Keywords: paralog processing, CO2-fixing enzyme, CO2 enrichment, deep learning, DDM1, multi-omics

Latest 22 Papers

DECREASE IN DNA METHYLATION 1-mediated epigenetic regulation maintains gene expression balance required for heterosis in Arabidopsis thaliana

Authors: Matsuo, K., Wu, R., Yonechi, H., Murakami, T., Takahashi, S., Kamio, A., Akter, M. A., Kamiya, Y., Nishimura, K., Matsuura, T., Tonosaki, K., Shimizu, M., Ikeda, Y., Kobayashi, H., Seki, M., Dennis, E. S., Fujimoto, R.

Date: 2025-08-26 · Version: 1

DOI: 10.1101/2025.08.21.671646

Model Organism: Arabidopsis thaliana

heterosis DNA methylation DDM1 Arabidopsis thaliana transcriptomics

Pioneer bark beetle attacks induce multifaceted localized defense responses in Norway spruce

Authors: Ramires, M. J., Netherer, S., Schebeck, M., Hummel, K., Schlosser, S., Razzazi-Fazeli, E., Ertl, R., Ahmad, M., Espinosa-Ruiz, A., Carrera, E., Arc, E., Martinez-Godoy, M. A., Banos, J., Caballero, T., Ledermann, T., van Loo, M., Trujillo-Moya, C.

Date: 2025-08-07 · Version: 1

DOI: 10.1101/2025.08.06.668443

Model Organism: Picea abies

Norway spruce bark beetle defense multi-omics jasmonic acid phenolic compounds

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

Virus-induced upregulation of mitochondrial metabolism modulates cytosolic redox balance and defense responses

Authors: Hou, L.-Y., Wu, C.-H., Lin, N.-S.

Date: 2025-07-06 · Version: 1

DOI: 10.1101/2025.07.05.663277

Model Organism: Nicotiana benthamiana

metabolic reprogramming Bamboo mosaic virus mitochondrial metabolism redox balance multi-omics

Multi-Omics Analysis of Heat Stress-Induced Memory in Arabidopsis

Authors: Thirumlaikumar, V. P. P., Yu, L., Arora, D., Mubeen, U., Wisniewski, A., Walther, D., Giavalisco, P., Alseekh, S., DL Nelson, A., Skirycz, A., Balazadeh, S.

Date: 2025-06-23 · Version: 1

DOI: 10.1101/2025.06.19.660594

Model Organism: Arabidopsis thaliana

heat stress acquired thermotolerance heat stress memory multi-omics Arabidopsis thaliana

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

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 multiomics landscape of small peptides encoded by long non-coding RNA-derived sORFs in rice

Authors: Chen, Z., Lin, H., Wei, L., Wang, S., Peng, T., Song, W., Wang, D., Wu, Y., Wu, L., Wu, J., Wang, Y.

Date: 2025-04-02 · Version: 1

DOI: 10.1101/2025.04.01.646714

Model Organism: Oryza sativa

long non-coding RNAs small open reading frame peptides multi-omics ribosome profiling LC-MS/MS proteomics

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

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