Keywords: paralog processing, codon usage, transcriptome, ascorbate, quantitative resistance

Latest 9 Papers

A novel pathosystem between Aeschynomene evenia and Aphanomyces euteiches reveals new immune components in quantitative legume root-rot resistance.

Authors: Baker, M., Martinez, Y., Keller, J., Sarrette, B., Pervent, M., Libourel, C., Le Ru, A., Bonhomme, M., Gough, C., Castel, B., ARRIGHI, J.-F., Jacquet, C.

Date: 2026-01-11 · Version: 1

DOI: 10.64898/2026.01.11.698850

Model Organism: Aeschynomene evenia

legume immunity Aphanomyces euteiches quantitative resistance transcriptomics Nod factor-independent symbiosis

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae)

Authors: Moore-Pollard, E. R., Ellestad, P., Mandel, J.

Date: 2025-10-13 · Version: 2

DOI: 10.1101/2025.09.14.676143

Model Organism: Multi-species

phylogenomic discordance polyploidy paralog processing Packera historical biogeography

Conserved 'late' effector genes from Leptosphaeria maculans inducing gene-for-gene quantitative resistance in Brassica napus semi-winter genotypes

Authors: Rabeau, C., Wagner, A., Lapalu, N., Jiquel, A., Faure, S., Fudal, I.

Date: 2025-09-23 · Version: 1

DOI: 10.1101/2025.09.22.677120

Model Organism: Brassica napus

Leptosphaeria maculans Brassica napus late effector genes quantitative resistance semi‑winter genotypes

Tomato leaf transcriptomic changes promoted by long-term water scarcity stress can be largely prevented by a fungal-based biostimulant

Authors: Lopez-Serrano, L., Ferez-Gomez, A., Romero-Aranda, R., Jaime Fernandez, E., Leal Lopez, J., Fernandez Baroja, E., Almagro, G., Dolezal, K., Novak, O., Diaz, L., Bautista, R., Leon Morcillo, R. J., Pozueta Romero, J.

Date: 2025-06-28 · Version: 1

DOI: 10.1101/2025.06.26.661737

Model Organism: Solanum lycopersicum

water deficit Trichoderma harzianum culture filtrate tomato drought tolerance transcriptome

Tracking Lesion Growth in the Field: Imaging and Deep Learning Reveal Components of Quantitative Resistance

Authors: Anderegg, J., Roth, L., Zenkl, R., McDonald, B. A.

Date: 2025-05-23 · Version: 1

DOI: 10.1101/2025.05.20.655031

Model Organism: Triticum aestivum

lesion expansion quantitative resistance Zymoseptoria tritici deep learning phenotyping wheat cultivars

Arabidopsis lines with modified ascorbate concentrations reveal a link between ascorbate and auxin biosynthesis

Authors: Fenech, M., Zulian, V., Moya-Cuevas, J., Arnaud, D., Morilla, I., Smirnoff, N., Botella, M. A., Stepanova, A. N., Alonso, J. M., Martin-Pizarro, C., Amorim-Silva, V.

Date: 2025-05-16 · Version: 1

DOI: 10.1101/2025.05.15.654287

Model Organism: Arabidopsis thaliana

ascorbate Arabidopsis thaliana auxin biosynthesis redox homeostasis transcriptomics

Revisiting the Central Dogma: the distinct roles of genome, methylation, transcription, and translation on protein expression in Arabidopsis thaliana

Authors: Zhong, Z., Bailey, M., Kim, Y.-I., Pesaran-Afsharyan, N., Parker, B., Arathoon, L., Li, X., Rundle, C. A., Behrens, A., Nedialkova, D. D., Slavov, G., Hassani-Pak, K., Lilley, K. S., Theodoulou, F. L., Mott, R.

Date: 2025-03-31 · Version: 2

DOI: 10.1101/2025.01.08.631880

Model Organism: Arabidopsis thaliana

Arabidopsis thaliana codon usage gene expression DNA methylation ribosome profiling

Meltome Atlas of Arabidopsis thaliana Proteome: A Melting Temperature-Based Identification of Heat & Cold Resistant Proteins

Authors: Mohanta, T. K., Mohanta, K. M.

Date: 2025-02-25 · Version: 1

DOI: 10.1101/2025.02.22.639691

Model Organism: Arabidopsis thaliana

thermal stability melting temperature (Tm)Arabidopsis thaliana proteome codon usage gene duplication

Transcriptome responses of two Halophila stipulacea seagrass populations from pristine and impacted habitats, to single and combined thermal and excess nutrient stressors, reveal local adaptive features and core stress-response genes

Authors: Nguyen, H. M., Yaakov, B., Beca-Carretero, P., Procaccini, G., Wang, G., Dassanayake, M., Winters, G., Barak, S.

Date: 2025-01-27 · Version: 2

DOI: 10.1101/2025.01.21.634158

Model Organism: Halophila stipulacea

Halophila stipulacea thermal stress nutrient stress combined stressors transcriptome