Keywords: paralog processing, ascorbate, CO2-fixing enzyme, deep learning, GWAS, transcriptomics, SWI3

Latest 65 Papers

Identification of a novel link connecting indole-3-acetamide with abscisic acid biosynthesis and signaling

Authors: Moya-Cuevas, J., Ortiz-Garcia, P., Gonzalez Ortega-Villizan, A., Viguera-Leza, I., Perez-Gonzalez, A., Paz-Ares, J., Alonso-Blanco, C., Vicente-Carbajosa, J., Pollmann, S.

Date: 2025-08-20 · Version: 1

DOI: 10.1101/2025.08.15.670611

Model Organism: Arabidopsis thaliana

indole-3-acetamide (IAM)abscisic acid (ABA) signaling Arabidopsis thaliana GWAS hormone crosstalk

Whole genome sequencing-based multi-locus association mapping for kernel iron, zinc and protein content in groundnut

Authors: Sagar, U. N., Parmar, S., Gangurde, S. S., Sharma, V., Pandey, A. K., Mohinuddin, D. K., Dube, N., Bhat, R. S., John, K., Sreevalli, M. D., Rani, P. S., Singh, K., Varshney, R. K., Pandey, M. K.

Date: 2025-08-05 · Version: 1

DOI: 10.1101/2025.08.04.668427

Model Organism: Arachis hypogaea

groundnut nutritional quality GWAS SNP markers KASP

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

Integrative genomic and transcriptomic analyses uncover regulatory landscape of symbiotic nitrogen fixation in soybean natural population

Authors: Li, Y., Feng, w., Feng, X., Liu, X., Hao, S., Lian, L., Gao, L., Shao, Y., Chen, H., Chen, Z., Yuan, J., Qin, L., Li, X., Li, X., Wang, X.

Date: 2025-07-23 · Version: 1

DOI: 10.1101/2025.07.18.665310

Model Organism: Glycine max

symbiotic nitrogen fixation GWAS TWAS eQTL mapping ATAC-seq

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

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

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

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