# Evolutionary Genomics of Yeast

> **NIH NIH R01** · STANFORD UNIVERSITY · 2021 · $324,862

## Abstract

Project summary
 A major goal of genetics and evolutionary biology is to understand how changes in genotype affect
phenotype. Genetic variants affecting fitness are especially informative for investigating evolution, since natural
selection acts exclusively on these variants. By identifying specific variants that influence fitness, we can begin
to understand the molecular mechanisms driving the incredible adaptations of all organisms to their
environments.
 We recently developed an approach that allows us to edit genomes with unprecedented efficiency
(~100%) and throughput, and precisely measure each edit’s effect on fitness. In our initial screen, we
measured the fitness effects of 16,000 natural genetic variants differing between two strains of Saccharomyces
cerevisiae. In this pilot experiment, we measured the effects of each variant in isolation, in a single condition.
We found that nearly all strong fitness effects were from promoter variants, rather than protein-coding regions,
and these were especially enriched at transcription factor binding sites.
 Here we propose to utilize this powerful system to investigate two concepts of fundamental importance:
the role of selection in shaping genetic variation in Aim 1, and gene-by-environment (GxE) interactions in Aim
2. This project will reveal key insights into the evolutionary process that would be unapproachable without our
high-throughput precision genome editing technology.

## Key facts

- **NIH application ID:** 10217152
- **Project number:** 5R01GM097171-10
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Hunter B Fraser
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $324,862
- **Award type:** 5
- **Project period:** 2012-02-05 → 2025-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10217152

## Citation

> US National Institutes of Health, RePORTER application 10217152, Evolutionary Genomics of Yeast (5R01GM097171-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10217152. Licensed CC0.

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