Evidence map›Paper›PMID 23995135›Full record

ArticleNature genetics2013

Genomic analysis identifies targets of convergent positive selection in drug-resistant Mycobacterium tuberculosis.

Maha R Farhat, B Jesse Shapiro, Karen J Kieser, Razvan Sultana, Karen R Jacobson, Thomas C Victor, Robin M Warren, Elizabeth M Streicher, Alistair Calver, Alex Sloutsky and 20 more

Abstract read
In one paragraph

Article in Nature genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. A Clinically Silent Resistance Phenotype That PromotesbioRxiv : the preprint server for biology · 2026
    Article
  13. Transmission of bedaquiline-resistant Mycobacterium tuberculosis in KwaZulu-Natal, South Africa.American journal of respiratory and critical care medicine · 2026
    Article
  14. Article
  15. A Comprehensive Review of Genetic Mechanisms ofInfection and drug resistance · 2026
    Review
  16. [Fe(phen)ACS omega · 2025
    Article
  17. Article
  18. Genomic landscape ofNew microbes and new infections · 2025
    Article
  19. Article
  20. Article

201 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Maha R Farhat1] Pulmonary and Critical Care Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. [2].
B Jesse Shapiro
Karen J Kieser
Razvan Sultana
Karen R Jacobson
Thomas C Victor
Robin M Warren
Elizabeth M Streicher
Alistair Calver
Alex Sloutsky
Devinder Kaur
Jamie E Posey
Bonnie Plikaytis
Marco R Oggioni
Jennifer L Gardy
James C Johnston
Mabel Rodrigues
Patrick K C Tang
Midori Kato-Maeda
Mark L Borowsky
Bhavana Muddukrishna
Barry N Kreiswirth
Natalia Kurepina
James Galagan
Sebastien Gagneux
Bruce Birren
Eric J Rubin
Eric S Lander
Pardis C Sabeti
Megan Murray

Funding

Geospatial clustering and molecular and social epidemiology of drug resistant TBK01TW009213 · FIC · MASSACHUSETTS GENERAL HOSPITAL · PI JACOBSON, KAREN R · 2011 to 2015
$715k
FIC NIH HHS K01 TW009213NIAID NIH HHS HHSN266200400001C
6 · The paper itself

Abstract

M. tuberculosis is evolving antibiotic resistance, threatening attempts at tuberculosis epidemic control. Mechanisms of resistance, including genetic changes favored by selection in resistant isolates, are incompletely understood. Using 116 newly sequenced and 7 previously sequenced M. tuberculosis whole genomes, we identified genome-wide signatures of positive selection specific to the 47 drug-resistant strains. By searching for convergent evolution--the independent fixation of mutations in the same nucleotide position or gene--we recovered 100% of a set of known resistance markers. We also found evidence of positive selection in an additional 39 genomic regions in resistant isolates. These regions encode components in cell wall biosynthesis, transcriptional regulation and DNA repair pathways. Mutations in these regions could directly confer resistance or compensate for fitness costs associated with resistance. Functional genetic analysis of mutations in one gene, ponA1, demonstrated an in vitro growth advantage in the presence of the drug rifampicin.

Indexed as

Selection, GeneticDNA RepairDrug Resistance, MicrobialMutationMycobacterium tuberculosis

Identifiers

PMID23995135
PMCPMC3887553

What OpenQuestion holds

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Registered trials

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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.