Keywords: paralog processing, spatial transcriptomics, GWAS, Zea mays

Latest 51 Papers

Metabolite profiling reveals slow and uncoordinated adjustment of C4 photosynthesis to sudden changes in irradiance

Authors: Arrivault, S., Medeiros, D. B., Sales, C. R. G., Guenther, M., Kromdijk, J., Fernie, A. R., Stitt, M.

Date: 2025-04-18 · Version: 1

DOI: 10.1101/2025.04.13.648559

Model Organism: Zea mays

C4 photosynthesis irradiance fluctuations metabolic buffering intercellular shuttles Zea mays

Large-scale single-cell profiling of stem cells uncovers redundant regulators of shoot development and yield trait variation

Authors: Xu, X., Passalacqua, M., Rice, B., Demesa-Arevalo, E., Kojima, M., Takebayashi, Y., Harris, B., Sakakibara, H., Gallavotti, A., Gillis, J., Jackson, D.

Date: 2025-04-17 · Version: 2

DOI: 10.1101/2024.03.04.583414

Model Organism: Multi-species

single-cell RNA sequencing shoot stem cells Arabidopsis thaliana Zea mays stem cell regulators

Ethylene and ROS Signaling Are Key Regulators of Lateral Root Development under Salt Stress in Tomato

Authors: Rahmati Ishka, M., Zhao, J., Sussman, H., Mohanty, D., Craft, E., Yu, L., Pineros, M., Tester, M., Kawa, D., Mittler, R., Nelson, A., Fei, Z., Julkowska, M. M.

Date: 2025-04-15 · Version: 2

DOI: 10.1101/2024.06.20.599848

Model Organism: Solanum lycopersicum

root system architecture salt stress GWAS bulk segregant analysis RNA-Seq

Volatiles from low R:FR-treated maize plants increase the emission of herbivore-induced plant volatiles in their neighbors

Authors: Escobar Bravo, R., Schimmel, B. C. J., Erb, M.

Date: 2025-04-02 · Version: 2

DOI: 10.1101/2024.10.05.616768

Model Organism: Zea mays

low R:FR light Zea mays herbivore‑induced plant volatiles volatile priming plant‑plant communication

High-resolution transcriptional atlas of growing maize shoot organs throughout plant development under well-watered and drought conditions

Authors: Zhang, J., Verbraeken, L., Sprenger, H., Mertens, S., Wuyts, N., Cannoot, B., De Block, J., Demuynck, K., Natran, A., Maleux, K., Merchie, J., Crafts-Brandner, S., Vogel, J., Bruce, W., Inze, D., Maere, S., Nelissen, H.

Date: 2025-03-13 · Version: 1

DOI: 10.1101/2025.03.12.642568

Model Organism: Zea mays

Zea mays leaf and internode development drought stress spatiotemporal transcriptome atlas gene regulatory networks

Host genotype shapes root mycobiota in durum wheat

Authors: TRINQUIER, M., COLOMBO, M., FREVILLE, H., JACQUES, D., ROCHER, A., LEFEBVRE, B., ROUX, C.

Date: 2025-03-06 · Version: 3

DOI: 10.1101/2024.10.27.616629

Model Organism: Triticum aestivum

wheat genotype root endophytic mycobiota ITS2 barcoding GWAS QTL

MYB59 is linked to natural variation of water use associated with warmer temperatures in Arabidopsis thaliana

Authors: Ferguson, J. N., Brendel, O., Bechtold, U.

Date: 2025-02-28 · Version: 1

DOI: 10.1101/2025.02.27.640580

Model Organism: Arabidopsis thaliana

water-use variation Arabidopsis thaliana climate adaptation GWAS MYB59

Fiber Bragg grating based sensing system for non-destructive root phenotyping using ResNet prediction

Authors: Binder, S., Hossain, K., Bucksch, A., Fok, M.

Date: 2025-02-28 · Version: 2

DOI: 10.1101/2024.09.17.613457

Model Organism: Zea mays

root architecture fiber Bragg grating real-time phenotyping deep learning Zea mays

Interactive effect of Moringa oleifera mediated green nanoparticles and arbuscular mycorrhizal fungi on growth, root system architecture, and nutrient uptake in maize (Zea mays L.)

Authors: Ain, Q. u., Hussain, H. A., Rahman, L., Zhang, Q., Rehman, A., Hussain, S., Uddin, S., Imran, A.

Date: 2025-02-25 · Version: 1

DOI: 10.1101/2025.02.23.639791

Model Organism: Zea mays

arbuscular mycorrhizal fungi green nanoparticles Zea mays iron oxide (FeO)zinc oxide (ZnO)

Genetic control of the leaf ionome in pearl millet and correlation with root and agromorphological traits

Authors: Nakombo-Gbassault, P., Arenas, S., Affortit, P., Faye, A., Flis, P., Sine, B., Moukouanga, D., Gantet, P., Kosh Komba, E., Kane, N., Bennett, M., Wells, D., Cubry, P., Bailey, E., Vigouroux, Y., Grondin, A., Laplaze, L.

Date: 2025-02-03 · Version: 1

DOI: 10.1101/2025.01.30.635630

Model Organism: Pennisetum glaucum

ionomics nutrient acquisition pearl millet GWAS candidate genes

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