Keywords: paralog processing, transcriptome, deep learning, Zea mays

Latest 38 Papers

Aphid-derived cross-kingdom RNA dynamics underpin maize resistance

Authors: Jiang, S., Zhang, Z., Liu, C., Zhu, Y., Kou, Y., Yang, P., Hu, Z., Wu, J., Wang, Y., Wan, F., Wu, G., Chen, Y.

Date: 2025-09-28 · Version: 1

DOI: 10.1101/2025.09.25.678037

Model Organism: Zea mays

aphid long non‑coding RNA cross‑kingdom effectors Zea mays RNA interference

Spatial inheritance patterns across maize ears are associated with alleles that reduce pollen fitness

Authors: Ruggiero, D., Bang, M., Leary, M., Flieg, H., Garcia-Lamas, L., Vejlupkova, Z., Megraw, M., Jiang, D., Leiboff, S., Fowler, J. E.

Date: 2025-09-20 · Version: 1

DOI: 10.1101/2025.09.17.676879

Model Organism: Zea mays

pollen fitness spatial inheritance Ds‑GFP mutants computer vision phenotyping Zea mays

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

Partial retention of ancient function increases genetic pleiotropy in grass evolution

Authors: de Neve, A. E., Kelly, O. A., Kelly, T., Leiboff, S., Bartlett, M. E.

Date: 2025-08-23 · Version: 1

DOI: 10.1101/2025.08.22.670905

Model Organism: Zea mays

genetic pleiotropy axillary meristem suppression floral organ suppression high-throughput quantitative phenotyping Zea mays

Non-catalytic and catalytic TREHALOSE-6-PHOSPHATE SYNTHASES interact with RAMOSA3 to control maize development.

Authors: Tran, T., Claeys, H., Abraham Juarez, M. J., Vi, L. S., Xu, X., Michalski, K., Chou, T. H., Iohannes, S. D., Boumpas, P., Williams, Z., Sheppard, S., Griffiths, C., Paul, M., Furukawa, H., Jackson, D.

Date: 2025-08-12 · Version: 1

DOI: 10.1101/2025.08.09.669499

Model Organism: Zea mays

Trehalose-6-phosphate non‑catalytic TPS Zea mays protein complex developmental regulation

ZmCRY1s interact with GL2 in a blue light dependent manner to regulate epidermal wax composition in Zea mays

Authors: Zhao, Z., Feng, F., Liu, Y., Liu, Y., Wang, F., Ni, Y., Liang, H., Hu, W., Wang, S., Hao, Y., Li, X., Li, J., Wang, J., Zhang, P., Liu, H.

Date: 2025-08-06 · Version: 1

DOI: 10.1101/2025.08.06.668858

Model Organism: Zea mays

cryptochrome Zea mays blue light signaling UV-B tolerance epidermal wax biosynthesis

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

Tomato leaf transcriptomic changes promoted by long-term water scarcity stress can be largely prevented by a fungal-based biostimulant

Authors: Lopez-Serrano, L., Ferez-Gomez, A., Romero-Aranda, R., Jaime Fernandez, E., Leal Lopez, J., Fernandez Baroja, E., Almagro, G., Dolezal, K., Novak, O., Diaz, L., Bautista, R., Leon Morcillo, R. J., Pozueta Romero, J.

Date: 2025-06-28 · Version: 1

DOI: 10.1101/2025.06.26.661737

Model Organism: Solanum lycopersicum

water deficit Trichoderma harzianum culture filtrate tomato drought tolerance transcriptome

Rapid replacement of established by exotic genetic lineages of the fungal maize pathogen <it>Exserohilum turcicum</it> in the Swiss Rhine valley

Authors: Vidal Villarejo, M., Hammerschmidt, M., Oppliger, B., Oppliger, H., Schmid, K. J.

Date: 2025-06-24 · Version: 1

DOI: 10.1101/2025.06.24.661258

Model Organism: Zea mays

Exserohilum turcicum metagenomic pool sequencing clonal lineages phyllobiome Zea mays

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