- Epidemiological Models: Focus on ecological and evolutionary impacts of microbial genetic elements.
- Diversity Metrics: Aims to improve analysis of CRISPR spacers in empirical data.
- Accessible Tool: Seeks to create user-friendly resources for diverse bacterial populations.
Description
Predictive models for the epidemiology of infection by genetic elements of microbes are necessary to address both their ecological and evolutionary impacts. Metrics have been developed that describe the diversity of the CRISPR spacers and their outcome in simple microbial communities; however, their comparative application to empirical data sets is limited. Rachel Whitaker, Irene Newton and colleagues will develop an accessible genomics tool for analysis of CRISPR population diversity in populations of bacterial genomes.
People on this Project
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Rachel Whitaker
Project LeadCo-PI; Professor of Microbiology
University of Illinois Urbana-Champaign
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Alan Collins
Project LeadFormer Postdoctoral Researcher
University of Illinois Urbana-Champaign
Publications
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Collins & Whitaker, 2023
Collins, A. J., & Whitaker, R. J. (2023). CRISPR Comparison Toolkit: Rapid identification, visualization, and analysis of CRISPR array diversity. The CRISPR Journal, 6(4), 386–400.
https://doi.org/10.1089/crispr.2022.0080