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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

Overexpression of PtaHDG11 enhances drought tolerance and suppresses trichome formation in Populus tremula x Populus alba

Authors: Fendel, A., Fladung, M., Bruegmann, T.

Date: 2026-01-13 · Version: 1
DOI: 10.64898/2026.01.12.699028

Category: Plant Biology

Model Organism: Populus tremula × Populus alba

AI Summary

The study identified the poplar homolog of Arabidopsis HDG11 and generated transgenic poplar hybrids overexpressing PtaHDG11. Constitutive expression conferred markedly improved drought tolerance, as evidenced by higher leaf water content, reduced oxidative damage, up‑regulation of antioxidant genes, and greater post‑stress biomass, while also causing a glabrous phenotype. These results highlight PtaHDG11 as a promising target for breeding drought‑resilient trees.

HDG11 drought tolerance Populus hybrid antioxidant genes transgenic overexpression

The CCCH Zinc Finger Gene PgCCCH50 from Pearl Millet Confers Drought and Salt Tolerance through an ABA-Dependent PgAREB1-PgCCCH50 Module

Authors: xie, z., zhu, J., Yu, G., Ma, X., Zhou, Y., Yan, H., Huang, L.

Date: 2025-12-25 · Version: 1
DOI: 10.64898/2025.12.23.696222

Category: Plant Biology

Model Organism: Pennisetum glaucum

AI Summary

The authors performed a genome-wide analysis of 53 CCCH zinc‑finger genes in pearl millet, identified seven stress‑responsive members and demonstrated that overexpressing PgC3H50 in Arabidopsis enhances drought and salt tolerance. They showed that the ABA‑responsive transcription factor PgAREB1 directly binds the PgC3H50 promoter, activating its expression, as confirmed by yeast one‑hybrid, dual‑luciferase and EMSA assays, defining a new PgAREB1‑PgC3H50 regulatory module.

CCCH zinc finger proteins drought tolerance salinity stress ABA signaling Pearl millet

Transcriptome and epigenome dynamics underpin cold stress priming in Arabidopsis

Authors: Sadykova, M., Saze, H.

Date: 2025-12-17 · Version: 1
DOI: 10.64898/2025.12.16.694799

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

The study examined how DNA methylation influences cold stress priming in Arabidopsis thaliana, revealing that primed plants exhibit distinct gene expression and methylation patterns compared to non-primed plants. DNA methylation mutants, especially met1 lacking CG methylation, showed altered cold memory and misregulation of the CBF gene cluster, indicating that methylation ensures transcriptional precision during stress recall.

stress priming DNA methylation cold stress Arabidopsis thaliana transcriptome dynamics

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

GWAs reveals SUBER GENE1-mediated suberization via Type One Phosphatases

Authors: Han, J.-P., Lefebvre-Legendre, L., Yu, J., Capitao, M. B., Beaulieu, C., Gully, K., Shukla, V., Wu, Y., Boland, A., Nawrath, C., Barberon, M.

Date: 2025-12-12 · Version: 2
DOI: 10.1101/2025.05.06.652434

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

Using a forward genetic screen of 284 Arabidopsis thaliana accessions, the study identified extensive natural variation in root endodermal suberin and pinpointed the previously unknown gene SUBER GENE1 (SBG1) as a key regulator. GWAS and protein interaction analyses revealed that SBG1 controls suberin deposition by binding type‑one protein phosphatases (TOPPs), with disruption of this interaction or TOPP loss‑of‑function altering suberin levels, linking the pathway to ABA signaling.

suberin deposition Arabidopsis thaliana GWAS SBG1 TOPP phosphatases

Genetic Insights from Line x Tester Analysis of Maize Lethal Necrosis Testcrosses for Developing Multi-Stress-Resilient Hybrids in Sub-Saharan Africa

Authors: Gowda, M., Beyene, Y., L.M., S., Ogugo, V., Amadu, M. K., Chaikam, V.

Date: 2025-12-09 · Version: 1
DOI: 10.64898/2025.12.07.692857

Category: Plant Biology

Model Organism: Zea mays

AI Summary

A comprehensive multi‑environment trial of 437 maize testcross hybrids derived from 38 MLN‑tolerant lines and 29 testers identified additive genetic effects as the primary driver of grain yield, disease resistance, and drought tolerance. Strong general combining ability and specific combining ability patterns were uncovered, with top hybrids delivering up to 5.75 t ha⁻¹ under MLN pressure while maintaining high performance under optimum and drought conditions. The study provides a framework for selecting elite parents and exploiting both additive and non‑additive effects to develop resilient maize hybrids for sub‑Saharan Africa.

maize lethal necrosis (MLN) drought tolerance grain yield combining ability GGE biplot
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