Keywords: paralog processing, intermediate phenotypes, metabolomics

Latest 22 Papers

A Multi-lensed Comparative Analysis of Select Secondary Metabolites Produced by Kale, Brassica oleracea, in Simulated Microgravity Versus Gravity Conditions

Authors: Osano, A., Dill, R., Li, Y., Yan, J., Ray, S., Ude, G., Iro, A.

Date: 2025-10-01 · Version: 1

DOI: 10.1101/2025.09.29.679299

Model Organism: Kale (Brassica oleracea var. acephala)

microgravity flavonoids metabolomics 1H NMR HPTLC

Adaptive Strategies of the invasive aquatic plant, Ludwigia grandiflora subps. hexapetala: Contrasting Plasticity Between Aquatic and Terrestrial Morphotypes.

Authors: Genitoni, J., Vassaux, D., RENAULT, D., Maury, S., BARLOY, D. H.

Date: 2025-09-01 · Version: 1

DOI: 10.1101/2025.08.27.672630

Model Organism: Ludwigia grandiflora subsp. hexapetala

phenotypic plasticity Ludwigia grandiflora invasive species metabolomics phytohormones

Stress-dependent responses of grapevine wood and fungal pathogen activity under esca and drought

Authors: Chambard, M., Cantu, D., Bortolami, G., Dell'Acqua, N., Ferrer, N., Gambetta, G., Garcia, J., Gastou, P., Massonnet, M., Moretti, S., Rochepeau, A., Petriacq, P., Foulongne-Oriol, M., Delmas, C. E. L.

Date: 2025-08-07 · Version: 1

DOI: 10.1101/2025.08.05.668645

Model Organism: Vitis vinifera

drought stress esca disease grapevine (Vitis vinifera)wood metatranscriptomics metabolomics

Drought and methyl jasmonate memory interact to determine plant functioning under current drought stress in a perennial grass

Authors: Bhatt, T., Rathore, N., Semerad, J., Cajthaml, T., Thakur, D., Munzbergova, Z.

Date: 2025-08-03 · Version: 1

DOI: 10.1101/2025.08.03.668340

Model Organism: Festuca rubra

drought memory methyl jasmonate Festuca rubra transgenerational priming metabolomics

Novel production of structurally diverse and sticky defense metabolites on wild tomatillo fruits

Authors: Nowack, L., Deanna, R., Smith, S. D., Schenck, C. A.

Date: 2025-07-21 · Version: 1

DOI: 10.1101/2025.07.16.665232

Model Organism: Physalis

acylsugars Physalis metabolomics acyltransferase (ASAT1)fruit surface chemistry

Integrative Multi-Omics Analysis Reveals Stress-Specific Molecular Architectures in Soybean under Drought and Rust Infection

Authors: Husein, G., Castro-Moretti, F. R., Prado, M., Amorim, L., Mazzafera, P., Canales, J., Monteiro-Vitorello, C. B.

Date: 2025-07-08 · Version: 1

DOI: 10.1101/2025.07.07.663534

Model Organism: Glycine max

Asian soybean rust drought stress transcriptomics metabolomics co-expression network

Introducing furanocoumarin biosynthetic genes in tomato results in coumarins accumulation and impacted growth

Authors: Bouille, A., Villard, C., Galati, G., Roumani, M., Fauvet, A., Grosjean, J., Hoengenaert, L., Boerjan, W., Ralph, J., Hilliou, F., Robin, C., Hehn, A., Larbat, R.

Date: 2025-07-08 · Version: 1

DOI: 10.1101/2025.07.07.663522

Model Organism: Solanum lycopersicum

metabolic engineering linear furanocoumarin pathway coumarins tomato metabolomics

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

Manipulation of in planta ethylene levels modulates the metabolome of Populus tremula x tremuloides in a microbial-dependent manner.

Authors: Fracchia, F., Guinet, F., Warion, S., Bednareck, M., Chervin, C., Engle, N. L., Tschaplinski, T. J., Veneault-Fourrey, C., Deveau, A.

Date: 2025-03-17 · Version: 1

DOI: 10.1101/2025.03.17.643694

Model Organism: Populus tremula × Populus tremuloides

ethylene signaling poplar microbiota fungal and bacterial community assembly metabolomics root exudates

Temporal analysis of physiological phenotypes identifies novel metabolic and genetic underpinnings of senescence in maize

Authors: Brar, M. S., Kumar, R., Kunduru, B., McMahan, C. S., Tharayil, N., Sekhon, R. S.

Date: 2025-03-12 · Version: 1

DOI: 10.1101/2025.03.07.641920

Model Organism: Zea mays

leaf senescence staygreen metabolomics phenylpropanoids maize

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