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AI-summarized plant biology research papers from bioRxiv

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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

Root phenolics as potential drivers of preformed defenses and reduced disease susceptibility in a paradigm bread wheat mixture

Authors: Mathieu, L., Chloup, A., Marty, S., Savajols, J., Paysant-Le Roux, C., Launay-Avon, A., Martin, M.-L., Totozafy, J.-C., Perreau, F., Rochepeau, A., Rouveyrol, C., Petriacq, P., Morel, J.-B., Meteignier, L.-V., Ballini, E.

Date: 2026-01-14 · Version: 1
DOI: 10.64898/2026.01.13.699261

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study created a system that blocks root‑mediated signaling between wheat varieties in a varietal mixture and used transcriptomic and metabolomic profiling to reveal that root chemical interactions drive reduced susceptibility to Septoria tritici blotch, with phenolic compounds emerging as key mediators. Disruption of these root signals eliminates both the disease resistance phenotype and the associated molecular reprogramming.

root-mediated interactions bread wheat Septoria tritici blotch transcriptomics metabolomics

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

A chloroplast-localized protein AT4G33780 regulates Arabidopsis development and stress-associated responses

Authors: Yang, Z.

Date: 2026-01-03 · Version: 1
DOI: 10.64898/2026.01.03.697459

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

The study characterizes the chloroplast‑localized protein AT4G33780 in Arabidopsis thaliana using CRISPR/Cas9 knockout and overexpression lines, revealing tissue‑specific expression and context‑dependent effects on seed germination, seedling growth, vegetative development, and root responses to nickel stress. Integrated transcriptomic (RNA‑seq) and untargeted metabolomic analyses show extensive transcriptional reprogramming—especially of cell‑wall genes—and altered central energy metabolism, indicating AT4G33780 coordinates metabolic state with developmental regulation rather than controlling single pathways.

AT4G33780 chloroplast regulator Arabidopsis thaliana transcriptomics metabolomics

MATERNAL AUTOPHAGY CONTRIBUTES TO GRAIN YIELD IN MAIZE

Authors: Tang, J., Avin-Wittenberg, T., Vollbrecht, E., Bassham, D.

Date: 2025-12-31 · Version: 1
DOI: 10.64898/2025.12.30.697098

Category: Plant Biology

Model Organism: Zea mays

AI Summary

The study shows that maize plants carrying autophagy-defective atg10 mutations exhibit delayed flowering and significant reductions in kernel size, weight, and number, culminating in lower grain yield. Reciprocal crossing experiments reveal that the maternal genotype, rather than the seed genotype, primarily drives the observed kernel defects, suggesting impaired nutrient remobilization from maternal tissues during seed development.

autophagy atg10 mutant maize yield maternal effect nutrient remobilization

The interplay between autophagy and the carbon/nitrogen ratio as key modulator of the auxin-dependent chloronema-caulonema developmental transition in Physcomitrium patens.

Authors: Pettinari, G., Liberatore, F., Mary, V., Theumer, M., Lascano, R., Saavedra, L. L.

Date: 2025-12-29 · Version: 1
DOI: 10.64898/2025.12.28.696759

Category: Plant Biology

Model Organism: Physcomitrium patens

AI Summary

Using the bryophyte Physcomitrium patens, the study shows that loss of autophagy enhances auxin‑driven caulonemata differentiation and colony expansion under low nitrogen or imbalanced carbon/nitrogen conditions, accompanied by higher internal IAA, reduced PpPINA expression, and up‑regulated RSL transcription factors. Autophagy appears to suppress auxin‑induced differentiation during nutrient stress, acting as a hub that balances metabolic cues with hormonal signaling.

autophagy auxin signaling carbon/nitrogen ratio Physcomitrium patens caulonemata development

Do stomatal movements have a limited dynamic range?

Authors: Muraya, F., Siqueira, J. A., Very, A.-A., Roelfsema, R.

Date: 2025-12-26 · Version: 1
DOI: 10.64898/2025.12.22.695892

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

The study examined the roles of AtKUP2, AtKUP6, AtKUP8, and GORK potassium transport proteins in guard cell function by performing gas-exchange measurements on mature Arabidopsis leaves. Loss of KUP2/6/8 reduced stomatal conductance, whereas a GORK loss‑of‑function mutant showed increased conductance, yet the magnitude of light‑ and ABA‑induced transpiration changes remained similar across genotypes, suggesting a limited dynamic range for rapid stomatal movements that relies on small ionic osmolytes.

stomatal conductance potassium transporters GORK channel AtKUP2/6/8 Arabidopsis

Dynamic regulation of protein homeostasis underlies acquiredthermotolerance in Arabidopsis

Authors: Bajaj, M., Allu, A. D., Rao, B. J.

Date: 2025-12-26 · Version: 3
DOI: 10.1101/2023.08.04.552042

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

Thermopriming enhances heat stress tolerance by orchestrating protein maintenance pathways: it activates the heat shock response (HSR) via HSFA1 and the unfolded protein response (UPR) while modulating autophagy to clear damaged proteins. Unprimed seedlings cannot mount these responses, leading to proteostasis collapse, protein aggregation, and death, highlighting the primacy of HSR and protein maintenance over clearance mechanisms.

thermopriming heat shock response unfolded protein response autophagy proteostasis

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
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