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AI-summarized plant biology research papers from bioRxiv

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Assessing Drought Resilience and Identification of High Yielding Upland Rice Varieties through Phenology, Growth and Yield Traits

Authors: Hussain, T., Anothai, J., Nualsri, C., Ali, A., Ali, M. F., Khomphet, T.

Date: 2025-12-23 · Version: 1
DOI: 10.64898/2025.12.20.695743

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

Sixteen upland rice varieties were evaluated under three irrigation regimes (100%, 70%, and 50% field capacity) with additional six‑day water withholding to simulate moderate and severe drought. Yield losses ranged from 35% to 78% depending on stress level, and varieties Dawk Kha, Khao/Sai, and Dawk Pa‑yawm showed the greatest stability, suggesting they are promising for breeding drought‑resilient upland rice.

upland rice drought stress field capacity irrigation yield loss varietal stability

Drought drives reversible disengagement of root-mycorrhizal symbiosis

Authors: Akmakjian, G. Z., Nozue, K., Nakayama, H., Borowsky, A. T., Morris, A. M., Baker, K., Canto-Pastor, A., Paszkowski, U., Sinha, N., Brady, S., Bailey-Serres, J.

Date: 2025-08-27 · Version: 1
DOI: 10.1101/2025.08.25.671999

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study shows that during drought, rice (Oryza sativa) downregulates nutrient acquisition and arbuscular mycorrhizal (AM) symbiosis genes, causing the fungal partner to enter metabolic quiescence and retract hyphae, but upon re-watering the symbiosis is rapidly reactivated. This reversible dynamic suggests that plant‑fungus mutualisms are fragile under fluctuating water availability.

drought stress arbuscular mycorrhizal symbiosis Oryza sativa nutrient acquisition regulation re-watering recovery

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