverol, S., Herice, C., Melser, S., Genva, M., Fouillen, L., Bessoule, J.-J., Domergue, F., Bernard, A.

Date: 2025-08-28 · Version: 1

DOI: 10.1101/2025.08.25.671700

Model Organism: Arabidopsis thaliana

autophagy phagophore membrane proteomics lipidomics membrane remodeling

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