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AI-summarized plant biology research papers from bioRxiv

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Latest 3 Papers

Ca2+-driven nanodomain enrichment and plasma membrane proteome remodelling enable bacterial outer membrane vesicle perception in rice

Authors: Mondal, I., Das, H., Behera, S.

Date: 2025-12-02 · Version: 2
DOI: 10.1101/2025.09.17.676730

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study reveals that rice perceives Xanthomonas oryzae pv. oryzae outer membrane vesicles through a rapid calcium signal that triggers plasma‑membrane nanodomain formation and the re‑organisation of defence‑related proteins, establishing an early immune response. Without this Ca2+ signal, OMVs are not recognized and immunity is weakened.

Xanthomonas oryzae pv. oryzae outer membrane vesicles calcium signaling plasma membrane nanodomains proteomics

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

Ubiquitin-like SUMO protease expansion in rice (Oryza sativa)

Authors: Sue-ob, K., Zhang, C., Sharma, E., Bhosale, R., Sadanandom, A., Jones, A. R.

Date: 2025-08-25 · Version: 1
DOI: 10.1101/2025.08.20.671006

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study employed computational approaches to characterize the SUMOylation (ULP) machinery in Asian rice (Oryza sativa), analyzing phylogenetic relationships, transcriptional patterns, and protein structures across the reference genome, a population panel, and wild relatives. Findings reveal an expansion of ULP genes in cultivated rice, suggesting selection pressure during breeding and implicating specific ULPs in biotic and abiotic stress responses, providing resources for rice improvement.

SUMOylation ULP proteases Oryza sativa phylogenetic analysis stress response