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AI-summarized plant biology research papers from bioRxiv

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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

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

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

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

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

Assessing Drought Resilience and Identification of High Yielding Upland Rice Varieties through Phenology, Growth and Yield Traits

Authors: Hussain, T., Anothai, J., Nualsri, C., Ali, A., Ali, M. F., Khomphet, T.

Date: 2025-12-23 · Version: 1
DOI: 10.64898/2025.12.20.695743

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

Sixteen upland rice varieties were evaluated under three irrigation regimes (100%, 70%, and 50% field capacity) with additional six‑day water withholding to simulate moderate and severe drought. Yield losses ranged from 35% to 78% depending on stress level, and varieties Dawk Kha, Khao/Sai, and Dawk Pa‑yawm showed the greatest stability, suggesting they are promising for breeding drought‑resilient upland rice.

upland rice drought stress field capacity irrigation yield loss varietal stability

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

Network Inference Reveals Distinct Transcriptional Regulation in Barley against Drought and Fusarium Head Blight

Authors: Steidele, C. E., Kersting, J., Hoheneder, F., List, M., Hueckelhoven, R.

Date: 2025-12-09 · Version: 1
DOI: 10.64898/2025.12.09.693163

Category: Plant Biology

Model Organism: Hordeum vulgare

AI Summary

The study used Weighted Gene Correlation Network Analysis (WGCNA) and GENIE3 to construct co‑expression modules and gene regulatory networks (GRNs) in barley subjected to Fusarium head blight and drought stress. Integration of these approaches highlighted overlapping regulatory patterns, pinpointing WRKY transcription factors as central to FHB response, while bHLH and NAC family members showed stress‑specific roles. Promoter motif enrichment further validated predicted TF‑target interactions, offering candidate regulators for future functional validation.

Fusarium head blight drought stress Barley transcription factor networks co‑expression analysis
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