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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

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

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

Root phenolics as potential drivers of preformed defenses and reduced disease susceptibility in a paradigm bread wheat mixture

Authors: Mathieu, L., Chloup, A., Marty, S., Savajols, J., Paysant-Le Roux, C., Launay-Avon, A., Martin, M.-L., Totozafy, J.-C., Perreau, F., Rochepeau, A., Rouveyrol, C., Petriacq, P., Morel, J.-B., Meteignier, L.-V., Ballini, E.

Date: 2026-01-14 · Version: 1
DOI: 10.64898/2026.01.13.699261

Category: Plant Biology

Model Organism: Triticum aestivum

AI Summary

The study created a system that blocks root‑mediated signaling between wheat varieties in a varietal mixture and used transcriptomic and metabolomic profiling to reveal that root chemical interactions drive reduced susceptibility to Septoria tritici blotch, with phenolic compounds emerging as key mediators. Disruption of these root signals eliminates both the disease resistance phenotype and the associated molecular reprogramming.

root-mediated interactions bread wheat Septoria tritici blotch transcriptomics metabolomics

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

A novel pathosystem between Aeschynomene evenia and Aphanomyces euteiches reveals new immune components in quantitative legume root-rot resistance.

Authors: Baker, M., Martinez, Y., Keller, J., Sarrette, B., Pervent, M., Libourel, C., Le Ru, A., Bonhomme, M., Gough, C., Castel, B., ARRIGHI, J.-F., Jacquet, C.

Date: 2026-01-11 · Version: 1
DOI: 10.64898/2026.01.11.698850

Category: Plant Biology

Model Organism: Aeschynomene evenia

AI Summary

The study establishes Aeschynomene evenia as a new model for dissecting legume immunity against the soilborne pathogen Aphanomyces euteiches and its relationship with Nod factor-independent symbiosis. Quantitative resistance was assessed through inoculation assays, phenotypic and cytological analyses, and RNA‑seq identified thousands of differentially expressed genes, highlighting immune signaling and specialized metabolism, with mutant analysis confirming dual‑function kinases that modulate resistance. Comparative transcriptomics with Medicago truncatula revealed conserved and unique immune responses, positioning the A. evenia–A. euteiches system as a valuable platform for exploring quantitative resistance and symbiosis integration.

legume immunity Aphanomyces euteiches quantitative resistance transcriptomics Nod factor-independent symbiosis
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