Keywords: paralog processing, transcriptome reprogramming, deep learning, water deficit

Latest 19 Papers

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

Integrative analysis of plant responses to a combination of water deficit, heat stress and eCO2 reveals a role for OST1 and SLAH3 in regulating stomatal responses

Authors: Pelaez-Vico, M. A., Sinha, R., Ghani, A., Lopez-Climent, M. F., Joshi, T., Fritschi, F. B., Zandalinas, S. I., Mittler, R.

Date: 2025-05-11 · Version: 1

DOI: 10.1101/2025.05.07.652739

Model Organism: Arabidopsis thaliana

Global Change Factor combination stomatal aperture regulation Arabidopsis thaliana water deficit heat stress

Transcriptomic and physiological responses of soybean plants subjected to a combination of water deficit and heat stress under field conditions

Authors: Sinha, R., Pelaez-Vico, M. A., Dhakal, S., Ghani, A., Myers, R., Verma, M., Shostak, B., Ogden, A., Krueger, C. B., Costa Netto, J. R., Zandalinas, S. I., Joshi, T., Fritschi, F. B., Mittler, R.

Date: 2025-05-11 · Version: 1

DOI: 10.1101/2025.05.07.652738

Model Organism: Glycine max

water deficit heat stress combined stress field transcriptomics soybean

SnRK1.1 Coordinates Organ-Specific Growth-Defense Programs via Transcriptomic Rewiring in Arabidopsis thaliana

Authors: Kalachova, T., Muller, K., Lacek, J., Pree, S., Antonova, A., Bondarenko, O., Burketova, L., Retzer, K., Weckwerth, W.

Date: 2025-04-29 · Version: 1

DOI: 10.1101/2025.04.25.650715

Model Organism: Arabidopsis thaliana

SnRK1 KIN10 transcriptome reprogramming plant immunity tissue-specific signaling

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

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

Authors: Wang, Z., Zenkl, R., Greche, L., De Solan, B., Bernigaud Samatan, L., Ouahid, S., Visioni, A., Robles-Zazueta, C. A., Pinto, F., Perez-Olivera, I., Reynolds, M. P., Zhu, C., Liu, S., D'argaignon, M.-P., Lopez-Lozano, R., Weiss, M., Marzougui, A., Roth, L., Dandrifosse, S., Carlier, A., Dumont, B., Mercatoris, B., Fernandez, J., Chapman, S., Najafian, K., Stavness, I., Wang, H., Guo, W., Virlet, N., Hawkesford, M., Chen, Z., David, E., Gillet, J., Irfan, K., Comar, A., Hund, A.

Date: 2025-03-19 · Version: 1

DOI: 10.1101/2025.03.18.642594

Model Organism: Triticum aestivum

wheat semantic segmentation computer vision deep learning phenotyping