Keywords: paralog processing, multi-omics, pathogen compatibility, quantitative resistance

Latest 10 Papers

Transcriptional responses of Solanum lycopersicum to three distinct parasites reveal host hubs and networks underlying parasitic successes

Authors: Truch, J., Jaouannet, M., Da Rocha, M., Kulhanek-Fontanille, E., Van Ghelder, C., Rancurel, C., Migliore, O., Pere, A., Jaubert, S., Coustau, C., Galiana, E., Favery, B.

Date: 2026-01-23 · Version: 1

DOI: 10.64898/2026.01.22.701158

Model Organism: Solanum lycopersicum

tomato pathogen compatibility transcriptomics co‑expression network Arabidopsis interactome

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

Predicting complex phenotypes using multi-omics data in maize

Authors: Creach, M., Webster, B., Newton, L., Turkus, J., Schnable, J., Thompson, A., VanBuren, R.

Date: 2025-10-01 · Version: 1

DOI: 10.1101/2025.09.30.679283

Model Organism: Zea mays

multi-omics trait prediction transcriptomics phenomics genotype-by-environment interaction

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

Pioneer bark beetle attacks induce multifaceted localized defense responses in Norway spruce

Authors: Ramires, M. J., Netherer, S., Schebeck, M., Hummel, K., Schlosser, S., Razzazi-Fazeli, E., Ertl, R., Ahmad, M., Espinosa-Ruiz, A., Carrera, E., Arc, E., Martinez-Godoy, M. A., Banos, J., Caballero, T., Ledermann, T., van Loo, M., Trujillo-Moya, C.

Date: 2025-08-07 · Version: 1

DOI: 10.1101/2025.08.06.668443

Model Organism: Picea abies

Norway spruce bark beetle defense multi-omics jasmonic acid phenolic compounds

Virus-induced upregulation of mitochondrial metabolism modulates cytosolic redox balance and defense responses

Authors: Hou, L.-Y., Wu, C.-H., Lin, N.-S.

Date: 2025-07-06 · Version: 1

DOI: 10.1101/2025.07.05.663277

Model Organism: Nicotiana benthamiana

metabolic reprogramming Bamboo mosaic virus mitochondrial metabolism redox balance multi-omics

Multi-Omics Analysis of Heat Stress-Induced Memory in Arabidopsis

Authors: Thirumlaikumar, V. P. P., Yu, L., Arora, D., Mubeen, U., Wisniewski, A., Walther, D., Giavalisco, P., Alseekh, S., DL Nelson, A., Skirycz, A., Balazadeh, S.

Date: 2025-06-23 · Version: 1

DOI: 10.1101/2025.06.19.660594

Model Organism: Arabidopsis thaliana

heat stress acquired thermotolerance heat stress memory multi-omics Arabidopsis thaliana

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

The multiomics landscape of small peptides encoded by long non-coding RNA-derived sORFs in rice

Authors: Chen, Z., Lin, H., Wei, L., Wang, S., Peng, T., Song, W., Wang, D., Wu, Y., Wu, L., Wu, J., Wang, Y.

Date: 2025-04-02 · Version: 1

DOI: 10.1101/2025.04.01.646714

Model Organism: Oryza sativa

long non-coding RNAs small open reading frame peptides multi-omics ribosome profiling LC-MS/MS proteomics