Exploring how predictable evolutionary changes are in nature
Official title: Understanding predictability of evolutionary trajectories
Funded at University of California, San Diego · NIH-11081710 · Data updated 2026-11-12
This study is looking at how genes help living things adapt to their environments over time, and whether these changes can be predicted or just happen by chance, which could be useful for improving farming, healthcare, and protecting nature.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | August 1, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $382,696 |
| NIH project number | 5R35GM151058-03 |
| Project ID | NIH-11081710 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals interested in the genetic basis of evolution and its applications in various fields, particularly those affected by genetic disorders or agricultural challenges.
✕Less likely to help
Patients with conditions unrelated to genetic evolution or those not involved in agriculture or conservation may not benefit from this research.
What this research studies
This research investigates the genetic mechanisms that influence evolutionary changes, focusing on whether these changes can be predicted or are random. By studying populations adapting to similar environmental conditions, the research aims to identify the genetic factors that contribute to consistent evolutionary patterns. The approach combines advanced population genomics, genetic engineering, and experimental methods to explore how these factors affect evolutionary outcomes and their implications for agriculture, medicine, and conservation.
Why it matters
Potential benefit: If successful, this research could enhance our ability to predict evolutionary responses, leading to improved strategies in agriculture, medicine, and conservation efforts.
How similar studies have gone: Previous research has shown promising results in understanding genetic predictability in evolutionary biology, suggesting that this approach could yield valuable insights.
Where this research is happening
-
University of California, San Diego
La Jolla, United States Active
Researchers
- Principal investigator: Rennison, Diana Jessie — University of California, San Diego
- Study coordinator: Rennison, Diana Jessie
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.