See how a genetic modification and herbicide context can be evaluated across connected plant pathways, from C1 metabolism to glutathione and oxidative stress.
The supplied GMO analysis compares redox balance in organic/glyphosate-sensitive soybean and glyphosate-resistant soybean. The reported GSH/GSSG ratios show a large difference between the compared plant types in both the in-vivo and in-silico results.
GSH/GSSG is presented as a redox-related readout. Higher values indicate a higher reduced-to-oxidized glutathione ratio within the reported comparison.
| Analysis | Organic GSH/GSSG | RRS GSH/GSSG | Organic/RRS × 100 Reported in study |
|---|---|---|---|
| In vivo | 9.9 | 3.7 | 268% |
| In silico | 9.7 | 3.9 | 249% |
The research program presented on the Integrative Systems publications page links genetic perturbation to C1 metabolism, formaldehyde handling, glutathione biosynthesis, redox balance and oxidative stress. The page below presents that logic as a pathway of questions for exploration.
The compared plant types show materially different GSH/GSSG values in both reported modes of analysis. That pattern supports testing genetic background as a biological variable in GMO assessment.
The table alone does not identify which molecular step caused the difference, establish harm in humans, or generalize to every GMO.
Extends the C1 model with glutathione biosynthesis and glyphosate catabolism, then compares predicted GSH/GSSG results with reported greenhouse data.
Read the paper summary →Models C1 metabolism and oxidative stress in glyphosate-resistant soybean and reports predicted formaldehyde accumulation with faster glutathione depletion under oxidative stress.
Read the paper summary →Connects oxidative stress with C1 metabolism to examine how disturbances propagate to formaldehyde, glutathione and redox homeostasis.
Read the paper summary →Develops a dynamic model of interconnected C1 pathways, including the folate and methionine cycles and glutathione biosynthesis.
Read the paper summary →Maps key plant C1-metabolism and formaldehyde-detoxification pathways that provide the biological foundation for the later computational models.
Read the paper summary →Use the table as a starting point for a transparent comparison. A complete assessment should state the genetic construct, plant variety, herbicide treatment, sampling time, dose or field exposure, assay method, replicates, uncertainty and whether the endpoint changed because of genotype, treatment or their interaction.
The publication summaries describe model predictions and reported concordance with experimental data. They remain clearly labeled as research findings and model outputs.
Inspect compounds, pathways, biological processes and biomarkers in GODS™.
