Keywords: paralog processing, transcriptomic analysis, machine learning, ascorbate, transcriptomics, autophagy

Latest 67 Papers

S2-PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides

Authors: Vomo Donfack, K. L., Abaach, M., Luna, A. M., Ginot, G., Doblas, V. G., Morilla, I.

Date: 2025-05-06 · Version: 2

DOI: 10.1101/2024.08.02.606319

Model Organism: General

small signalling peptides machine learning protein language models geometric-topological analysis reinforcement learning

Comparative multi-omics profiling of Gossypium hirsutum and Gossypium barbadense fibers at high temporal resolution reveals key differences in polysaccharide composition and associated glycosyltransferases

Authors: Swaminathan, S., Lee, Y., Grover, C. E., DeTemple, M. F., Mugisha, A. S., Sichterman, L. E., Yang, P., Xie, J., Wendel, J. F., Szymanski, D. B., Zabotina, O. A.

Date: 2025-04-30 · Version: 1

DOI: 10.1101/2025.04.26.650795

Model Organism: Multi-species

cotton fiber development polysaccharide composition glycome profiling transcriptomics glycosyltransferases

ERF transcription factor regulons underpin growth-defence trade-off under acute heat stress in rice seedlings

Authors: Nair, A. U., Vishwakarma, S., Guha, T., Kadumuri, R. V., Fritschi, F. B., Chavali, S., Allu, A. D.

Date: 2025-04-22 · Version: 1

DOI: 10.1101/2025.04.21.649784

Model Organism: Oryza sativa

heat stress Oryza sativa seedling transcriptomics ethylene responsive factors phytohormone treatment

The autophagy-related genes AtATG5 and AtATG7 influence reserve mobilisation and responses to ABA during seed germination in Arabidopsis thaliana

Authors: Contreras, E., Sanchez-Vicente, I., Pastor-Mora, E., Aylon-Rodriguez, M., Gonzalez-Ceballos, M., Delgado-Gutierrez, M. A., Lorenzo, O., Vicente-Carbajosa, J., Iglesias-Fernandez, R.

Date: 2025-04-21 · Version: 2

DOI: 10.1101/2024.05.15.593177

Model Organism: Arabidopsis thaliana

autophagy Arabidopsis thaliana ABA signaling ATG5/ATG7 ABI5

A transcriptional dissection of the petty spurge (Euphorbia peplus L.) reproductive structure

Authors: Johnson, A. R., Bao, A., Frank, M. H.

Date: 2025-04-17 · Version: 2

DOI: 10.1101/2024.05.06.592779

Model Organism: Euphorbia peplus

cyathium transcriptomics floral development genes SEP1 paralogs Euphorbia peplus

Welcome pathogens: transient heat dampens the responses to acibenzolar-S-methyl beyond defenses in apple plants

Authors: Chavonet, E., Nguyen, B.-h., Heintz, C., Cournol, R., Siroka, J., Novak, O., Larbat, R., Gaucher, M., Brisset, M.-N., Pantin, F., Degrave, A.

Date: 2025-04-06 · Version: 1

DOI: 10.1101/2025.04.03.647103

Model Organism: Malus domestica

heat stress acibenzolar‑S‑methyl (ASM)induced immunity apple (Malus domestica)transcriptomics

High Density Phenotypic Map of Natural Variation for Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize

Authors: Kunduru, B., Bokros, N. T., Tabaracci, K., Kumar, R., Brar, M. S., Stubbs, C. J., Oduntan, Y., DeKold, J., Bishop, R. H., Woomer, J., Verges, V. L., McDonald, A., McMahan, C. S., DeBolt, S., Robertson, D. J., Sekhon, R.

Date: 2025-04-06 · Version: 1

DOI: 10.1101/2025.04.03.647088

Model Organism: Zea mays

stalk lodging resistance maize phenomics genetic architecture intermediate phenotypes machine learning

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

Root hair lifespan is antagonistically controlled by autophagy and programmed cell death

Authors: Feng, Q., Zhu, S., Wang, X., Liu, Y., Zhao, J., Dagdas, Y., Nowack, M. K.

Date: 2025-03-19 · Version: 1

DOI: 10.1101/2025.03.18.643910

Model Organism: Arabidopsis thaliana

root hair longevity autophagy ATG2 ATG5 ATG7 NAC transcription factors programmed cell death

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