FimTyper
FimTyper subtypes Escherichia coli by assigning fimH alleles to provide high-resolution subtyping for epidemiological and phylogenetic analyses.
Key Features:
- fimH allele FASTA database: A comprehensive FASTA reference containing all currently known fimH alleles underpinning subtype assignment.
- Input data support: Accepts Sanger sequences and draft whole-genome sequencing (WGS) assemblies as input for fimH allele assignment.
- High-resolution discrimination: Differentiates fine-resolution subgroups within multilocus sequence typing (MLST)-defined clonal groups using fimH variation.
- Phylogenetic concordance: Resolves subclones in phylogenetic network analyses, including identification of ST131-H30.
Scientific Applications:
- Sanger sequence validation: Predicted all fimH subtypes for a dataset of 42 E. coli isolates with Sanger sequences.
- Whole-genome sequencing analysis: Accurately analyzed draft genomes from 243 third-generation-cephalosporin-resistant E. coli isolates.
- Conventional subtyping comparison: Achieved complete agreement with conventional fimH subtyping for a subset of 40 isolates.
- Phylogenetic network analysis (ST131): Demonstrated perfect concordance in identifying subclones within a phylogenetic network of 122 ST131 isolates, including the pandemic multidrug-resistant subgroup ST131-H30.
Methodology:
Uses a comprehensive fimH allele FASTA database to assign fimH subtypes from Sanger and WGS sequence data via an in silico standardized subtyping approach.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Perl
- Added:
- 7/26/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Roer L, Tchesnokova V, Allesøe R, Muradova M, Chattopadhyay S, Ahrenfeldt J, Thomsen MCF, Lund O, Hansen F, Hammerum AM, Sokurenko E, Hasman H. Development of a Web Tool for Escherichia coli Subtyping Based on <i>fimH</i> Alleles. Journal of Clinical Microbiology. 2017;55(8):2538-2543. doi:10.1128/jcm.00737-17. PMID:28592545. PMCID:PMC5527432.