Keywords: paralog processing, comparative transcriptomics, deep learning, image-based phenotyping

Latest 23 Papers

Deep learning of fossil pollen morphology reveals 25,000 years of ecological change in East African grasslands

Authors: Adaime, M.-E., Kong, S., Urban, M. A., Street-Perrott, F. A., Verschuren, D., Punyasena, S. W.

Date: 2026-01-22 · Version: 3

DOI: 10.1101/2024.09.23.612957

Model Organism: General

deep learning grass pollen morphology C3/C4 plant ratios paleo‑vegetation reconstruction super‑resolution microscopy

Reconstructing coniferous tree crown shape from incomplete point clouds using deep learning

Authors: Bornand, A., Abegg, M., Morsdorf, F., Puliti, S., Astrup, R., Rehush, N.

Date: 2026-01-21 · Version: 1

DOI: 10.64898/2026.01.18.700158

Model Organism: General

deep learning point cloud reconstruction alpha‑shape coniferous tree crowns geometry-aware transformer

Network analysis of flowering time genes suggests regulatory changes among SOC1 orthologues in response to cold in Brassica napus

Authors: Sidhu, G. S., Burrows, S., Woolfenden, H., Wells, R., Morris, R. J.

Date: 2026-01-20 · Version: 2

DOI: 10.64898/2025.12.16.694548

Model Organism: Brassica napus

flowering time gene regulatory network comparative transcriptomics Brassica napus subfunctionalisation

PlantCV v4: Image analysis software for high-throughput plant phenotyping

Authors: Schuhl, H., Brown, K. E., Sheng, H., Bhatt, P. K., Gutierrez, J., Schneider, D., Casto, A. L., Acosta-Gamboa, L., Ballenger, J. G., Barbero, F., Braley, J., Brown, A. M., Chavez, L., Cunningham, S., Dilhara, M., Dimech, A. M., Duenwald, J. G., Fischer, A., Gordon, J. M., Hendrikse, C., Hernandez, G. L., Hodge, J. G., Huber, M., Hurr, B. M., Jarolmasjed, S., Medina Jimenez, K., Kenney, S., Konkel, G., Kutschera, A., Lama, S., Lohbihler, M., Lorence, A., Luebbert, C., Ly, N., Manching, H. K., Marrano, A., Meerdink, S., Miklave, N. M., Mudrageda, P., Murphy, K. M., Peery, J. D., Pierik, R., Polyd

Date: 2025-11-20 · Version: 1

DOI: 10.1101/2025.11.19.689271

Model Organism: General

PlantCV image-based phenotyping fluorescence imaging thermal imaging hyperspectral imaging

Antirrhinum flower shape: unravelling gene expression across developmental axes and boundaries

Authors: Cunha, A. M., Raimundo, J., Verweij, A., Bradley, D., Coen, E., Costa, M. M. R.

Date: 2025-11-11 · Version: 1

DOI: 10.1101/2025.11.10.687484

Model Organism: Antirrhinum majus

Antirrhinum majus dorsoventral axis patterning comparative transcriptomics AmCYC/AmDIV transcription factors NGATHA‑LIKE1‑miR164 regulatory module

Integrating image-based phenotyping and GWAS to map tolerance to Spittlebug nymphs in interspecific Urochloa grasses

Authors: Espitia-Buitrago, P., Perea, C., Mejia-Medina, J. C., Hernandez, L. M., Castiblanco, V., Ryan, C., De Vega, J. J., Jauregui, R. N.

Date: 2025-11-05 · Version: 1

DOI: 10.1101/2025.11.03.686394

Model Organism: Urochloa spp.

Urochloa spittlebug tolerance GWAS QTL image-based phenotyping

Symbiotic diversification relies on an ancestral gene network in plants

Authors: Castanedo, L., Melkonian, K., Vernie, T., Chauderon, L., Pellen, T., Bianconi, M., Lefort, C., Libourel, C., Le Ru, A., Aziz, S., Latorre, C., Thiercelin, O., Rodde, N., Cauet, S., Callot, C., Forrest, L., Nishiyama, T., Wickell, D., Li, F.-W., Keller, J., Delaux, P.-M.

Date: 2025-11-03 · Version: 2

DOI: 10.1101/2025.04.01.646537

Model Organism: Marchantia paleacea

ericoid mycorrhizae intracellular symbiosis ancestral gene module liverwort comparative transcriptomics