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AI-summarized plant biology research papers from bioRxiv

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Latest 4 Papers

Simulating C3-to-CAM transition under ancient atmospheric conditions

Authors: Sarkar, D., Kundu, S.

Date: 2025-12-07 · Version: 2
DOI: 10.1101/2025.09.11.675551

Category: Plant Biology

Model Organism: General

AI Summary

The authors used computational simulations of plant cellular metabolism under historical atmospheric conditions to demonstrate that reduced CO₂ and increased aridity can drive the evolutionary transition from C₃ to CAM photosynthesis. Their results suggest that while future elevated CO₂ may favor a reversion to C₃-like behavior, drought consistently promotes CAM regardless of CO₂ or temperature, and a minimum O₂ level is required for nocturnal respiration in CAM.

Crassulacean Acid Metabolism C3-to-CAM transition atmospheric CO₂ drought stress metabolic simulation

Immunovisualization of spatial changes in leaves and root tissue associated with drought stress in wheat (Triticum aestivum L.)

Authors: Leszczuk, A., Kutyrieva-Nowak, N., Skrzypek, T.

Date: 2025-10-07 · Version: 1
DOI: 10.1101/2025.10.06.680837

Category: Plant Biology

Model Organism: General

AI Summary

The study employed immunofluorescence labeling and fluorescence intensity quantification to examine tissue-specific cellular modifications in plants under drought stress, revealing targeted alterations in proteoglycans, polysaccharides, and AGPs in leaves and roots. These findings highlight the importance of in planta analyses for accurately capturing stress-induced structural changes.

drought stress immunofluorescence labeling proteoglycans arabinogalactan proteins (AGP) tissue-specific adaptation

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

Category: Plant Biology

Model Organism: General

AI Summary

The study used high-resolution chemical imaging to map cell-type specific metabolic changes in drought-stressed plant roots inoculated with a nine‑strain endophyte consortium, revealing distinct alterations across root zones. Machine‑learning models identified root metabolites and exudates that predict drought and endophyte treatment status, and correlation analyses showed that endophyte‑metabolite relationships dynamically shift under drought conditions.

endophytes root metabolome drought stress chemical imaging machine learning

New evidence for the presence and function of phosphoinositides (PPIs) in the chloroplast

Authors: Sedaghatmehr, M., Roessler, F., Hertle, A. P.

Date: 2025-03-13 · Version: 2
DOI: 10.1101/2024.09.06.611683

Category: Plant Biology

Model Organism: General

AI Summary

The study engineered plastid-targeted genetically encoded biosensors to visualize several phosphoinositide species (PI3P, PI4P, PI5P, PI(4,5)P2, PI(3,5)P2) within chloroplasts and confirmed their specificity via immunological assays. Co‑expression with PPI‑modifying enzymes revealed altered biosensor distribution, an association between PI3P and the chloroplast protein VIPP1, and that elevated PPI levels under stress change localization and increase drought sensitivity, highlighting PPIs in plant stress responses.

phosphoinositides chloroplast biosensor VIPP1 drought stress PPI-modifying enzymes