Predicting Parallelism and Quantifying Divergence in Microbial Evolution Experiments
Abstract
There is currently no framework for identifying genes that contribute to molecular divergence between microbial populations in different environments. To address this absence, we developed a null modeling approach to describe the distribution of mutation counts among genes.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 23, 2022
- Source ID
- 10.1128/msphere.00672-21
Entities
People
- Jay T. Lennon
- William R Shoemaker
Organizations
- Army Research Office
- Indiana University
- National Aeronautics and Space Administration
- National Science Foundation
- Society for the Study of Evolution