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Updated: Jun 26, 2026

A Simple Method for Isolation of Soybean Protoplasts and Application to Transient Gene Expression Analyses
Published on: January 25, 2018
Infection and genotype remodel the entire soybean transcriptome
Lecong Zhou1, Santiago X Mideros, Lei Bao
1Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. lzhou@vbi.vt.edu
Soybean plants exhibit genome-wide transcriptional modulation in response to pathogen infection and genetic variation. Even small gene expression changes, below two-fold, are statistically significant and biologically relevant.
Area of Science:
- Plant Molecular Biology
- Genomics
- Systems Biology
Background:
- High-throughput methods like microarrays are crucial for genome-scale analysis.
- Understanding the full spectrum of transcriptional changes, especially low-magnitude ones, remains a challenge.
- Arbitrary cutoffs (e.g., two-fold) are often used to define biologically significant changes.
Purpose of the Study:
- To analyze soybean's transcriptional response to Phytophthora sojae infection.
- To investigate transcriptional modulation due to genotypic variation.
- To determine the significance of low-amplitude gene expression changes.
Main Methods:
- Utilized a large-scale microarray experiment with 72 biological replicates.
- Analyzed mRNA levels to assess gene expression.
- Employed two normalization methods and two statistical analysis procedures.
Main Results:
- Nearly the entire soybean genome (97-99%) shows transcriptional modulation upon infection and genetic variation.
- The majority of transcriptional differences observed are less than two-fold.
- Low-amplitude gene expression changes (<2-fold, even <20%) were statistically significant and consistent across replicates.
Conclusions:
- The entire plant genome is transcriptionally modulated by infection and genetic variation.
- Widespread low-magnitude transcriptome remodeling is likely integral to physiological adaptation in plants.
- Findings suggest a pervasive role of subtle gene expression shifts in eukaryotic adaptation.
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