AppIndels

AppIndels identifies taxon-specific conserved signature indels (CSIs) in genome sequences to demarcate taxa molecularly and predict taxonomic affiliation.


Key Features:

  • Taxon-Specific CSI Identification: AppIndels detects known conserved signature indels (CSIs) within input genome sequences.
  • Curated CSI Database: The database contains 585 validated CSIs used for identification and comparison.
  • Broad Taxonomic Coverage: Coverage includes approximately 45 genera within Bacillales and CSIs for members of Neisseriales, Legionellales, Chlorobiales, the family Borreliaceae, and certain species/genera of Pseudomonadaceae.
  • Empirical Demonstration: Application to 721 Bacillus strains identified significant numbers of CSIs specific to various Bacillales genera and families.
  • Validation via Phylogenomics: Predictions were corroborated by phylogenomic tree reconstructions showing congruent branching with predicted taxa.

Scientific Applications:

  • Taxonomic Affiliation Prediction: Detection of CSIs is used to predict the taxonomic affiliation of strains, including those of unknown taxonomy.
  • Phylogenomic Analysis Support: CSI presence/absence data can be used to support grouping of strains consistent with phylogenomic trees.
  • Diagnostic and Research Marker Identification: CSIs serve as molecular synapomorphies useful for genetic, biochemical, and diagnostic studies.

Methodology:

AppIndels scans genome sequences against a curated database of 585 validated CSIs, identifies the presence of these indels, and uses presence/absence data to predict taxonomic affiliation; predictions were corroborated by phylogenomic tree reconstructions in a study of 721 Bacillus strains.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
1/12/2024
Last Updated:
11/24/2024

Operations

Publications

Gupta RS, Kanter-Eivin DA. AppIndels.com server: a web-based tool for the identification of known taxon-specific conserved signature indels in genome sequences. Validation of its usefulness by predicting the taxonomic affiliation of >700 unclassified strains of Bacillus species. International Journal of Systematic and Evolutionary Microbiology. 2023;73(5). doi:10.1099/ijsem.0.005844. PMID:37159410.

PMID: 37159410
Funding: - Natural Sciences and Engieering Research Council of Canada: RGPIN-2019-06397