Keywords: paralog processing, ascorbate, CRISPR, transcriptomics, expression specificity, machine learning

Latest 47 Papers

Predicting flowering time using integrated morphophysiological and genomic data with machine learning models

Authors: Babaei, M., Nemati, H., Arouiee, H., Torkamaneh, D.

Date: 2025-08-13 · Version: 1

DOI: 10.1101/2025.08.11.669697

Model Organism: Cannabis sativa

flowering time Cannabis sativa genotyping-by-sequencing machine learning SNP markers

A sublethal drought and rewatering time course reveals intricate patterning of responses in the annual Arabidopsis thaliana

Authors: Fitzek-Campbell, E., Psaroudakis, D., Weisshaar, B., Junker, A., Braeutigam, A.

Date: 2025-07-27 · Version: 1

DOI: 10.1101/2025.07.25.666782

Model Organism: Arabidopsis thaliana

drought stress Arabidopsis thaliana transcriptomics high‑throughput phenotyping biomarker transcripts

Transcriptomics uncovers molecular mechanisms underlying salt-inhibited root growth in Festuca rubra

Authors: Lan, B., Ru, D., Du, F. K., Yin, K.

Date: 2025-07-26 · Version: 1

DOI: 10.1101/2025.07.22.665687

Model Organism: Festuca rubra

salt stress root growth inhibition Festuca rubra transcriptomics hormone signaling

The transcriptional mechanism behind Mimosa pudica leaf-folding in response to mechanical disturbance

Authors: Buti, M., Checcucci, A., Vergata, C., Renna, L., Pollastri, S., Loreto, F., Mancuso, S., Martinelli, F.

Date: 2025-07-21 · Version: 1

DOI: 10.1101/2025.07.17.665295

Model Organism: Mimosa pudica

Mimosa pudica mechanical stress chlorophyll fluorescence transcriptomics stress‑responsive gene expression

Enhancement of Arabidopsis growth by Enterobacter sp. SA187 under elevated CO2 is dependent on ethylene signalling activation and primary metabolism reprogramming

Authors: Ilyas, A., Mauve, C., Pateyron, S., Paysant-Le Roux, C., Bigeard, J., Hodges, M., de Zelicourt, A.

Date: 2025-07-09 · Version: 1

DOI: 10.1101/2025.07.08.663752

Model Organism: Arabidopsis thaliana

Enterobacter sp. SA187 elevated CO2 Arabidopsis thaliana phytohormone signaling transcriptomics

Integrative Multi-Omics Analysis Reveals Stress-Specific Molecular Architectures in Soybean under Drought and Rust Infection

Authors: Husein, G., Castro-Moretti, F. R., Prado, M., Amorim, L., Mazzafera, P., Canales, J., Monteiro-Vitorello, C. B.

Date: 2025-07-08 · Version: 1

DOI: 10.1101/2025.07.07.663534

Model Organism: Glycine max

Asian soybean rust drought stress transcriptomics metabolomics co-expression network

Medicago truncatula CORYNE modulates inflorescence meristem branching, nutrient signaling, and arbuscular mycorrhizal symbiosis

Authors: Orosz, J., Lin, E. X., Torres Ascurra, Y. C., Kappes, M., Lindsay, P. L., Bashyal, S., Everett, H., Gautam, C. K., Jackson, D., Mueller, L. M.

Date: 2025-07-02 · Version: 3

DOI: 10.1101/2024.09.20.614181

Model Organism: Medicago truncatula

CLAVATA signaling CRN pseudokinase arbuscular mycorrhizal symbiosis Meristem branching transcriptomics

Molecular characterization of flower bud dormancy under constrained temperatures unveils a shallow dormancy stage induced by cold deprivation

Authors: Fouche, M., Bonnet, H., Prigent, S., Wenden, B.

Date: 2025-07-01 · Version: 1

DOI: 10.1101/2025.06.27.661981

Model Organism: Prunus avium

winter dormancy temperature stress sweet cherry transcriptomics shallow dormancy phase

Zinc deficiency induces spatially distinct responses in roots and impacts ZIP12-dependent zinc homeostasis in Arabidopsis

Authors: Thiebaut, N., Persson, D. P., Sarthou, M., Stevenne, P., Bosman, B., Carnol, M., Fanara, S., Verbruggen, N., Hanikenne, M.

Date: 2025-06-30 · Version: 1

DOI: 10.1101/2025.06.26.661794

Model Organism: Arabidopsis thaliana

zinc deficiency root apical meristem ZIP12 transcriptomics ionomics

Integrating Load-Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration

Authors: Friedman, S., Averbuch, N., Nevo, T., Moshelion, M.

Date: 2025-06-30 · Version: 2

DOI: 10.1101/2024.11.24.625038

Model Organism: Multi-species

daily transpiration machine learning gravimetric load cells Random Forest XGBoost

PreviousPage 3 of 5Next