Researchers from the Indian Institute of Technology Madras (IIT Madras) and the Technical University of Denmark have demonstrated how interactions between genetic variants can activate hidden cellular pathways. Their study shows that gene-to-gene interactions can reshape metabolism over time, especially in complex diseases such as cancer, diabetes, and neurodegenerative disorders.
The research, published on 27 August 2025 in Nature Communications, provides fresh insights into how multiple genes interact to shape health and disease in higher organisms, including humans.
A Discovery with Far-Reaching Implications
As reported by etvbharat, the team revealed that specific genetic variants in yeast can work together to activate a previously dormant metabolic route. This breakthrough offers a framework for decoding how genetic interactions, rather than single mutations, influence disease progression.
Professor Himanshu Sinha from the Department of Biotechnology, IIT Madras, who co-led the study with PhD student Srijith Sasikumar, explained:
“Many complex diseases arise from the interplay of multiple genes. Our study provides a systematic framework to understand these interactions. By combining multi-omics with temporal analysis, we observed not only which pathways were affected, but also when and how these changes occurred—critical insights for progressive diseases like cancer or neurodegeneration.”
Genes as Switches: New Outcomes Through Interactions
Co-author Srijith Sasikumar compared the process to flipping switches:
“When two genetic switches flip together, a hidden backup circuit turns on, and the system behaves differently. This shows that genes rarely act alone—their interactions can create new outcomes that are invisible when studied individually. Observing these effects over time was essential, since many changes only appear at specific stages.”
Practical Applications
The findings open up several real-world applications:
- Personalised Medicine: Development of biomarkers and drug targets that account for combined genetic effects, enabling precise diagnosis, prognosis, and tailored treatments.
- Synthetic Biology and Biotechnology: Engineering gene interactions to activate or suppress pathways for producing metabolites, biofuels, or pharmaceuticals.
- Precision Agriculture and Microbial Engineering: Designing stress-tolerant crops or industrial microbes with optimised metabolic traits.
Key Findings from the Study
The research uncovered several groundbreaking insights:
- Two genetic variants in yeast—MKT1(89G) and TAO3(4477C)—activated a hidden arginine biosynthesis pathway only when present together.
- This interaction established a new biological principle: variant combinations can create novel molecular outcomes not seen when acting alone.
- Using a temporal multi-omics approach (transcriptomics, proteomics, metabolomics), the team captured how these variants reprogrammed cellular activity.
- The double-variant combination uniquely activated arginine biosynthesis while suppressing ribosome production, creating a metabolic trade-off that boosted yeast sporulation efficiency.
- The arginine pathway proved essential for mitochondrial activity only in the double-variant background, showing how genetic interactions can generate new cellular dependencies.
Towards a Future of Personalised Medicine
By uncovering how combinations of genetic changes reprogram metabolic networks, the study paves the way for precision medicine. Such insights will help develop treatments tailored to individual genetic backgrounds, offering new hope for tackling cancer, diabetes, and neurodegenerative disorders.