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AI-summarized plant biology research papers from bioRxiv

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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

Transcriptional responses of Solanum lycopersicum to three distinct parasites reveal host hubs and networks underlying parasitic successes

Authors: Truch, J., Jaouannet, M., Da Rocha, M., Kulhanek-Fontanille, E., Van Ghelder, C., Rancurel, C., Migliore, O., Pere, A., Jaubert, S., Coustau, C., Galiana, E., Favery, B.

Date: 2026-01-23 · Version: 1
DOI: 10.64898/2026.01.22.701158

Category: Plant Biology

Model Organism: Solanum lycopersicum

AI Summary

The study used transcriptomic profiling to compare tomato (Solanum lycopersicum) responses to three evolutionarily distant pathogens—nematodes, aphids, and oomycetes—during compatible interactions, identifying differentially expressed genes and key host hubs. Integrating public datasets and performing co‑expression and GO enrichment analyses, the authors mapped shared dysregulation clusters and employed Arabidopsis interactome data to place tomato candidates within broader networks, highlighting potential targets for multi‑pathogen resistance.

tomato pathogen compatibility transcriptomics co‑expression network Arabidopsis interactome

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

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

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

Root-Suppressed Phenotype of Tomato Rs Mutant is Seemingly Related to Expression of Root-Meristem-Specific Sulfotransferases

Authors: Kumari, A., Gupta, P., Santisree, P., Pamei, I., Valluri,, S., Sharma, K., Venkateswara Rao, K., Shukla, S., Nama, S., Sreelakshmi, Y., Sharma, R.

Date: 2026-01-03 · Version: 1
DOI: 10.64898/2026.01.03.697460

Category: Plant Biology

Model Organism: Solanum lycopersicum

AI Summary

The study characterizes a radiation‑induced root‑suppressed (Rs) mutant in tomato that displays dwarfism and pleiotropic defects in leaves, flowers, and fruits. Metabolite profiling and rescue with H2S donors implicate disrupted sulfur metabolism, and whole‑genome sequencing identifies promoter mutations in two root‑meristem‑specific sulfotransferase genes as likely contributors to the root phenotype.

root development sulfur metabolism sulfotransferase radiation‑induced mutant tomato
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