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AI-summarized plant biology research papers from bioRxiv

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Evaluating effects of elevated and accelerated NPQ relaxation on yield, physiology and transcription in soybean

Authors: Singh, D., de Souza, A. P., Doran, L., Hansen, J., Burgess, S. J.

Date: 2025-11-20 · Version: 1
DOI: 10.1101/2025.11.19.689310

Category: Plant Biology

Model Organism: Glycine max

AI Summary

The study evaluated a transgenic soybean line (VPZ-34A) expressing Arabidopsis VDE, PsbS, and ZEP for combined improvements in light‑use efficiency and carbon assimilation under ambient and elevated CO2 in a FACE experiment. While VPZ‑34A showed enhanced maximum quantum efficiency of PSII under fluctuating light, it did not increase carbon assimilation efficiency or yield, and transcriptome analysis revealed limited gene expression changes. The results suggest that VPZ‑mediated photosynthetic gains are insufficient to boost productivity under elevated CO2.

photosynthetic efficiency elevated CO2 transgenic soybean VPZ construct transcriptomics

Integrative genomic and transcriptomic analyses uncover regulatory landscape of symbiotic nitrogen fixation in soybean natural population

Authors: Li, Y., Feng, w., Feng, X., Liu, X., Hao, S., Lian, L., Gao, L., Shao, Y., Chen, H., Chen, Z., Yuan, J., Qin, L., Li, X., Li, X., Wang, X.

Date: 2025-07-23 · Version: 1
DOI: 10.1101/2025.07.18.665310

Category: Plant Biology

Model Organism: Glycine max

AI Summary

The study integrates genome, transcriptome, and chromatin accessibility data from 380 soybean accessions to dissect the genetic and regulatory basis of symbiotic nitrogen fixation (SNF). Using GWAS, TWAS, eQTL mapping, and ATAC-seq, the authors identify key loci, co‑expression modules, and regulatory elements, and validate the circadian clock gene GmLHY1b as a negative regulator of nodulation via CRISPR and CUT&Tag. These resources illuminate SNF networks and provide a foundation for soybean improvement.

symbiotic nitrogen fixation GWAS TWAS eQTL mapping ATAC-seq

Integrative Multi-Omics Analysis Reveals Stress-Specific Molecular Architectures in Soybean under Drought and Rust Infection

Authors: Husein, G., Castro-Moretti, F. R., Prado, M., Amorim, L., Mazzafera, P., Canales, J., Monteiro-Vitorello, C. B.

Date: 2025-07-08 · Version: 1
DOI: 10.1101/2025.07.07.663534

Category: Plant Biology

Model Organism: Glycine max

AI Summary

The study examined soybean (Glycine max) responses to simultaneous drought and Asian soybean rust infection using combined transcriptomic and metabolomic analyses. Weighted Gene Co-expression Network Analysis identified stress-specific gene modules linked to metabolites, while Copula Graphical Models uncovered sparse, condition‑specific networks, revealing distinct molecular signatures for each stress without overlapping genes or metabolites. The integrative approach underscores a hierarchical, modular defense architecture and suggests targets for breeding multi‑stress resilient soybeans.

Asian soybean rust drought stress transcriptomics metabolomics co-expression network

Spatial and single-cell transcriptomics capture two distinct cell states in plant immunity

Authors: Hu, Y., Schaefer, R., Rendleman, M., Slattery, A., Cramer, A., Nahiyan, A., Breitweiser, L., Shah, M., Kaehler, E., Yao, C., Bowling, A., Crow, J., May, G., Tabor, G., Thatcher, S., Uppalapati, S. R., Muppirala, U., Deschamps, S.

Date: 2025-06-06 · Version: 1
DOI: 10.1101/2025.06.03.657683

Category: Plant Biology

Model Organism: Glycine max

AI Summary

The study combined spatial transcriptomics and single-nuclei RNA sequencing to map soybean (Glycine max) responses to Asian soybean rust caused by Phakopsora pachyrhizi, revealing two distinct host cell states: pathogen‑occupied regions and adjacent non‑infected regions that show heightened defense gene expression. Gene co‑expression network analysis identified a key immune‑related module active in the stressed cells, highlighting a cell‑non‑autonomous defense mechanism.

spatial transcriptomics single-nuclei RNA-seq plant immunity Phakopsora pachyrhizi cell non‑autonomous defense

NCR13 peptide protects soybean against Cercospora sojina by multiple modes of action and additive interaction with chemical fungicides

Authors: Pokhrel, A., Nath, V. S., Godwin, J., Kalunke, R., TETORYA, M., Czymmek, K. J., Shah, D. M.

Date: 2025-04-30 · Version: 1
DOI: 10.1101/2025.04.29.651315

Category: Plant Biology

Model Organism: Glycine max

AI Summary

The chickpea-derived cysteine‑rich peptide NCR13_PFV1 exhibited nanomolar antifungal activity against both QoI‑sensitive and -resistant isolates of the soybean pathogen Cercospora sojina, protecting sprayed soybean leaves without phytotoxicity and showing additive effects with azoxystrobin. The peptide disrupts fungal plasma membranes, induces ROS, is rapidly internalized, binds fungal rRNA, and inhibits protein translation, with iron availability modulating its activity. These multifaceted mechanisms suggest NCR13_PFV1 as a promising bio‑fungicide for durable FLS management.

NCR13_PFV1 peptide Cercospora sojina soybean leaf spot QoI resistance reactive oxygen species