The Gage Lab is focussed on linking crop genomics and phenomics to understand how to develop more resilient and productive crop varieties.
Current projects:
How sequence variation controls gene regulation
- How do upstream open reading frames (uORFs) impact protein expression in maize?
- Are there translational regulation mechanisms, such as G-quadruplexes and microRNAs, that could potentially be disrupted by minor, single-variant changes in sequence
How gene regulation contributes to genotype-by-environment interactions
- How does transcript abundance vary in genetically diverse individuals across field environments that represent real-world growing conditions?
Utilizing novel methods for processing and interpreting high throughput phenotyping data
- Can we use drone flight images of fields to create models that can estimate plant height, leaf orientation, and flowering times?
- Are we able to use artificial intelligence with new and traditional data types to improve crop prediction models with machine learning and neural networks?
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