Keywords: decoding modules, transcriptome profiling, deep learning, QTL mapping

Latest 30 Papers

The complex molecular basis of enhanced stress resilience in extreme drought-tolerant Arabis grassland species

Authors: Khan, A. S., Zumkeller, S. M., Schmitz, G., Calic, I., Ali, T., Rahnamae, N., Hoerdemann, L., Abdelwahed, L., Szymanski, J. J., de Meaux, J.

Date: 2025-10-02 · Version: 1

DOI: 10.1101/2025.10.02.680103

Model Organism: Arabis nemorensis

drought resilience polygenic regulation transcriptome profiling small RNA (miR408)cis‑regulatory motifs

Novel substrate affinity of FaCCR1 and FaCCR1/FaOCT4 expression control the content of medium-chain esters in strawberry fruit

Authors: Roldan-Guerra, F. J., Amorim-Silva, V., Jimenez, J., Mari-Albert, A., Torreblanca, R., Ruiz del Rio, J., Botella, M. A., Granell, A., Sanchez-Sevilla, J. F., Castillejo, C., Amaya, I.

Date: 2025-10-01 · Version: 1

DOI: 10.1101/2025.09.30.679181

Model Organism: Fragaria × ananassa

volatile organic compounds medium-chain esters QTL mapping FaCCR1 FaOCT4

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

AMF primes immune genes against Puccinia hordei (Brown rust) in Hordeum vulgare but does not reduce pathogen burden

Authors: Moulton-Brown, C. E., Brzezinska, K., Orosa-Puente, B. E., Helgason, T.

Date: 2025-09-17 · Version: 1

DOI: 10.1101/2025.09.16.676302

Model Organism: Hordeum vulgare

Barley (Hordeum vulgare)Rhizophagus irregularis Puccinia hordei mycorrhiza‑induced resistance transcriptome profiling

QTL mapping of oat crown rust resistance in Australian fields and identification of a seedling resistance locus in oat line GS7

Authors: Nguyen, D., Lewis, D., Henningsen, E., Su, Z., Mago, R., Sperschneider, J., Dodds, P., Rattey, A., Yimer, B., Klos, K., Figueroa, M.

Date: 2025-08-27 · Version: 1

DOI: 10.1101/2025.08.24.671654

Model Organism: Avena sativa

crown rust Puccinia coronata QTL mapping KASP markers Pc61

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

An ancient X chromosomal region harbours three genes potentially controlling sex determination in Cannabis sativa

Authors: Toscani, M., Riera-Begue, A., Malik, A., Dowling, C., Schilling, S., Melzer, R.

Date: 2025-07-03 · Version: 1

DOI: 10.1101/2025.07.03.663031

Model Organism: Cannabis sativa

sex determination monoecy dioecy QTL mapping Cannabis sativa

Molecular and Phenotypic Characterization of Telomere Repeat Binding (TRBs) Proteins in Moss: Evolutionary and Functional Perspectives

Authors: Kusova, A., Hola, M., Goffova Petrova, I., Rudolf, J., Zachova, D., Skalak, J., Hejatko, J., Klodova, B., Prerovska, T., Lycka, M., Sykorova, E., Bertrand, Y. J. K., Fajkus, J., Honys, D., Prochazkova Schrumpfova, P.

Date: 2025-06-17 · Version: 1

DOI: 10.1101/2025.06.11.659030

Model Organism: Physcomitrium patens

Telomere repeat binding proteins Physcomitrium patens knockout mutants telomere maintenance transcriptome profiling

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

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