Keywords: paralog processing, comparative transcriptomics, yield, gene regulatory network

Latest 19 Papers

Ethylene Receptor Gain- and Loss-of-function Mutants Reveal an ETR1-dependent Transcriptional Network in Roots

Authors: White, M. G., Harkey, A., Muhlemann, J. K., Olex, A. L., Pfeffer, N. J., Houben, M., Binder, B., Muday, G. K.

Date: 2025-06-22 · Version: 3

DOI: 10.1101/2024.06.26.600793

Model Organism: Arabidopsis thaliana

ethylene signaling ETR1 root development gene regulatory network Arabidopsis

Single-Nucleus Transcriptomics Reveals How Tissue Context Shapes the Circadian Transcriptome of the Arabidopsis Leaf

Authors: Zulfiqar, A., Myers, Z. A., Menon, A., Greenham, K.

Date: 2025-06-16 · Version: 1

DOI: 10.1101/2025.06.12.659411

Model Organism: Arabidopsis thaliana

circadian regulation single-nucleus RNA-seq cell-type-specific expression Arabidopsis thaliana leaf gene regulatory network

Stage-resolved gene regulatory network analysis reveals developmental reprogramming and genes with robust stem-preferred expression in sorghum

Authors: Fu, J., James, B., Hetti-Arachchilage, M., Lei, Y., McKinley, B., Kurtz, E., Barry, K., Moose, S. P., Mullet, J. E., Swaminathan, K., Marshall-Colon, A.

Date: 2025-05-30 · Version: 1

DOI: 10.1101/2025.05.27.656329

Model Organism: Sorghum bicolor

Sorghum bicolor stem organ-specific expression stem-specific transcription factors gene regulatory network bioenergy feedstock

2-Oxoglutarate-dependent dioxygenases contribute to cardenolide biosynthesis in Erysimum cheiranthoides (wormseed wallflower)

Authors: Younkin, G., Holland, C. K., Jander, G.

Date: 2025-04-16 · Version: 1

DOI: 10.1101/2025.04.10.648230

Model Organism: Erysimum cheiranthoides

cardenolide biosynthesis 2‑oxoglutarate‑dependent dioxygenases hydroxylation comparative transcriptomics enzyme modeling

Comparative transcriptomics uncovers plant and fungal genetic determinants of mycorrhizal compatibility

Authors: Marques-Galvez, J. E., de Freitas Pereira, M., Nehls, U., Ruytinx, J., Barry, K., Peter, M., Martin, F., Grigoriev, I. V., Veneault-Fourrey, C., Kohler, A.

Date: 2025-04-14 · Version: 1

DOI: 10.1101/2025.04.11.648352

Model Organism: Populus

ectomycorrhizal symbiosis poplar comparative transcriptomics gene regulons compatibility

High radiosensitivity in the conifer Norway spruce (Picea abies) due to lesscomprehensive mobilisation of protection and repair responses compared to the radiotolerant Arabidopsis thaliana

Authors: Bhattacharjee, P., Blagojevic, D., Lee, Y., Gillard, G. B., Gronvold, L., Hvidsten, T. R., Sandve, S. R., Lind, O. C., Salbu, B., Brede, D. A., Olsen, J. E.

Date: 2025-04-14 · Version: 3

DOI: 10.1101/2023.11.20.562501

Model Organism: Multi-species

ionising radiation radiosensitivity comparative transcriptomics DNA damage repair antioxidant response

Transcriptional plasticity of fast core chromosomes governs establishment of a fungal pathogen on evolutionarily distant plant lineages

Authors: Srivastava, V., Kaushik L S, S., Pullagurla, N. J., Zechmann, B., Di Pietro, A., Laha, D., Redkar, A.

Date: 2025-03-28 · Version: 1

DOI: 10.1101/2025.03.27.645276

Model Organism: Marchantia polymorpha

Fusarium oxysporum Marchantia polymorpha effector genes fast core chromosomes comparative transcriptomics

Genome sequence and RNA-seq analysis reveal genetic basis of flower coloration in the giant water lily Victoria cruziana

Authors: Nowak, M. S., Harder, B., Meckoni, S. N., Friedhoff, R., Wolff, K., Pucker, B.

Date: 2025-02-28 · Version: 2

DOI: 10.1101/2024.06.15.599162

Model Organism: Victoria cruziana

Victoria cruziana flower color change anthocyanin biosynthesis comparative transcriptomics genome assembly

Herbaria provide a valuable resource for obtaining informative mRNA

Authors: Tyszka, A. S., Chia, K.-S., Bretz, E. C., Mansour, L., Larson, D. A., Carella, P., Walker, J. F.

Date: 2025-02-17 · Version: 1

DOI: 10.1101/2025.02.12.637878

Model Organism: General

archival RNA herbarium transcriptomics transcriptome assembly plant immune receptor comparative transcriptomics

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