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AI-summarized plant biology research papers from bioRxiv

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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 comparative transcriptomics using cultivated and wild rice reveals key regulators of developmental and photosynthetic progression along the rice leaf developmental gradient

Authors: Jathar, V., Vivek, A., Panda, M. K., Daware, A. V., Dwivedi, A., Rani, R., Kumar, S., Ranjan, A.

Date: 2025-08-09 · Version: 1
DOI: 10.1101/2025.08.07.669153

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study performed comparative gene expression profiling across four rice accessions—from shoot apical meristem to primordia stage P5—to delineate developmental and photosynthetic transitions in leaf development. By integrating differential expression and gene regulatory network analyses, the authors identified stage-specific regulatory events and key transcription factors, such as RDD1, ARID2, and ERF3, especially in the wild rice Oryza australiensis, offering a comprehensive framework for optimizing leaf function.

leaf development gene regulatory networks photosynthesis rice (Oryza) transcription factors