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AI-summarized plant biology research papers from bioRxiv

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Latest 111 Papers

Decoding stage-specific symbiotic programs in the Rhizophagus irregularis-tomato interaction using single-nucleus transcriptomics

Authors: Stuer, N., Leroy, T., Eekhout, T., De Keyser, A., Staut, J., De Rybel, B., Vandepoele, K., Van Damme, P., Van Dingenen, J., Goormachtig, S.

Date: 2026-01-23 · Version: 1
DOI: 10.64898/2026.01.22.701092

Category: Plant Biology

Model Organism: Solanum lycopersicum

AI Summary

The study generated the first single‑nucleus RNA‑sequencing dataset of tomato (Solanum lycopersicum) roots colonized by the arbuscular mycorrhizal fungus Rhizophagus irregularis, revealing distinct transcriptional programs in epidermal and cortical cells across stages of arbuscule development. Using unsupervised subclustering and a Motif‑Informed Network Inference (MINI‑EX) approach, the authors identified candidate transcription factors that may coordinate cell‑cycle reactivation and nutrient integration during symbiosis, offering a resource for future functional genetics.

arbuscular mycorrhizal symbiosis single-nucleus RNA sequencing Solanum lycopersicum transcription factor network inference root cortical development

A Savory-based Formulation for Sustainable Management of Early Blight caused by Alternaria solani and Preservation of Tomato Fruit Quality

Authors: Lak, F., Omrani, A., Nikkhah, M. J., Gohari, A. M., Nicolaisen, M., Abuali, M., Ahmadzadeh, M.

Date: 2026-01-22 · Version: 1
DOI: 10.64898/2026.01.20.700539

Category: Plant Biology

Model Organism: Solanum lycopersicum

AI Summary

The study assessed three savory essential oil–based formulations for controlling early blight caused by Alternaria solani in tomato, finding that formulation CC2020 most effectively reduced disease severity in both in vitro and greenhouse trials. CC2020 also helped maintain tomato fruit vitamin C levels and lowered fungal melanin production, indicating dual benefits for disease suppression and fruit quality.

early blight Solanum lycopersicum savory essential oil biocompatible formulation fruit quality

Initiation of asexual reproduction by the AP2/ERF gene GEMMIFER in Marchantia polymorpha

Authors: Takahashi, G., Yamaya, S., Romani, F., Bonter, I., Ishizaki, K., Shimamura, M., Kiyosue, T., Haseloff, J., Hirakawa, Y.

Date: 2026-01-16 · Version: 1
DOI: 10.64898/2026.01.16.699827

Category: Plant Biology

Model Organism: Marchantia polymorpha

AI Summary

The study identifies the AP2/ERF transcription factor GEMMIFER (MpGMFR) as essential for asexual reproduction in the liverwort Marchantia polymorpha, showing that loss of MpGMFR via genome editing or amiRNA abolishes gemma and gemma cup formation, while dexamethasone‑induced activation triggers their development. Transient strong activation of MpGMFR initiates gemma initial cells at the meristem, which mature into functional gemmae, indicating MpGMFR is both necessary and sufficient for meristem‑derived asexual propagule formation.

MpGMFR AP2/ERF gemmae Marchantia polymorpha asexual reproduction

A drought stress-induced MYB transcription factor regulates pavement cell shape in leaves of European aspen (Populus tremula)

Authors: Liu, S., Doyle, S. M., Robinson, K. M., Rahneshan, Z., Street, N. R., Robert, S.

Date: 2026-01-16 · Version: 1
DOI: 10.64898/2026.01.16.699252

Category: Plant Biology

Model Organism: Populus tremula

AI Summary

The study examined leaf pavement cell shape complexity across a natural European aspen (Populus tremula) population, using GWAS to pinpoint the transcription factor MYB305a as a regulator of cell geometry. Functional validation showed that MYB305a expression is induced by drought and contributes to shape simplification, with cell complexity negatively correlated with water-use efficiency and climatic variables of the genotypes' origin.

leaf pavement cells Populus tremula MYB305a GWAS drought stress

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

Wheat diversity reveals new genomic loci and candidate genes for vegetation indices using genome-wide association analysis

Authors: Rustamova, S., Jahangirov, A., Leon, J., Naz, A. A., Huseynova, I.

Date: 2026-01-14 · Version: 1
DOI: 10.64898/2026.01.14.699455

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

A genome‑wide association study of 187 bread wheat genotypes identified 812 significant loci linked to 25 spectral vegetation indices under rainfed drought conditions, revealing a major QTL hotspot on chromosome 2A that accounts for up to 20% of variance in greenness and pigment traits. Candidate gene analysis at this hotspot uncovered stress‑responsive genes, demonstrating that vegetation indices are heritable digital phenotypes useful for selection and genetic analysis of drought resilience.

Triticum aestivum drought stress spectral vegetation indices GWAS QTL hotspot

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

Category: Plant Biology

Model Organism: Valeriana wallichii

AI Summary

The study investigated the ability of foliar-applied salicylic acid (SA) to alleviate drought stress in the high‑altitude medicinal plant Valeriana wallichii by measuring physiological and biochemical responses during vegetative and flowering stages. SA at specific concentrations improved photosynthetic rates, water‑use efficiency, chlorophyll content, membrane stability, and root biomass under both severe (25% field capacity) and moderate (50% field capacity) drought conditions. These results suggest that SA treatment enhances drought tolerance and productivity in this species.

drought stress salicylic acid Valeriana wallichii photosynthetic efficiency water use efficiency

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

Dynamic ASK1 proximity networks uncover SCF-dependent and noncanonical roles in ABA and drought adaptation

Authors: Rodriguez-Zaccaro, F. D., Moe-Lange, J., Malik, S., Montes-Serey, C., Hamada, N., Groover, A., Walley, J., Shabek, N.

Date: 2025-12-25 · Version: 1
DOI: 10.64898/2025.12.22.696057

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

The study maps the in vivo proximity interactome of Arabidopsis SKP1-LIKE 1 (ASK1) under acute abscisic acid (ABA) signaling and prolonged drought using TurboID-based proximity labeling and quantitative proteomics, revealing condition-specific networks that include both canonical SCF modules and diverse noncanonical partners. Overexpression of ASK1 shifts proteome composition toward drought‑protective and ABA‑responsive proteins while repressing immune and ROS‑scavenging pathways, highlighting ASK1 as a hub that integrates SCF‑dependent and independent pathways to reprogram transcription, translation, and proteostasis during stress adaptation.

ASK1 SCF ubiquitin ligases abscisic acid signaling drought stress TurboID proximity labeling
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