ProPan
ProPan profiles and analyzes prokaryotic pan-genome dynamics across 23 archaeal species and 1,481 bacterial species (51,882 strains) to support comparative genomics, taxonomy, pathogenicity, and environmental adaptation studies.
Key Features:
- Dataset scope: Contains pan-genome data spanning 23 archaeal species and 1,481 bacterial species representing 51,882 strains.
- Species composition and pan-genome evaluation: Evaluates species characteristics, composition, and evolutionary aspects within prokaryotic pan-genomes.
- Visualization and functional annotation: Maps associations, provides functional annotations, and displays presence/absence variation in gene clusters across species.
- Environmental adaptation insights: Predicts resistance genes to 126 substances, including biocides, antimicrobial drugs, and metals, and evaluates 31 metabolic cycle processes.
Scientific Applications:
- Pan-genome dynamics analysis: Comparative analysis of gene conservation, diversity, and pan-genome composition across prokaryotic species.
- Taxonomy and identification: Support for taxonomic profiling and species-level identification using pan-genome characteristics.
- Pathogenicity investigation: Assessment of gene presence/absence and functional annotations relevant to pathogenic traits.
- Environmental adaptation and resistance profiling: Identification of resistance determinants and metabolic traits associated with adaptation to environmental pressures.
- Metabolic pathway evaluation: Profiling of key metabolic cycle processes across species to study conservation and variation.
Methodology:
Prediction of resistance genes to 126 substances, evaluation of 31 metabolic cycle processes, mapping of gene-cluster presence/absence, and functional annotation and association mapping.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 11/3/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Zhang Y, Zhang H, Zhang Z, Qian Q, Zhang Z, Xiao J. ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics. Nucleic Acids Research. 2022;51(D1):D767-D776. doi:10.1093/nar/gkac832. PMID:36169225. PMCID:PMC9825599.
DOI: 10.1093/nar/gkac832
PMID: 36169225
PMCID: PMC9825599
Funding: - National Key Research Program of China: 2020YFA0907001
- Strategic Priority Research Program of the Chinese Academy of Sciences: XDB38030400
- National Natural Science Foundation of China: 32170669
- China Postdoctoral Science Foundation: 2021M693109
- Specialized Research Assistant Program of the Chinese Academy of Sciences: 202044