MLVAType

MLVAType extracts Multiple-Locus Variable Number of Tandem Repeats (VNTR) Analysis (MLVA) profiles for Vibrio cholerae directly from whole genome sequencing (WGS) data to enable backward-compatible MLVA typing.


Key Features:

  • Backward compatibility: Produces MLVA profiles from WGS that are comparable to profiles obtained by in silico PCR and Sanger sequencing.
  • Algorithm validation: Validated on 19 Vibrio cholerae isolates (Democratic Republic of the Congo n=9; Uganda n=10) by comparing WGS-derived MLVA profiles to in silico PCR and Sanger sequencing, showing total concordance with Sanger sequencing.
  • Censored estimation management: Identifies and quantifies censored VNTR copy-number estimations arising during genome assembly, with censored rates inversely proportional to the assembly k-mer size.
  • K-mer parameter optimization: Reports that a k-mer of 127 yields less than 15% censored estimations for V. cholerae VNTRs and recommends longer k-mers (e.g., 175) to prevent censored estimations while noting SPAdes v.3.13.0 does not support such larger k-mers.
  • Sequencing dependence: Notes that increases in read length and quality from next-generation sequencing will enable use of larger k-mers and reduce censored estimations.

Scientific Applications:

  • Surveillance of Vibrio cholerae outbreaks: Enables integration of WGS-derived MLVA profiles into laboratory-based surveillance networks monitoring foodborne and water-borne disease outbreaks.
  • Epidemiological investigations: Supports outbreak investigations by providing MLVA profiles that are compatible with historical typing data.
  • Data harmonization: Facilitates backward compatibility between traditional MLVA typing methods and WGS-based pathogen subtyping to integrate new genomic data with existing MLVA datasets.

Methodology:

MLVA profiles are extracted from assembled WGS data; genome assembly was performed with SPAdes v.3.13.0 using variable k-mer sizes, outputs were compared to in silico PCR and Sanger sequencing references, and censored VNTR estimations were quantified relative to k-mer size.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
R, Python
Added:
1/14/2020
Last Updated:
12/29/2020

Operations

Publications

Ambroise J, Irenge LM, Durant J, Bearzatto B, Bwire G, Stine OC, Gala J. Backward compatibility of whole genome sequencing data with MLVA typing using a new MLVAtype shiny application for Vibrio cholerae. PLOS ONE. 2019;14(12):e0225848. doi:10.1371/journal.pone.0225848. PMID:31825986. PMCID:PMC6905556.