Keywords: decoding modules, transcriptome profiling, wheat, RNA sequencing

Latest 30 Papers

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

alginate oligosaccharides degree of polymerization phytohormone modulation wheat Botrytis cinerea

Transcriptomic analysis of genotypes derived from Rosa wichurana unveils molecular mechanisms associated with quantitative resistance to Diplocarpon rosae

Authors: Lambelin, L., Thouroude, T., Jeauffre, J., Chameau, J., Vilfroy, C., Boursier, C., Aubourg, S., Pelletier, S., Lopez Arias, D. C., Hibrand-Saint Oyant, L., Soufflet-Freslon, V., Foucher, F., Paillard, S.

Date: 2025-06-17 · Version: 1

DOI: 10.1101/2025.06.13.659350

Model Organism: Rosa

black spot disease Diplocarpon rosae quantitative trait loci RNA sequencing plant defense response

Molecular and Phenotypic Characterization of Telomere Repeat Binding (TRBs) Proteins in Moss: Evolutionary and Functional Perspectives

Authors: Kusova, A., Hola, M., Goffova Petrova, I., Rudolf, J., Zachova, D., Skalak, J., Hejatko, J., Klodova, B., Prerovska, T., Lycka, M., Sykorova, E., Bertrand, Y. J. K., Fajkus, J., Honys, D., Prochazkova Schrumpfova, P.

Date: 2025-06-17 · Version: 1

DOI: 10.1101/2025.06.11.659030

Model Organism: Physcomitrium patens

Telomere repeat binding proteins Physcomitrium patens knockout mutants telomere maintenance transcriptome profiling

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

Functional genetics of rice <em>PISTILLATA</em> genes unravels new roles and targets in flowering time, female fertility and parthenocarpy

Authors: Zamzam, M., Basak, R., Singh, S., Prakash, S., Peesapati, R., Khanday, I., Simonini, S., Grossniklaus, U., Vijayraghavan, U.

Date: 2025-03-31 · Version: 2

DOI: 10.1101/2023.08.05.552136

Model Organism: Oryza sativa

lodicule development PI paralogs (OsMADS2/OsMADS4)flowering time regulation genome-wide binding analysis transcriptome profiling

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

AarMIXTAs: key factors of T-shaped non-glandular trichome development in Artemisia argyi

Authors: Chen, X., Wu, D., Li, C., Liao, B., Shen, Q.

Date: 2025-03-07 · Version: 1

DOI: 10.1101/2025.03.06.641095

Model Organism: Artemisia argyi

T-shaped non-glandular trichomes Artemisia argyi AarMIXTA transcription factors RNA sequencing Arabidopsis thaliana transgenic overexpression

Population-scale gene expression analysis reveals the contribution of expression diversity to the modern wheat improvement

Authors: Zhang, Z., Ma, S., Yin, M., Zhao, C., Zhao, X., yu, Y., Wang, H., Li, X., Si, Y., Niu, J., Xie, J., Wang, L., Wu, J., Zhang, Y., Zheng, Q., Zheng, S., Jiang, N., Liu, X., Ling, H.-Q., He, F.

Date: 2025-02-23 · Version: 1

DOI: 10.1101/2025.02.18.638840

Model Organism: Triticum aestivum

gene expression variation pan‑genome eQTL analysis introgression wheat

Plant plasticity in the face of climate change - CO2 offsetting effects to warming and water deficit in wheat. A review.

Authors: Gawinowski, M., Chenu, K., Deswarte, J.-C., Launay, M., Bancal, M.-O.

Date: 2025-02-12 · Version: 1

DOI: 10.1101/2025.02.10.637370

Model Organism: Triticum aestivum

elevated CO2 heat stress drought wheat plasticity indices

TAC-C uncovers open chromatin interaction in crops and SPL-mediated photosynthesis regulation

Authors: Kang, J., Zhang, Z., Lin, X., Liu, F., Song, Y., Zhao, P., Lin, Y., Luo, X., Li, X., Li, Y., Wang, W., Liu, C., Xu, S., Liu, X., Xiao, J.

Date: 2025-02-10 · Version: 1

DOI: 10.1101/2025.02.10.637364

Model Organism: Multi-species

cis-regulatory elements chromatin loops TAC-C photosynthesis regulation wheat

PreviousPage 3 of 3