Keywords: paralog processing, root development, deep learning, photosynthesis

Latest 25 Papers

Microclimatic Effects on Functional Traits of Arctostaphylos crustacea ssp. crustacea in Alameda County, California, USA

Authors: Hsiao, L.

Date: 2025-10-06 · Version: 1

DOI: 10.1101/2025.10.03.680375

Model Organism: Arctostaphylos crustacea ssp. crustacea

microclimate leaf mass per area (LMA)photosynthesis intraspecific trait variation chaparral ecosystems

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

Integrative comparative transcriptomics using cultivated and wild rice reveals key regulators of developmental and photosynthetic progression along the rice leaf developmental gradient

Authors: Jathar, V., Vivek, A., Panda, M. K., Daware, A. V., Dwivedi, A., Rani, R., Kumar, S., Ranjan, A.

Date: 2025-08-09 · Version: 1

DOI: 10.1101/2025.08.07.669153

Model Organism: Oryza sativa

leaf development gene regulatory networks photosynthesis rice (Oryza)transcription factors

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

RegenPGC View: Semantic Segmentation of Perennial Groundcover Cropping Systems to Restore American Croplands

Authors: Meyering, B., Schlautman, B.

Date: 2025-07-06 · Version: 1

DOI: 10.1101/2025.07.03.663038

Model Organism: General

perennial groundcovers cover cropping deep learning convolutional neural network image‑based phenotyping

Ethylene Receptor Gain- and Loss-of-function Mutants Reveal an ETR1-dependent Transcriptional Network in Roots

Authors: White, M. G., Harkey, A., Muhlemann, J. K., Olex, A. L., Pfeffer, N. J., Houben, M., Binder, B., Muday, G. K.

Date: 2025-06-22 · Version: 3

DOI: 10.1101/2024.06.26.600793

Model Organism: Arabidopsis thaliana

ethylene signaling ETR1 root development gene regulatory network Arabidopsis

Advanced illumination-imaging reveals photosynthesis-triggered pH, ATP and NAD redox signatures across plant cell compartments

Authors: Zheng, K., Elsässer, M., Niemeier, J.-O., Barreto, P., Cislaghi, A. P., Hoang, M., Feitosa-Araujo, E., Wagner, S., Giese, J., Kotnik, F., Martinez, M. d. P., Buchert, F. E., Ugalde, J. M., Armbruster, U., Hippler, M., Meyer, A. J., Kunz, H.-H., Maurino, V. G., Finkemeier, I., Schallenberg-Rüdinger, M., Schwarzländer, M.

Date: 2025-06-21 · Version: 1

DOI: 10.1101/2025.06.16.659786

Model Organism: Arabidopsis thaliana

photosynthesis fluorescent protein biosensors subcellular pH dynamics MgATP2- signaling NAD redox metabolism

Unraveling the cis-regulatory code controlling abscisic acid-dependent gene expression in Arabidopsis using deep learning

Authors: Opdebeeck, H., Smet, D., Thierens, S., Minne, M., De Beukelaer, H., Zuallaert, J., Van Bel, M., Van Montagu, M., Degroeve, S., De Rybel, B., Vandepoele, K.

Date: 2025-06-06 · Version: 1

DOI: 10.1101/2025.06.03.657584

Model Organism: Arabidopsis thaliana

Abscisic acid Arabidopsis thaliana deep learning promoter motifs ABF binding sites

Acclimation of carbon metabolism to a changing environment across a leaf rosette of Arabidopsis thaliana

Authors: Brodsky, V., Kerscher, A., Urban, M., Naegele, T.

Date: 2025-05-03 · Version: 1

DOI: 10.1101/2025.04.29.651223

Model Organism: Arabidopsis thaliana

Arabidopsis thaliana leaf-specific acclimation photosynthesis carbon metabolism carbon balance modeling

Deciphering the Sequence Basis and Application of Transcriptional Initiation Regulation in Plant Genomes Through Deep Learning

Authors: Gao, P., Lian, L., Feng, W., Ma, Y., Lin, J., Qin, L., Hao, S., Zhao, H., Liu, X., Yuan, J., Lin, Z., Li, X., Guan, Y., Wang, X.

Date: 2025-04-24 · Version: 1

DOI: 10.1101/2025.04.22.649999

Model Organism: Glycine max

transcription start site promoter motifs deep learning soybean domestication plant gene regulation

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