Keywords: transcriptomics, decoding modules, transcriptome analysis, phenotyping, ascorbate, local adaptation

Latest 49 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

MYB93 regulates responses to environmental sulphur in Arabidopsis and tomato.

Authors: Cao, X., Wilkinson, H. B., Hutton, B., McMulkin, N., Graham, N. S., Etherington, R., Oliver, A. G., Clayton, C. M., Kaur, H., Coates, J. C.

Date: 2025-03-07 · Version: 1

DOI: 10.1101/2025.03.04.641362

Model Organism: Arabidopsis thaliana

sulfur nutrition AtMYB93 root development transcriptome analysis elemental analysis

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

Phytochrome A is required for light-inhibited germination of Aethionema arabicum seed

Authors: Merai, Z., Xu, F., Hajdu, A., Kozma-Bognar, L., Dolan, L.

Date: 2025-02-28 · Version: 1

DOI: 10.1101/2025.02.26.640300

Model Organism: Aethionema arabicum

negative photoblastic germination phytochrome A Aethionema arabicum high‑irradiance response local adaptation

Transcriptome differentiation in Cryptomeria japonica trees with different origins growing in the north and south of Japan

Authors: Ujino-Ihara, T., Uchiyama, K., Kanetani, S., Suyama, Y., Tsumura, Y.

Date: 2025-02-25 · Version: 1

DOI: 10.1101/2025.02.22.639673

Model Organism: Cryptomeria japonica

local adaptation transcriptome analysis weighted gene co‑expression network analysis (WGCNA)SNP differentiation defense response genes

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

Remote sensing reveals inter- and intraspecific variation in riparian cottonwood (Populus spp) response to drought

Authors: Seeley, M., Wiebe, B. C., Gehring, C. A., Hultine, K., Posch, B. C., Cooper, H. F., Schaefer, E. A., Bock, B. M., Abraham, A. J., Moran, M. E., Keith, A., Allan, G. J., Scull, M., Whitham, T. G., Martin, R. E., Asner, G. P., Doughty, C.

Date: 2025-02-19 · Version: 1

DOI: 10.1101/2025.02.17.638728

Model Organism: Populus fremontii

drought response leaf-level VSWIR spectroscopy UAV thermal imaging genotype-by-environment interaction local adaptation

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