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AI-summarized plant biology research papers from bioRxiv

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Latest 5 Papers

A Critical Window of Maternal Temperature Effects on Weedy Rice Seed Dormancy

Authors: Auge, G., Nishikata, R., Imaizumi, T.

Date: 2025-12-15 · Version: 1
DOI: 10.64898/2025.12.12.693925

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study identified a critical two‑week window of elevated maternal temperature during weeks 4–5 after flowering that delays dormancy release in weedy rice seeds. Controlled‑environment and field transplant experiments showed that this late‑reproductive‑stage heat exposure postpones germination after after‑ripening, providing insight for predicting seed behavior and improving weed management strategies.

seed dormancy maternal temperature weedy rice heat stress reproductive stage sensitivity

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

ERF transcription factor regulons underpin growth-defence trade-off under acute heat stress in rice seedlings

Authors: Nair, A. U., Vishwakarma, S., Guha, T., Kadumuri, R. V., Fritschi, F. B., Chavali, S., Allu, A. D.

Date: 2025-04-22 · Version: 1
DOI: 10.1101/2025.04.21.649784

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study evaluated how acute heat stress affects early-stage rice seedlings, identifying a critical temperature threshold that impairs growth. Transcriptomic profiling of shoots and roots revealed ethylene‑responsive factors (ERFs) as central regulators, with ethylene and jasmonic acid acting upstream, and pre‑treatment with these hormones mitigated heat damage. These findings highlight ERF‑hormone interaction networks as targets for improving rice heat resilience.

heat stress Oryza sativa seedling transcriptomics ethylene responsive factors phytohormone treatment

Omics-driven Identification of Candidate Genes and SNP markers in a Major QTL Controlling Early Heading in Rice

Authors: Rao, D., T, N. S., CG, G., Gaur, N., Jamaloddin, M., Maganti, S. M., Raman, M. S., Patel, H. K., Tiwari, S., Sonti, R. V.

Date: 2025-03-27 · Version: 1
DOI: 10.1101/2025.03.25.645207

Category: Plant Biology

Model Organism: Oryza sativa

AI Summary

The study identified a major QTL (qDTH3) on chromosome 3 responsible for a 7‑10‑day earlier heading phenotype in the rice line SM93, using QTL‑seq, KASP genotyping, association mapping, and transcriptomic analysis to fine‑map the locus to a 2.53 Mb region and pinpoint candidate genes. SNP markers linked to these genes were proposed as tools for breeding early‑maturing, climate‑resilient rice varieties.

heading date rice (Oryza sativa) QTL-seq SNP markers transcriptomics