Evidence map›Paper›PMID 21110864›Full record

ArticleBMC genomics2010

The non-clonality of drug resistance in Beijing-genotype isolates of Mycobacterium tuberculosis from the Western Cape of South Africa.

Thomas R Ioerger, Yicheng Feng, Xiaohua Chen, Karen M Dobos, Thomas C Victor, Elizabeth M Streicher, Robin M Warren, Nicolaas C Gey van Pittius, Paul D Van Helden, James C Sacchettini

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Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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51citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Tuberculosis research and treatment · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Thomas R IoergerDepartment of Computer Science and Engineering, Texas A&M University, College Station, TX, USA. ioerger@cs.tamu.edu
Yicheng Feng
Xiaohua Chen
Karen M Dobos
Thomas C Victor
Elizabeth M Streicher
Robin M Warren
Nicolaas C Gey van Pittius
Paul D Van Helden
James C Sacchettini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Beijing genotype of M. tuberculosis is a virulent strain that is disseminating worldwide and has a strong association with drug resistance. In the Western Cape of South Africa, epidemiological studies have identified the R220 cluster of the Beijing genotype as a major contributor to a recent outbreak of drug-resistant tuberculosis. Although the outbreak is considered to be due to clonal transmission, the relationship among drug resistant isolates has not yet been established.

resultsTo better understand the evolution of drug resistance among these strains, 14 drug-resistant clinical isolates of the Beijing genotype were sequenced by whole-genome sequencing, including eight from R220 and six from a more ancestral Beijing cluster, R86, for comparison. While each cluster shares a distinct resistance mutation for isoniazid, mapping of other drug-resistance mutations onto a phylogenetic tree constructed from single nucleotide polymorphisms shows that resistance mutations to many drugs have arisen multiple times independently within each cluster of isolates. Thus, drug resistance among these isolates appears to be acquired, not clonally derived. This observation suggests that, although the Beijing genotype as a whole might have selective advantages enabling its rapid dissemination, the XDR isolates are relatively less fit and do not propagate well. Although it has been hypothesized that the increased frequency of drug resistance in some Beijing lineages might be caused by a mutator phenotype, no significant shift in synonymous substitution patterns is observed in the genomes.

conclusionWhile MDR-TB is spreading by transmission in the Western Cape, our data suggests that further drug resistance (i.e. XDR-TB) at this stage is acquired.

Indexed as

Amino Acid SubstitutionAntitubercular AgentsClone CellsCodonDrug Resistance, Multiple, BacterialGenome, BacterialGenotypeMutagenesis, InsertionalMutationMycobacterium tuberculosisPhylogenyPolymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideSequence Analysis, DNASouth AfricaTuberculosis, Multidrug-ResistantAntitubercular AgentsCodon

Identifiers

PMID21110864
PMCPMC3091785

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.