Evidence map›Paper›PMID 18591265›Full record

ArticleAntimicrobial agents and chemotherapy2008

Convergent evolutionary analysis identifies significant mutations in drug resistance targets of Mycobacterium tuberculosis.

Manzour Hernando Hazbón, Alifiya S Motiwala, Magali Cavatore, Michael Brimacombe, Thomas S Whittam, David Alland

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Frontiers in microbiology · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Clinical and bacteriological characteristics associated with clustering of multidrug-resistant tuberculosis.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
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

6 authors at 3 institutions in 1 country.

Manzour Hernando HazbónDepartment of Medicine, Division of Infectious Disease, Ruy V Lourenço Center for the Study of Emerging and Re-emerging Pathogens, New Jersey Medical School, University of Medicine and Dentistry of New Jersey, Newark, New Jersey 07103, USA.
Alifiya S Motiwala
Magali Cavatore
Michael Brimacombe
Thomas S Whittam
David Alland
Rutgers New Jersey Medical SchoolMichigan State University · USRutgers, The State University of New Jersey · US

Funding

POPULATION BASED INVESTIGATIONS OF TUBERCULOSISR01AI046669 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2000 to 2004
$2.5M
TUBERCULOSIS GENOTYPING AND EVOLUTIONARY CONSORTIUMR01AI049352 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2002 to 2005
$2.0M
NIAID NIH HHS N01 AI030058NIAID NIH HHS N01-AI-30058NIAID NIH HHS R01 AI046669NIAID NIH HHS R01 AI049352NIAID NIH HHS R01AI46669NIAID NIH HHS R01AI49352
6 · The paper itself

Abstract

Mycobacterium tuberculosis adapts to the environment by selecting for advantageous single-nucleotide polymorphisms (SNPs). We studied whether advantageous SNPs could be distinguished from neutral mutations within genes associated with drug resistance. A total of 1,003 clinical isolates of M. tuberculosis were related phylogenetically and tested for the distribution of SNPs in putative drug resistance genes. Drug resistance-associated versus non-drug-resistance-associated SNPs in putative drug resistance genes were compared for associations with single versus multiple-branch outcomes using the chi-square and Fisher exact tests. All 286 (100%) isolates containing isoniazid (INH) resistance-associated SNPs had multibranch distributions, suggestive of multiple ancestry and convergent evolution. In contrast, all 327 (100%) isolates containing non-drug-resistance-associated SNPs were monophyletic and thus showed no evidence of convergent evolution (P < 0.001). Convergence testing was then applied to SNPs at position 481 of the iniA (Rv0342) gene and position 306 of the embB gene, both potential drug resistance targets for INH and/or ethambutol. Mutant embB306 alleles showed multibranch distributions, suggestive of convergent evolution; however, all 44 iniA(H481Q) mutations were monophyletic. In conclusion, this study validates convergence analysis as a tool for identifying mutations that cause INH resistance and explores mutations in other genes. Our results suggest that embB306 mutations are likely to confer drug resistance, while iniA(H481Q) mutations are not. This approach may be applied on a genome-wide scale to identify SNPs that impact antibiotic resistance and other types of biological fitness.

Indexed as

Evolution, MolecularMutationPolymorphism, Single NucleotideAntitubercular AgentsBacterial ProteinsDrug Resistance, BacterialEthambutolHumansIsoniazidMicrobial Sensitivity TestsMycobacterium tuberculosisPhylogenyAntitubercular AgentsBacterial ProteinsEthambutolIsoniazid

Identifiers

PMID18591265
PMCPMC2533473
OpenAlexW2122511538

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.