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A Simple Method for Isolation of Soybean Protoplasts and Application to Transient Gene Expression Analyses

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Integrative Analysis of Abiotic Stress-Responsive Genes in Soybean Using Differential Gene Expression and Validation

Zohreh Hajibarat¹, Abbas Saidi¹

¹Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology Shahid Beheshti University Tehran Iran.

Plant-Environment Interactions (Hoboken, N.J.)

|June 25, 2026

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Researchers identified 37 key soybean genes involved in responding to abiotic stresses like drought and salinity. These findings offer crucial insights and candidate genes for enhancing crop resilience through data-driven breeding strategies.

Area of Science:

Plant Science
Genomics
Computational Biology

Background:

Climate change intensifies abiotic stresses (drought, salinity, heavy metals) impacting soybean production.
Understanding soybean's complex stress-response mechanisms is critical for agricultural sustainability.

Purpose of the Study:

To identify candidate genes associated with soybean's response to multiple abiotic stresses.
To leverage multi-omics data and computational approaches for robust gene prioritization.

Main Methods:

Integrated transcriptomic data from 112 soybean samples under various abiotic stresses.
Employed differential expression analysis, Differential Gene Correlation Analysis (DGCA), Random Forest, and XGBoost.
Utilized functional enrichment and network-based interpretation for gene prioritization.

Keywords:

DGCA XGBoost abiotic stresses common DEGs machine learning soybean

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Main Results:

Prioritized 37 candidate genes involved in amino acid and carbon metabolism, energy production, and ROS processes.
DGCA revealed condition-dependent gene coordination rather than direct regulation.
Identified GLYMA_16G207700, GLYMA_16G204600, and GLYMA_16G214500 as high-priority genes.

Conclusions:

The study provides a robust set of candidate genes for soybean abiotic stress tolerance.
Conserved stress-response elements may exist across related legume species.
Findings support future functional validation and breeding efforts to enhance soybean resilience.