Keywords: paralog processing, CO2 enrichment, wheat, transcriptomics, ascorbate, high‑throughput phenotyping

Latest 59 Papers

Omics-driven Identification of Candidate Genes and SNP markers in a Major QTL Controlling Early Heading in Rice

Authors: Rao, D., T, N. S., CG, G., Gaur, N., Jamaloddin, M., Maganti, S. M., Raman, M. S., Patel, H. K., Tiwari, S., Sonti, R. V.

Date: 2025-03-27 · Version: 1

DOI: 10.1101/2025.03.25.645207

Model Organism: Oryza sativa

heading date rice (Oryza sativa)QTL-seq SNP markers transcriptomics

Multilevel analysis of response to plant growth promoting and pathogenic bacteria in Arabidopsis roots and the role of CYP71A27 in this response

Authors: Koprivova, A., Ristova, D., Berka, M., Berkova, V., Türksoy, G. M., Andersen, T. G., Westhoff, P., Cerny, M., Kopriva, S.

Date: 2025-03-27 · Version: 1

DOI: 10.1101/2025.03.26.645393

Model Organism: Arabidopsis thaliana

CYP71A27 plant‑microbe interaction Pseudomonas fluorescens CH267 Burkholderia glumeae PG1 transcriptomics

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

The FIP 1.0 Data Set: Highly Resolved Annotated Image Time Series of 4,000 Wheat Plots Grown in Six Years

Authors: Roth, L., Boss, M., Kirchgessner, N., Aasen, H., Aguirre-Cuellar, B. P., Akiina, P. P. A., Anderegg, J., Gajardo Castillo, J., Chen, X., Corrado, S., Cybulski, K., Keller, B., Kortstee, S. G., Kronenberg, L., Liebisch, F., Nousi, P., Oppliger, C., Perich, G., Pfeifer, J., Yu, K., Storni, N., Tschurr, F., Volpi, M., Treier, S., Zellweger, H., Zumsteg, O., Hund, A., Walter, A.

Date: 2025-03-11 · Version: 3

DOI: 10.1101/2024.10.04.616624

Model Organism: Triticum aestivum

genotype‑environment interaction winter wheat high‑throughput phenotyping genomic prediction crop modeling

The genome of the vining fern Lygodium microphyllum highlights genomic and functional differences between life phases of an invasive plant

Authors: Pelosi, J., Davenport, R., Kuo, L.-Y., Gray, L. N., Dant, A. J., Kim, E. H., Li, F.-W., Dlugosch, K. M., Krabbenhoft, T. J., Barbazuk, W. B., Sessa, E. B.

Date: 2025-03-07 · Version: 1

DOI: 10.1101/2025.03.06.640867

Model Organism: Lygodium microphyllum

Lygodium microphyllum alternation of generations transcriptomics methylome invasive species

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

Transcriptomic insights into the role of miR394 in the regulation of flowering time in Arabidopsis thaliana

Authors: Belen, F., Bernardi, Y., Reutemann, A., Vegetti, A., Dotto, M. C.

Date: 2025-02-20 · Version: 1

DOI: 10.1101/2025.02.15.638417

Model Organism: Arabidopsis thaliana

miR394 flowering time Arabidopsis thaliana transcriptomics lncRNA

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

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