Keywords: decoding modules, SNP array, ELF4 function, single-cell transcriptomics, ascorbate, wheat

Latest 24 Papers

Soil phosphate availability modulates the arbuscular mycorrhizal fungal community and mycorrhizal nutrition in wheat

Authors: Trinquier, M., Lecloux, E., Bruno, P., Gasciolli, V., Jouany, C., Roux, C., Lefebvre, B., Ardanuy, A.

Date: 2025-08-09 · Version: 1

DOI: 10.1101/2025.08.08.669323

Model Organism: Triticum aestivum

arbuscular mycorrhizal fungi phosphorus availability nitrogen availability wheat metabarcoding

An aphid resistant wheat variety reduces the transmission of Barley Yellow Dwarf Virus (BYDV) by Rhopalosiphum padi (L.)

Authors: Qonaah, I. A., Simon, A. L., Warner, D., Bruce, T. J. A., Ray, R. V.

Date: 2025-08-02 · Version: 1

DOI: 10.1101/2025.07.30.667415

Model Organism: Triticum aestivum

aphid resistance Barley Yellow Dwarf Virus wheat 2‑tridecanone virus transmission

Homoeolog expression in polyploid wheat mutants shows limited transcriptional compensation

Authors: Dorussen, D., Knight, E., Simmonds, J., Borrill, P.

Date: 2025-07-02 · Version: 1

DOI: 10.1101/2025.07.01.662569

Model Organism: Triticum aestivum

transcriptional compensation homoeologs premature termination codon wheat mutagenised lines

Cell-type-specific execution of effector-triggered immunity

Authors: Chhillar, H., Jo, L., Redkar, A., Kajala, K., Jones, J. D., Ding, P.

Date: 2025-07-01 · Version: 1

DOI: 10.1101/2025.06.28.662111

Model Organism: Arabidopsis thaliana

effector-triggered immunity single-cell transcriptomics cell-type-specific immune response transcriptional regulators Arabidopsis

TaPGS1 Driven Flavonol Accumulation Delays Endosperm Cellularization and Enlarges Wheat Grains

Authors: Wang, J., Guo, X., Liu, X., Jin, Y., zhao, s., Liang, W., Li, M., Cheng, M., Dong, H., Chen, Q., Chen, Z.

Date: 2025-06-23 · Version: 1

DOI: 10.1101/2025.06.17.660139

Model Organism: Triticum aestivum

flavonols grain size TaPGS1 auxin transport wheat

Gene regulatory network analysis of somatic embryogenesis identifies morphogenic genes that increase maize transformation frequency

Authors: Renema, J., Luckicheva, S., Verwaerde, I., Aesaert, S., Coussens, G., De Block, J., Grones, C., Eekhout, T., De Rybel, B., Brew-Appiah, R. A. T., Bagley, C. A., Hoengenaert, L., Vandepoele, K., Pauwels, L.

Date: 2025-06-23 · Version: 1

DOI: 10.1101/2025.06.22.659756

Model Organism: Zea mays

somatic embryogenesis transcription factors Zea mays single-cell transcriptomics gene regulatory network

Alginate Oligosaccharides (from DP2 to DP9) Differentially Modulate Phytohormone Levels in Botrytis cinerea-Infected Wheat

Authors: Zhang, Z., Wang, X., Chi, Y.

Date: 2025-06-20 · Version: 1

DOI: 10.1101/2025.06.18.660292

Model Organism: Triticum aestivum

alginate oligosaccharides degree of polymerization phytohormone modulation wheat Botrytis cinerea

Arabidopsis lines with modified ascorbate concentrations reveal a link between ascorbate and auxin biosynthesis

Authors: Fenech, M., Zulian, V., Moya-Cuevas, J., Arnaud, D., Morilla, I., Smirnoff, N., Botella, M. A., Stepanova, A. N., Alonso, J. M., Martin-Pizarro, C., Amorim-Silva, V.

Date: 2025-05-16 · Version: 1

DOI: 10.1101/2025.05.15.654287

Model Organism: Arabidopsis thaliana

ascorbate Arabidopsis thaliana auxin biosynthesis redox homeostasis transcriptomics

Data-driven mathematical modelling explains altered timing of EARLY FLOWERING 3 in the wheat circadian oscillator

Authors: Upadhyay, A., Rowland-Chandler, J., Stewart-Wood, J., Pingarron-Cardenas, G., Tokuda, I. T., Webb, A. A., Locke, J. C.

Date: 2025-04-08 · Version: 1

DOI: 10.1101/2025.04.08.644541

Model Organism: Triticum aestivum

circadian rhythm ELF3 wheat TOC1 repression computational modeling

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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