pdifFinder

pdifFinder identifies modules of antibiotic resistance genes (ARGs) flanked by inverted-repeat Xer-specific recombination sites (pdif sites) in bacterial plasmid sequences to characterize pdif-mediated horizontal gene transfer.


Key Features:

  • PdifSM algorithm: Implements the PdifSM algorithm to predict diverse pdif-ARG modules across plasmids and bacterial species.
  • Large-scale plasmid analysis: Analyzed nearly 32,000 plasmids from 717 bacterial species and identified 481 plasmids containing pdif sites associated with ARGs.
  • pdif sequence characterization: Identifies 28-bp pdif sequences with genus-specific base preferences across different genera.
  • Evolutionary and functional inference: Uses multiple sequence alignment and evolutionary analyses to reveal adaptation of the XerCD-dif site-specific recombination mechanism facilitating pdif-mediated ARG transfer.
  • Mutation and module composition analysis: Detects mutations in pdif sites and diverse module architectures containing variable numbers of ARGs, insertion sequences, and other functional genes.

Scientific Applications:

  • Study of horizontal gene transfer: Enables identification and characterization of pdif-mediated ARG modules to investigate mechanisms of horizontal gene transfer in bacteria.
  • Evolutionary analysis of recombination systems: Supports investigation of XerCD-dif recombination adaptation and its role in interspecies and intergenera ARG transfer.
  • Characterization of multidrug-resistance modules: Facilitates analysis of module composition (ARGs, insertion sequences, other genes) relevant to the spread and surveillance of multidrug-resistant bacteria and clinical mitigation strategies.

Methodology:

Developed the PdifSM prediction algorithm; analyzed a large plasmid dataset (nearly 32,000 plasmids from 717 bacterial species); and performed multiple sequence alignment, evolutionary analyses, and mutation analyses to detect and characterize pdif sites and pdif-ARG module architectures.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
2/15/2023
Last Updated:
2/15/2023

Operations

Publications

Shao M, Ying N, Liang Q, Ma N, Leptihn S, Yu Y, Chen H, Liu C, Hua X. P<i>dif</i>-mediated antibiotic resistance genes transfer in bacteria identified by pdifFinder. Briefings in Bioinformatics. 2022;24(1). doi:10.1093/bib/bbac521. PMID:36470841.

PMID: 36470841
Funding: - Science and Technology Commission of Shanghai Municipality: 19DZ2202600 - National Natural Science Foundation of China: 31970128 - National Key Research and Development Program of China: 2018YFE0102100

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