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AI-summarized plant biology research papers from bioRxiv

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Latest 96 Papers

The genetic architecture of leaf vein density traits and its importance for photosynthesis in maize

Authors: Coyac-Rodriguez, J. L., Perez-Limon, S., Hernandez-Jaimes, E., Hernandez-Coronado, M., Camo-Escobar, D., Alonso-Nieves, A. L., Ortega-Estrada, M. d. J., Gomez-Capetillo, N., Sawers, R. J., Ortiz-Ramirez, C. H.

Date: 2026-01-15 · Version: 1
DOI: 10.64898/2026.01.14.699362

Category: Plant Biology

Model Organism: Zea mays

AI Summary

Using diverse Mexican maize varieties and a MAGIC population, the study demonstrated that leaf vein density is both variable and plastic, correlating positively with photosynthetic rates for small intermediate veins and increasing under heat in drought-adapted lines. Twelve QTLs linked to vein patterning were identified, highlighting candidate genes for intermediate vein development and shedding light on the evolution of high-efficiency C4 leaf architecture.

leaf venation density C4 photosynthesis Zea mays QTL mapping MAGIC population

Physics-Informed Neural Network Methods for Predicting Plant Height Development

Authors: Shao, Y., van Eeuwijk, F., Peeters, C., Zumsteg, O., Athanasiadis, I., van Voorn, G.

Date: 2026-01-14 · Version: 1
DOI: 10.64898/2026.01.14.699475

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study introduces a hybrid modeling framework that integrates a logistic ordinary differential equation with a Long Short-Term Memory neural network to form a Physics-Informed Neural Network (PINN) for predicting wheat plant height. Using only time and temperature as inputs, the PINN outperformed other longitudinal growth models, achieving the lowest average RMSE and reduced variability across multiple random initializations. The results suggest that embedding biological growth constraints within data‑driven models can substantially improve prediction accuracy for plant traits.

Physics-Informed Neural Network logistic ODE Long Short-Term Memory plant height prediction wheat

CRK5 preserves antioxidant homeostasis and prevents cell death during dark-induced senescence through inhibiting the salicylic acid signaling pathway

Authors: Kamran, M., Burdiak, P., Rusaczonek, A., Zarrin Ghalami, R., Karpinski, S.

Date: 2026-01-12 · Version: 1
DOI: 10.64898/2026.01.12.698963

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

The study identifies the cysteine‑rich receptor‑like kinase CRK5 as a negative regulator of salicylic‑acid‑mediated cell death and a positive regulator of antioxidant homeostasis during dark‑induced leaf senescence in Arabidopsis. Loss‑of‑function crk5 mutants display accelerated senescence, elevated ROS and electrolyte leakage, and altered antioxidant enzyme activities, phenotypes that are rescued by suppressing SA biosynthesis or catabolism. Transcriptome analysis reveals extensive deregulation of senescence‑ and redox‑related genes, highlighting CRK5’s central role in coordinating hormonal and oxidative pathways.

dark-induced senescence salicylic acid signaling CRK5 receptor kinase reactive oxygen species antioxidant homeostasis

Southern South American Maize Landraces: A Source of Phenotypic Diversity

Authors: Dudzien, T. L., Freilij, D., Defacio, R. A., Fernandez, M., Paniego, N. B., Lia, V. V., Dominguez, P. G.

Date: 2026-01-03 · Version: 1
DOI: 10.64898/2026.01.02.697242

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study assessed 17 morphological, biochemical, and salt‑stress tolerance traits in 19 maize (Zea mays) landrace accessions from northern Argentina, revealing substantial variation both within and among accessions. Redundancy analysis linked phenotypic variation to the altitude of the collection sites, underscoring the potential of these landraces as sources of diverse biochemical and stress‑related traits for breeding.

Zea mays maize landraces phenotypic diversity biochemical traits salt stress tolerance

Membrane-binding domains define REMORIN phylogeny and provide a predicted structural basis for distinctive membrane nano-environments

Authors: Biermann, D., Gronnier, J.

Date: 2025-12-23 · Version: 1
DOI: 10.64898/2025.12.22.695504

Category: Plant Biology

Model Organism: General

AI Summary

The study reveals that REMORIN protein evolution is primarily driven by diversification of their conserved C-terminal domain, defining four major clades. Structural bioinformatics predicts a common membrane‑binding interface with diverse curvatures and lengths, and suggests that some REMs can form C‑terminal‑mediated oligomers, adding complexity to membrane organization.

REMORIN proteins C-terminal domain membrane nano-organization phylogenetic analysis structural bioinformatics

The influence of heavy metal stress on the evolutionary transition of teosinte to maize

Authors: Acosta Bayona, J. J., Vallebueno-Estrada, M., Vielle-Calzada, J.-P.

Date: 2025-12-22 · Version: 2
DOI: 10.1101/2025.03.17.643647

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study tests whether heavy‑metal stress contributed to maize domestication by exposing teosinte (Zea mays ssp. parviglumis) and the Palomero toluqueno landrace to sublethal copper and cadmium, then analysing genetic diversity, selection signatures, and transcriptomic responses of three chromosome‑5 heavy‑metal response genes (ZmHMA1, ZmHMA7, ZmSKUs5). Results reveal strong positive selection on these genes, heavy‑metal‑induced phenotypes resembling modern maize, and up‑regulation of Tb1, supporting a role for volcanic‑derived metal stress in early maize evolution.

heavy metal stress maize domestication Zea mays positive selection Tb1

Evolution of HMA-integrated tandem kinases accompanied by expansion of target pathogens

Authors: Asuke, S., Tagle, A. G., Hyon, G.-S., Koizumi, S., Murakami, T., Horie, A., Niwamoto, D., Katayama, E., Shibata, M., Takahashi, Y., Islam, M. T., Matsuoka, Y., Yamaji, N., Shimizu, M., Terauchi, R., Hisano, H., Sato, K., Tosa, Y.

Date: 2025-12-16 · Version: 1
DOI: 10.64898/2025.12.15.692859

Category: Plant Biology

Model Organism: Multi-species

AI Summary

The study cloned the resistance genes Rmo2 and Rwt7 from barley and wheat, revealing them as orthologous tandem kinase proteins (TKPs) with an N‑terminal heavy metal‑associated (HMA) domain. Domain‑swapping experiments indicated that the HMA domain dictates effector specificity, supporting a model of TKP diversification into paralogs and orthologs that recognize distinct pathogen effectors.

tandem kinase proteins HMA domain disease resistance barley wheat

Targeting granule initiation and amyloplast structure to create giant starch granules in wheat

Authors: McNelly, R., Esch, L., Ngai, Q. Y., Pohan, K., Stringer, R., Fahy, B., Warren, F., Seung, D.

Date: 2025-12-15 · Version: 1
DOI: 10.64898/2025.12.12.693964

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

Mutations in the plastid division gene PARC6 and the granule initiation gene BGC1 were combined to generate wheat plants with dramatically enlarged A-type starch granules, some exceeding 50 µm, without affecting plant growth, grain size, or overall starch content. The parc6 bgc1 double mutant was evaluated in both glasshouse and field trials, and the giant granules displayed altered viscosity and pasting temperature, offering novel functional properties for food and industrial applications.

starch granule size PARC6 BGC1 wheat giant starch granules

Glycosylated diterpenes associate with early containment of Fusarium culmorum infection across wheat (Triticum aestivum L.) genotypes under field conditions

Authors: Pieczonka, S. A., Dick, F., Bentele, M., Ramgraber, L., Prey, L., Kupczyk, E., Seidl-Schulz, J., Hanemann, A., Noack, P. O., Asam, S., Schmitt-Kopplin, P., Rychlik, M.

Date: 2025-12-04 · Version: 1
DOI: 10.64898/2025.12.02.691979

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The researchers performed a large‑scale field trial with 105 wheat (Triticum aestivum) genotypes inoculated by Fusarium culmorum, combining quantitative deoxynivalenol (DON) profiling and untargeted metabolomics to uncover molecular signatures of infection. Sesquiterpene‑derived metabolites tracked toxin accumulation, whereas glycosylated diterpene conjugates were enriched in low‑DON samples, indicating a potential defensive metabolic pathway.

wheat Fusarium head blight deoxynivalenol untargeted metabolomics diterpene conjugates

The functional divergence of two ethylene receptor subfamilies that exhibit Ca2+-permeable channel activity

Authors: Pan, C., Cheng, J., Lin, Z., Hao, D., Xiao, Z., Ming, Y., Song, W., Liu, L., Guo, H.

Date: 2025-11-29 · Version: 1
DOI: 10.1101/2025.11.28.691086

Category: Plant Biology

Model Organism: General

AI Summary

The study demonstrates that subfamily I ethylene receptors form the core ethylene‑sensing module and act epistatically over subfamily II receptors, uniquely possessing Ca2+‑permeable channel activity that drives ethylene‑induced cytosolic calcium influx. This reveals a mechanistic link whereby subfamily I receptors integrate hormone perception with calcium signaling in plants.

ethylene signaling subfamily I receptors Ca2+ influx epistasis hormone‑induced calcium channel
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