Keywords: paralog processing, CO2 enrichment, ascorbate, machine learning, proteomics

Latest 31 Papers

Usefulness of scRNA-seq data in predicting plant metabolic pathway genes

Authors: Ma, J., Wang, Z., Zou, L., Wang, X., Zuo, X., Wang, F., Wang, Z., Li, Z., Li, L., Wang, P.

Date: 2025-10-02 · Version: 2

DOI: 10.1101/2024.10.07.617125

Model Organism: Arabidopsis thaliana

metabolic pathway genes single-cell RNA sequencing machine learning co-expression networks prediction accuracy

The seed mitochondrial proteome of Lupinus albus provides insight into energy metabolism during germination

Authors: Angermann, C., Braun, H.-P., Hildebrandt, T. M.

Date: 2025-09-21 · Version: 1

DOI: 10.1101/2025.09.19.677279

Model Organism: Lupinus albus

seed mitochondria Lupinus albus proteomics oxidative phosphorylation germination

Light on its feet: Acclimation to high and low diurnal light is flexible in Chlamydomonas reinhardtii

Authors: Dupuis, S., Chastain, J. L., Han, G., Zhong, V., Gallaher, S. D., Nicora, C. D., Purvine, S. O., Lipton, M. S., Niyogi, K. K., Iwai, M., Merchant, S. S.

Date: 2025-09-02 · Version: 1

DOI: 10.1101/2025.08.28.672467

Model Organism: Chlamydomonas reinhardtii

photoprotection diurnal light acclimation thylakoid ultrastructure transcriptomics proteomics

Unveiling the molecular identity of plant autophagic compartments: A proteo-lipidomic study in Arabidopsis thaliana

Authors: Lupette, J., Chambaud, C., Buridan, M., Castets, J., Wattelet-Boyer, V., Toboso Moreno, I., Kosuth, T., Yatim, C., Dittrich-Domergue, F., Gros, V., Jouhet, J., Claverol, S., Herice, C., Melser, S., Genva, M., Fouillen, L., Bessoule, J.-J., Domergue, F., Bernard, A.

Date: 2025-08-28 · Version: 1

DOI: 10.1101/2025.08.25.671700

Model Organism: Arabidopsis thaliana

autophagy phagophore membrane proteomics lipidomics membrane remodeling

Predicting flowering time using integrated morphophysiological and genomic data with machine learning models

Authors: Babaei, M., Nemati, H., Arouiee, H., Torkamaneh, D.

Date: 2025-08-13 · Version: 1

DOI: 10.1101/2025.08.11.669697

Model Organism: Cannabis sativa

flowering time Cannabis sativa genotyping-by-sequencing machine learning SNP markers

Mycotoxin-driven proteome remodeling reveals limited activation of Triticum aestivum responses to emerging chemotypes integrated with fungal modulation of ergosterols

Authors: Ramezanpour, S., Alijanimamaghani, N., McAlister, J. A., Hooker, D., Geddes-McAlister, J.

Date: 2025-07-01 · Version: 1

DOI: 10.1101/2025.06.30.662327

Model Organism: Triticum aestivum

Fusarium head blight 15ADON/3ANX chemotype proteomics Triticum aestivum Fusarium graminearum

Integrating Load-Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration

Authors: Friedman, S., Averbuch, N., Nevo, T., Moshelion, M.

Date: 2025-06-30 · Version: 2

DOI: 10.1101/2024.11.24.625038

Model Organism: Multi-species

daily transpiration machine learning gravimetric load cells Random Forest XGBoost

Proteomic analysis reveals distinct germination strategies in polymorphic fruits of Haloxylon ammodendron

Authors: Wang, Y. Z., Chen, Z. W., Zhang, H. X., Wang, Z., Jiang, M. L., Yimingniyazi, A., Ren, C.

Date: 2025-06-23 · Version: 1

DOI: 10.1101/2025.06.17.660099

Model Organism: Haloxylon ammodendron

fruit polymorphism seed germination stress tolerance proteomics Haloxylon ammodendron

Dynamic changes to the plastoglobule lipidome and proteome in heat-stressed maize

Authors: Devadasu, E., Susanto, F. A., Schilmiller, A. L., Johnny, C., Lundquist, P. K.

Date: 2025-06-19 · Version: 1

DOI: 10.1101/2025.06.13.659543

Model Organism: Zea mays

heat stress plastoglobules lipid composition Zea mays proteomics

Endophytes induce systemic spatial reprogramming of metabolism in poplar roots under drought

Authors: Aufrecht, J. A., Velickovic, D., Tournay, R., Couvillion, S. P., Balasubramanian, V. K., Winkler, T., Herrera, D., Stanley, R., Doty, S., Ahkami, A. H.

Date: 2025-06-06 · Version: 1

DOI: 10.1101/2025.06.02.657501

Model Organism: General

beneficial endophytes drought stress root metabolome chemical imaging machine learning

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