Linkage-based ortholog refinement in bacterial pangenomes with CLARC
Bacterial genomes exhibit significant variation in gene content and sequence identity. Pangenome analyses explore this diversity by classifying genes into core and accessory clusters of orthologous groups (COGs). However, strict sequence identity cutoffs can misclassify divergent alleles as different genes, inflating accessory gene counts. CLARC (Connected Linkage and Alignment Redefinition of COGs) (https://github.com/IndraGonz/CLARC) improves pangenome analyses by condensing accessory COGs using functional annotation and linkage information. Through this approach, orthologous groups are consolidated into more practical units of selection. Analyzing 8000+ Streptococcus pneumoniae genomes, CLARC reduced accessory gene estimates by >30% and improved evolutionary predictions based on accessory gene frequencies. CLARC is effective across different bacterial species, making it a broadly applicable tool for comparative genomics. By refining COG definitions, CLARC offers critical insights into bacterial evolution, aiding genetic studies across diverse populations.
Authors
- Taj Azarian (ORCID: https://orcid.org/0000-0002-8611-5241)
- Lindsay R. Grant (ORCID: https://orcid.org/0000-0002-4538-6424)
- Marc Lipsitch (ORCID: https://orcid.org/0000-0003-1504-9213)
- Samantha G. Palace (ORCID: https://orcid.org/0000-0002-7849-8078)
- Indra González Ojeda (ORCID: https://orcid.org/0000-0003-2040-956X)
- William P. Hanage (ORCID: https://orcid.org/0000-0002-6319-7336)
- Pamela P. Martinez (ORCID: https://orcid.org/0000-0002-3607-0938)
- Laura L. Hammitt
Institutions
- University of Central Florida (US)
- Center for Disease Dynamics, Economics & Policy (US)
- Harvard University (US)
- Johns Hopkins University (US)
- University of Illinois Urbana-Champaign (US)
- Harvard Bioscience (United States) (US)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1093/nar/gkaf488
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- National Institutes of Health