lorikeet

Lorikeet analyzes whole-genome sequencing data to reconstruct the acquisition, timing, and spread of drug-resistance mutations in Mycobacterium tuberculosis, including multidrug-resistant (MDR) and extensively drug-resistant (XDR) strains.


Key Features:

  • Whole Genome Sequencing Analysis: Performs comparative genomics and phylogenetic analysis of clinical M. tuberculosis isolates using whole-genome sequencing data.
  • Drug Resistance Mutation Tracking: Determines the order and timing of acquisition of drug resistance mutations, including mutations conferring resistance to isoniazid, rifampicin, and streptomycin.
  • Evolutionary Dynamics Assessment: Assesses relatedness among strains and estimates the number of independent evolutionary events leading to MDR and XDR phenotypes.
  • Compensatory Mutation Identification: Identifies compensatory mutations that arise alongside primary resistance mutations to refine understanding of resistance evolution.
  • Historical Contextualization: Estimates the timing of mutation acquisitions (for example, dating isoniazid and streptomycin resistance to 1957) and contextualizes outbreaks such as the Tugela Ferry XDR-TB outbreak in KwaZulu-Natal, South Africa.

Scientific Applications:

  • Epidemiological Studies: Traces genetic evolution and transmission patterns of M. tuberculosis to inform analyses of outbreak dynamics and lineage spread.
  • Public Health Interventions: Provides temporal and genetic evidence on the emergence of resistance to guide public health strategies and historical assessment of TB control vulnerabilities.
  • Research on Drug Resistance Mechanisms: Supports investigation of the sequence of mutation acquisitions and compensatory mechanisms underlying persistence and fitness of drug-resistant M. tuberculosis.

Methodology:

Applies whole-genome sequencing, comparative genomics, and phylogenetic dating to clinical and historical M. tuberculosis isolates to construct timelines of mutation events.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Tool Type:
web application
Programming Languages:
Java
Added:
3/12/2024
Last Updated:
11/7/2024

Operations

Data Inputs & Outputs

Publications

Cohen KA, Abeel T, Manson McGuire A, Desjardins CA, Munsamy V, Shea TP, Walker BJ, Bantubani N, Almeida DV, Alvarado L, Chapman SB, Mvelase NR, Duffy EY, Fitzgerald MG, Govender P, Gujja S, Hamilton S, Howarth C, Larimer JD, Maharaj K, Pearson MD, Priest ME, Zeng Q, Padayatchi N, Grosset J, Young SK, Wortman J, Mlisana KP, O'Donnell MR, Birren BW, Bishai WR, Pym AS, Earl AM. Evolution of Extensively Drug-Resistant Tuberculosis over Four Decades: Whole Genome Sequencing and Dating Analysis of Mycobacterium tuberculosis Isolates from KwaZulu-Natal. PLOS Medicine. 2015;12(9):e1001880. doi:10.1371/journal.pmed.1001880. PMID:26418737. PMCID:PMC4587932.

Documentation

Links