Abstract
Prokaryote adaptive immunity (CRISPR-Cas systems) can be a threat to its carriers. We analyze the risks of autoimmune reactions related to adaptive immunity in prokaryotes by computational methods. We found important differences between bacteria and archaea with respect to autoimmunity potential. According to the results of our analysis, CRISPR-Cas systems in bacteria are more prone to self-Targeting even though they possess fewer spacers per organism on average than archaea. The results of our study provide opportunities to use self-Targeting in prokaryotes for biological and medical applications.
| Original language | English (US) |
|---|---|
| Article number | 2050033 |
| Journal | Journal of Bioinformatics and Computational Biology |
| Volume | 18 |
| Issue number | 5 |
| DOIs | |
| State | Published - Oct 1 2020 |
Bibliographical note
Funding Information:The work of the ¯rst author was supported by the University of Minnesota Interdisciplinary Doctoral Fellowship. The work of the second author was supported in part by NSF grants 1835530 & 1922512. The authors acknowledge the Minnesota Supercomputing Institute (MSI) at the University of Minnesota for providing resources that contributed to the research results reported within this paper. URL: http://www.msi.umn.edu.
Publisher Copyright:
© 2020 World Scientific Publishing Europe Ltd.
Keywords
- Genome dictionary
- computational methods
- spacer memory
PubMed: MeSH publication types
- Journal Article
- Research Support, U.S. Gov't, Non-P.H.S.
- Research Support, Non-U.S. Gov't