Keywords: decoding modules, root development, SNP array, SWI3, ELF4 function, transcriptomics, wheat, drought stress

Latest 95 Papers

An ancient alkalinization factor informs Arabidopsis root development

Authors: Xhelilaj, K., von Arx, M., Biermann, D., Parvanov, A., Faiss, N., Monte, I., Klingelhuber, F., Zipfel, C., Timmermans, M., Oecking, C., Gronnier, J.

Date: 2025-12-23 · Version: 1

DOI: 10.64898/2025.12.22.695669

Model Organism: Arabidopsis thaliana

REMORIN proteins H⁺‑ATPase inhibition extracellular pH (pHe) alkalinization root development Arabidopsis thaliana

Assessing Drought Resilience and Identification of High Yielding Upland Rice Varieties through Phenology, Growth and Yield Traits

Authors: Hussain, T., Anothai, J., Nualsri, C., Ali, A., Ali, M. F., Khomphet, T.

Date: 2025-12-23 · Version: 1

DOI: 10.64898/2025.12.20.695743

Model Organism: Oryza sativa

upland rice drought stress field capacity irrigation yield loss varietal stability

METABOLIC AND TRANSCRIPTOMIC ANALYSES IDENTIFY COORDINATED RESOURCE REALLOCATION IN RESPONSE TO PHOSPHATE SUPPLY IN HEMP

Authors: Wee Y, B., Berkowitz, O., Ng, S., Pegg, A., Whelan, J., Jost, R.

Date: 2025-12-23 · Version: 2

DOI: 10.1101/2025.09.18.677093

Model Organism: Cannabis sativa

Cannabis sativa phosphate nutrition transcriptomics source‑sink regulation nutrient signaling

Evolution of HMA-integrated tandem kinases accompanied by expansion of target pathogens

Authors: Asuke, S., Tagle, A. G., Hyon, G.-S., Koizumi, S., Murakami, T., Horie, A., Niwamoto, D., Katayama, E., Shibata, M., Takahashi, Y., Islam, M. T., Matsuoka, Y., Yamaji, N., Shimizu, M., Terauchi, R., Hisano, H., Sato, K., Tosa, Y.

Date: 2025-12-16 · Version: 1

DOI: 10.64898/2025.12.15.692859

Model Organism: Multi-species

tandem kinase proteins HMA domain disease resistance barley wheat

Universal modules for decoding amplitude and frequency of Ca2+ signals in plants

Authors: Vergara-Valladares, F., Rubio-Melendez, M. E., Charpentier, M., Michard, E., Dreyer, I.

Date: 2025-12-16 · Version: 1

DOI: 10.64898/2025.12.13.694100

Model Organism: General

calcium signaling EF‑hand Ca2+ binding protein decoding modules plant calcium sensors signal amplitude and frequency

Targeting granule initiation and amyloplast structure to create giant starch granules in wheat

Authors: McNelly, R., Esch, L., Ngai, Q. Y., Pohan, K., Stringer, R., Fahy, B., Warren, F., Seung, D.

Date: 2025-12-15 · Version: 1

DOI: 10.64898/2025.12.12.693964

Model Organism: Triticum aestivum

starch granule size PARC6 BGC1 wheat giant starch granules

A photoprotection dial maps holistic light-stress response in diatoms

Authors: Croteau, D., Jaubert, M., Quemar, T., Falciatore, A., Maes, A., Bailleul, B.

Date: 2025-12-15 · Version: 1

DOI: 10.64898/2025.12.11.693581

Model Organism: Phaeodactylum tricornutum

non-photochemical quenching Phaeodactylum tricornutum high-light stress transcriptomics photosynthetic regulation

Arabidopsis EARLY FLOWERING 4 recruits EARLY FLOWERING 3 to the nucleus to facilitate gene repression

Authors: Ronald, J., Davis, S. J.

Date: 2025-12-12 · Version: 1

DOI: 10.64898/2025.12.12.688453

Model Organism: Arabidopsis thaliana

Evening Complex ELF3 nuclear recruitment ELF4 function hypocotyl elongation Arabidopsis thaliana

Molecular response of the diatom Coscinodiscus granii and its co-occurring dictyochophyte during Lagenisma coscinodisci parasite infection

Authors: Orvain, C., Bertrand, L., Moussy, A., Porcel, B. M., Vallet, M., Carradec, Q., Thurotte, A.

Date: 2025-12-12 · Version: 2

DOI: 10.1101/2025.10.10.681168

Model Organism: Coscinodiscus granii

diatom‑parasite interactions oomycete effectors Coscinodiscus granii transcriptomics metabolomics

Network Inference Reveals Distinct Transcriptional Regulation in Barley against Drought and Fusarium Head Blight

Authors: Steidele, C. E., Kersting, J., Hoheneder, F., List, M., Hueckelhoven, R.

Date: 2025-12-09 · Version: 1

DOI: 10.64898/2025.12.09.693163

Model Organism: Hordeum vulgare

Fusarium head blight drought stress Barley transcription factor networks co‑expression analysis

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