Genetius

AI-summarized plant biology research papers from bioRxiv

View Trends

Latest 109 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

Multi-Level Characterization Reveals Divergent Heat Response Strategies Across Wheat Genotypes of Different Ploidy

Authors: Arenas-M, A., Mino, I., Uauy, C., Calderini, D. F., Canales, J.

Date: 2026-01-23 · Version: 1
DOI: 10.64898/2026.01.22.701169

Category: Plant Biology

Model Organism: Multi-species

AI Summary

Field experiments combined with RNA sequencing revealed that wheat ploidy influences heat stress resilience, with tetraploid T. turgidum showing the smallest yield loss and hexaploid T. aestivum mounting the largest transcriptional response. Ploidy-dependent differences were observed in differential gene expression, alternative splicing—including hexaploid-specific exon skipping of NF‑YB—and co‑expression networks linked to grain traits, highlighting candidate pathways for breeding heat‑tolerant wheat.

heat stress wheat ploidy RNA sequencing differential gene expression alternative splicing

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

Ultra large-scale 2D clinostats uncover environmentally derived variation in tomato responses to simulated microgravity

Authors: Hostetler, A. N., Kennebeck, E., Reneau, J. W., Birtell, E., Caldwell, D. L., Iyer-Pascuzzi, A. S., Sparks, E. E.

Date: 2026-01-13 · Version: 2
DOI: 10.1101/2025.05.16.654566

Category: Plant Biology

Model Organism: Solanum lycopersicum (tomato)

AI Summary

The study employed ultra large‑scale 2D clinostats to grow tomato (Solanum lycopersicum) plants beyond the seedling stage under simulated microgravity and upright control conditions across five sequential trials. Simulated microgravity consistently affected plant growth, but the magnitude and direction of the response varied among trials, with temperature identified as a significant co‑variant; moderate heat stress surprisingly enhanced growth under simulated microgravity. These results highlight the utility of large‑scale clinostats for dissecting interactions between environmental factors and simulated microgravity in plant development.

simulated microgravity ultra large-scale clinostat tomato (Solanum lycopersicum) heat stress plant growth interaction

The STA1-DOT2 interaction promotes nuclear speckle formation and splicing robustness in growth and heat stress responses

Authors: Kim, H., Yu, K.-j., Park, S. Y., Seo, D. H., Jeong, D.-H., Kim, W. T., Yun, D.-J., Lee, B.-h.

Date: 2026-01-12 · Version: 1
DOI: 10.64898/2026.01.11.698856

Category: Plant Biology

Model Organism: Arabidopsis thaliana

AI Summary

The study demonstrates that the interaction between spliceosomal proteins STA1 and DOT2 controls nuclear speckle organization, pre‑mRNA splicing efficiency, and heat‑stress tolerance in Arabidopsis thaliana. A missense mutation in DOT2 restores the weakened STA1‑DOT2 interaction in the sta1‑1 mutant, linking interaction strength to speckle formation and transcriptome‑wide intron retention under heat stress, while pharmacological inhibition of STA1‑associated speckles reproduces the mutant phenotypes. These findings reveal a heat‑sensitive interaction node that couples spliceosome assembly to nuclear speckle dynamics and splicing robustness.

spliceosome nuclear speckles STA1‑DOT2 interaction heat stress Arabidopsis thaliana

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

Features affecting Cas9-Induced Editing Efficiency and Patterns in Tomato: Evidence from a Large CRISPR Dataset

Authors: Cucuy, A., Ben-Tov, D., Melamed-Bessudo, C., Honig, A., Cohen, B. A., Levy, A. A.

Date: 2026-01-07 · Version: 1
DOI: 10.64898/2026.01.06.696182

Category: Plant Biology

Model Organism: Solanum lycopersicum

AI Summary

The study generated a dataset of 420 sgRNAs targeting promoters, exons, and introns of 137 tomato genes in protoplasts, linking editing efficiency to chromatin accessibility, genomic context, and sequence features. Open chromatin sites showed higher editing rates, while transcriptional activity had little effect, and a subset of guides produced near‑complete editing with microhomology‑mediated deletions. Human‑trained prediction models performed poorly, highlighting the need for plant‑specific guide design tools.

CRISPR/Cas9 ATAC-seq chromatin accessibility microhomology‑mediated end joining tomato

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

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
Page 1 of 11 Next