Keywords: paralog processing, ascorbate, FACE, photosynthetic efficiency

Latest 11 Papers

Prime editing of an evolutionarily informed PEPC residue enhances photosynthesis and grain nutrition in C₃ rice

Authors: Panda, S., Halder, T., Ghosh, C., Dash, M., Panda, D., Karmakar, S., Avinash, S. P., Behera, D., Mandol, T., Adak, T., Khanam, R., Mahanty, A., Thaikkandiyil, A., Banerjee, S., Chattopadhyay, K., Pandey, A., Datta, S., Kumar, K., Chakraborti, M., Kar, M., Baig, M., Molla, K.

Date: 2026-01-14 · Version: 1

DOI: 10.64898/2026.01.14.699509

Model Organism: Oryza sativa

prime editing phosphoenolpyruvate carboxylase rice (Oryza sativa)photosynthetic efficiency grain nutrient enrichment

Physiological Characterization under the Influence of Drought Stress and Salicylic Acid in Valeriana wallichii DC

Authors: Ansari, S., Patni, B., Jangpangi, D., Joshi, H. C., Bhatt, M. K., Purohit, V.

Date: 2026-01-09 · Version: 1

DOI: 10.64898/2026.01.09.698547

Model Organism: Valeriana wallichii

drought stress salicylic acid Valeriana wallichii photosynthetic efficiency water use efficiency

Linking biosurface reactivity and photosynthesis to investigate Sphagnum mosses as peatland engineers

Authors: Di Palma, A., Pallozzi, E., Gonzalez, A. G., Pokrovsky, O. S., Reski, R., Glime, J., Kavasi, N., Calfapietra, C.

Date: 2025-12-12 · Version: 1

DOI: 10.64898/2025.12.10.693362

Model Organism: Multi-species

Sphagnum photosynthetic efficiency surface chemistry biosorption potential pH-dependent photosynthesis

HY5 enhances Arabidopsis tolerance to combined high light and heat stress by coordinating photoprotection and hormone signaling

Authors: Balfagon, D., Segarra-Medina, C., Chavez-Jacome, D., dos Reis de Oliveira, T., Santa-Catarina, C., Silveira, V.

Date: 2025-12-12 · Version: 1

DOI: 10.64898/2025.12.08.693111

Model Organism: Arabidopsis thaliana

HY5 transcription factor high light heat stress photosynthetic efficiency non‑photochemical quenching Arabidopsis thaliana

Evaluating effects of elevated and accelerated NPQ relaxation on yield, physiology and transcription in soybean

Authors: Singh, D., de Souza, A. P., Doran, L., Hansen, J., Burgess, S. J.

Date: 2025-11-20 · Version: 1

DOI: 10.1101/2025.11.19.689310

Model Organism: Glycine max

photosynthetic efficiency elevated CO2 transgenic soybean VPZ construct transcriptomics

Phylogenomic challenges in polyploid-rich lineages: Insights from paralog processing and reticulation methods using the complex genus Packera (Asteraceae: Senecioneae)

Authors: Moore-Pollard, E. R., Ellestad, P., Mandel, J.

Date: 2025-10-13 · Version: 2

DOI: 10.1101/2025.09.14.676143

Model Organism: Multi-species

phylogenomic discordance polyploidy paralog processing Packera historical biogeography

Plasticity and adaptation to high light intensity amplify the advantage of amphistomatous leaves

Authors: Muir, C. D., Lim, W. S., Wang, D.

Date: 2025-08-23 · Version: 1

DOI: 10.1101/2025.08.19.671015

Model Organism: wild tomatoes

amphistomy stomatal distribution photosynthetic efficiency wild tomatoes light intensity

Arabidopsis lines with modified ascorbate concentrations reveal a link between ascorbate and auxin biosynthesis

Authors: Fenech, M., Zulian, V., Moya-Cuevas, J., Arnaud, D., Morilla, I., Smirnoff, N., Botella, M. A., Stepanova, A. N., Alonso, J. M., Martin-Pizarro, C., Amorim-Silva, V.

Date: 2025-05-16 · Version: 1

DOI: 10.1101/2025.05.15.654287

Model Organism: Arabidopsis thaliana

ascorbate Arabidopsis thaliana auxin biosynthesis redox homeostasis transcriptomics

Multi-year study on the effects of elevated CO2 in mature oaks unravels subtle metabolic adjustments but stable biotic stress resistance

Authors: Sanchez-Lucas, R., Raw, M., Datta, A., Hawkins, K., Brettle, D., Platt, E. A., Ullah, S., Hart, K., Mayoral, C., Stegner, M., Kranner, I., Hayward, S. A., Pastor, V., MacKenzie, A. R., Luna, E.

Date: 2025-05-06 · Version: 1

DOI: 10.1101/2025.05.03.652050

Model Organism: Quercus robur

elevated CO2 Quercus robur metabolomic profiling biotic stress FACE

Field-based prediction of sugarcane photosynthesis through environmental inputs

Authors: Almeida, R. L., Martins, T. S., Magalhaes, J. R., Pires, R. C. M., Landell, M. G. A., Xavier, M. A., Machado, E. C., Ribeiro, R.

Date: 2025-03-13 · Version: 1

DOI: 10.1101/2025.03.11.642581

Model Organism: Saccharum officinarum

Saccharum officinarum photosynthetic efficiency environmental variables CO2 assimilation regression modeling

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