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AI-summarized plant biology research papers from bioRxiv

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Latest 4 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

Improving rice drought tolerance through host-mediated microbiome selection

Authors: Styer, A., Pettinga, D., Caddell, D. F., Coleman-Derr, D.

Date: 2025-09-18 · Version: 2
DOI: 10.1101/2024.02.03.578672

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study used host-mediated artificial selection to iteratively enrich rice-associated microbiomes that improve growth and drought tolerance, starting from diverse soil microbial communities. Over multiple generations, selected microbiomes converged, and amplicon sequencing along with metagenome-assembled genomes identified specific bacterial taxa and functional pathways (e.g., glycerol-3-phosphate and iron transport) linked to enhanced drought performance. The results demonstrate the effectiveness of plant phenotype-driven microbiome engineering for crop improvement.

host-mediated selection drought tolerance microbiome engineering amplicon sequencing metagenome-assembled genomes

Integrative transcriptomic and phosphoproteomic analysis reveals key components of SnRK1 signaling network in rice

Authors: Faria-Bates, M. C., Maurya, C., Jamsheer K, M., Srivastava, V.

Date: 2025-07-23 · Version: 1
DOI: 10.1101/2025.07.22.666209

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study used CRISPR/Cas9 to generate rice snrk1 mutants and performed integrated phenotypic, transcriptomic, proteomic, and phosphoproteomic analyses under normal and starvation conditions, revealing SnRK1’s dual role in promoting growth and mediating stress responses. Findings indicate sub-functionalization of SnRK1 subunits and identify novel phosphorylation targets linked to membrane trafficking, ethylene signaling, and ion transport.

SnRK1 rice CRISPR/Cas9 phosphoproteomics stress response

Fine-tuning quantitative agronomic traits by manipulating gene copy number in rice

Authors: Nomura, C., Kanzaki, H., Kanzaki, E., Shimizu, M., Oikawa, K., Utsushi, H., Ito, K., Sugimura, Y., Terauchi, R., Abe, A.

Date: 2025-05-16 · Version: 1
DOI: 10.1101/2025.05.16.654416

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study used CRISPR/Cas9 to create rice lines with one to three tandem copies of the OsMADS18 gene and confirmed copy-number through high‑throughput qPCR. Incremental increases in OsMADS18 copy number produced proportional rises in transcript levels and corresponding enhancements in leaf blade and culm length, showing that gene dosage can be leveraged to fine‑tune agronomic traits.

copy number variation OsMADS18 CRISPR/Cas9 rice (Oryza sativa) agronomic trait improvement