Genetius

AI-summarized plant biology research papers from bioRxiv

View Trends

Latest 53 Papers

Molecular basis of delayed leaf senescence induced by short-term treatment with low phosphate in rice

Authors: Martin-Cardoso, H., Bundo, M., Garcia-Molina, A., San Segundo, B.

Date: 2026-01-24 · Version: 1
DOI: 10.64898/2026.01.23.701354

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study demonstrates that short‑term low phosphate treatment delays leaf senescence in rice by increasing photosynthetic pigments, enhancing antioxidant enzyme activities, and reducing oxidative damage, whereas high phosphate accelerates senescence. CRISPR/Cas9 editing of MIR827 to lower Pi levels also postpones senescence, while overexpression of MIR827 or MIR399, which raises Pi, speeds it up. Transcriptomic profiling reveals coordinated changes in senescence‑associated and metabolic pathways underlying the low‑phosphate response.

phosphate deficiency leaf senescence Oryza sativa CRISPR/Cas9 transcriptomic analysis

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

Comparative Evaluation of Conventional Inorganic Fertilization and Sesbania rostrata Green Manuring on Soil Properties and the Growth and Development of Oryza sativa L. Pant Basmati 1

Authors: Joshi, H. C., Patni, B., Guru, S. K., Bhatt, M. K., Singh, M.

Date: 2025-12-26 · Version: 1
DOI: 10.64898/2025.12.24.696455

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

A two‑year field trial compared conventional and organic nutrient management on the Basmati rice cultivar Pant Basmati 1, revealing that conventional fertilizer enhanced later‑stage growth and grain yield, while organic inputs increased early plant height and markedly improved soil health and harvest index in the second year. Despite some yield differences, organic management achieved comparable productivity with superior soil macro‑ and micronutrient status, water‑holding capacity, aggregate stability, and enzyme activities, supporting its sustainability as an alternative nutrient regime.

Oryza sativa organic nutrient management soil health harvest index Basmati rice

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

DNA methylation mediates transcriptional stability and transposon-driven trans-regulation under drought in wheat

Authors: Reynolds, I. J., Barratt, L. J., Harper, A. L.

Date: 2025-12-05 · Version: 1
DOI: 10.64898/2025.12.04.692301

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study used paired whole‑genome bisulphite sequencing and RNA‑seq on wheat landraces to investigate how DNA methylation patterns change during drought stress, revealing antagonistic trends across cytosine contexts and a key demethylation role for ROS1a family members. Gene‑body methylation correlated positively with expression but negatively with stress‑responsive changes, while drought‑induced hyper‑methylation of specific transposable elements, especially the RLX_famc9 LTR retrotransposon, appears to modulate downstream gene regulation via siRNA precursors.

drought stress DNA methylation Triticum aestivum ROS1a demethylase transposable elements

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 Pik NLR pair accumulates at the plasma membrane as a hetero-oligomeric sensor-helper immune protein complex prior to activation

Authors: Pai, H., Contreras, M. P., Salguero Linares, J., Luedke, D., Posbeyikian, A., Kourelis, J., Kamoun, S., Marchal, C.

Date: 2025-12-02 · Version: 1
DOI: 10.64898/2025.11.30.691369

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study examined the pre‑activation state of the rice NLR pair Pik‑1 (sensor) and Pik‑2 (helper) when transiently expressed in Nicotiana benthamiana leaves. Both wild‑type and engineered Pik‑1 variants constitutively associate with Pik‑2 to form ~1 MDa hetero‑oligomeric complexes that localize to the plasma membrane in the absence of effector. These results reveal that some NLRs exist as pre‑assembled membrane‑associated complexes prior to pathogen perception.

NLR oligomerization Pik-1/Pik-2 sensor‑helper pair resting state complex plasma membrane localization Oryza sativa

The mRNA covalent modification dihydrouridine regulates transcript turnover and photosynthetic capacity during plant abiotic stress

Authors: Yu, L., Melandri, G., Dittrich, A. C., Calleja, S., Rozzi, B., Ganguly, D. R., Palos, K., Srinivasan, A., Brewer, E. K., Fischer, H., Obata, T., Elgawad, H. A., Beemster, G. T. S., Henderson, R., Garcia, C. D., Zhang, X., Stern, D., Eveland, A., Schroeder, S. J., Skirycz, A., Lyons, E., Arnold, E. A., Gregory, B. D., Nelson, A. D. L., Pauli, D.

Date: 2025-11-24 · Version: 3
DOI: 10.1101/2025.01.17.633510

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

The study integrates multi-omics data from six Sorghum bicolor accessions under field drought to link RNA covalent modifications (RCMs) with photosynthetic performance, identifying the enzyme SbDUS2 that produces dihydrouridine (DHU) on transcripts. Loss‑of‑function dus2 mutants in Arabidopsis thaliana reveal that DHU deficiency leads to hyperstability of photosynthesis‑related mRNAs, impairing germination, development, and stress‑induced CO2 assimilation. The authors propose DHU as a post‑transcriptional mark that promotes rapid mRNA turnover during abiotic stress, enhancing plant resilience.

RNA covalent modifications dihydrouridine (DHU) drought stress photosynthesis RNA stability
Page 1 of 6 Next