Keywords: decoding modules, metabarcoding, SNP array, deep learning, transcriptomics, proteomics, genetic diversity

Latest 75 Papers

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

Botanic Spectrum Analyser: A Deep Learning GUI for Plant Image Segmentation in Hyperspectral and RGB Phenotyping

Authors: Walsh, J. J., Gorgu, L., Cavel, E., Poulain, V., Gutierrez, L., Mangina, E., Negrao, S.

Date: 2025-09-17 · Version: 1

DOI: 10.1101/2025.09.14.676080

Model Organism: Multi-species

plant phenotyping image segmentation U‑Net hyperspectral imaging deep learning

Population structure and diversity of common bean (Phaseolus vulgaris L.) landraces in the Peruvian Amazon

Authors: Tobaru, J., Barrera-Lozano, M., Vecco-Giove, C. D., Pelaez, J., Pinchi, M., Vargas, Y., Chuquillanqui, J., Soto-Torres, J., Robles, R., Saravia, D., Petroli, C., Etchevers, J. D., Ortiz, R., Blas, R.

Date: 2025-09-07 · Version: 1

DOI: 10.1101/2025.09.04.674357

Model Organism: Phaseolus vulgaris

Phaseolus vulgaris Amazonian landraces genetic diversity DArTseq SNP genotyping breeding resources

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

DECREASE IN DNA METHYLATION 1-mediated epigenetic regulation maintains gene expression balance required for heterosis in Arabidopsis thaliana

Authors: Matsuo, K., Wu, R., Yonechi, H., Murakami, T., Takahashi, S., Kamio, A., Akter, M. A., Kamiya, Y., Nishimura, K., Matsuura, T., Tonosaki, K., Shimizu, M., Ikeda, Y., Kobayashi, H., Seki, M., Dennis, E. S., Fujimoto, R.

Date: 2025-08-26 · Version: 1

DOI: 10.1101/2025.08.21.671646

Model Organism: Arabidopsis thaliana

heterosis DNA methylation DDM1 Arabidopsis thaliana transcriptomics

Soil phosphate availability modulates the arbuscular mycorrhizal fungal community and mycorrhizal nutrition in wheat

Authors: Trinquier, M., Lecloux, E., Bruno, P., Gasciolli, V., Jouany, C., Roux, C., Lefebvre, B., Ardanuy, A.

Date: 2025-08-09 · Version: 1

DOI: 10.1101/2025.08.08.669323

Model Organism: Triticum aestivum

arbuscular mycorrhizal fungi phosphorus availability nitrogen availability wheat metabarcoding

A sublethal drought and rewatering time course reveals intricate patterning of responses in the annual Arabidopsis thaliana

Authors: Fitzek-Campbell, E., Psaroudakis, D., Weisshaar, B., Junker, A., Braeutigam, A.

Date: 2025-07-27 · Version: 1

DOI: 10.1101/2025.07.25.666782

Model Organism: Arabidopsis thaliana

drought stress Arabidopsis thaliana transcriptomics high‑throughput phenotyping biomarker transcripts

Transcriptomics uncovers molecular mechanisms underlying salt-inhibited root growth in Festuca rubra

Authors: Lan, B., Ru, D., Du, F. K., Yin, K.

Date: 2025-07-26 · Version: 1

DOI: 10.1101/2025.07.22.665687

Model Organism: Festuca rubra

salt stress root growth inhibition Festuca rubra transcriptomics hormone signaling

Phenotypic scoring of Canola Blackleg severity using machine learning image analysis

Authors: Hu, Q., Anderson, S. N., Gardner, S., Ernst, T. W., Koscielny, C. B., Bahia, N. S., Johnson, C. G., Jarvis, A. C., Hynek, J., Coles, N., Falak, I., Charne, D. R., Ruidiaz, M. E., Linares, J. N., Mazis, A., Stanton, D. J.

Date: 2025-07-22 · Version: 1

DOI: 10.1101/2025.07.17.665372

Model Organism: Multi-species

blackleg disease canola (Brassica spp.)deep learning image-based phenotyping disease severity scoring

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