Evidence map›Paper›PMID 26578204›Full record

ReviewMolecular ecology2016

The population genetics of drug resistance evolution in natural populations of viral, bacterial and eukaryotic pathogens.

Benjamin A Wilson, Nandita R Garud, Alison F Feder, Zoe J Assaf, Pleuni S Pennings

Open access · greenAbstract readReview
In one paragraph

Review in Molecular ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 57 citations in OpenAlex.

  1. Virulence Profiling of Multidrug-Resistant ClinicalMicrobial drug resistance (Larchmont, N.Y.) · 2026
    Article
  2. Review
  3. Review
  4. Whole-genome and pan-genome analyses reveal genomic differences among nontypeableFrontiers in cellular and infection microbiology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Efficacy and mechanism of carvacrol with octanoic acid against mastitis causing multi-drug-resistant pathogens.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Article
  15. Review
  16. Aptamer Applications in Emerging Viral Diseases.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Benjamin A WilsonDepartment of Biology, Stanford University, Stanford, CA, 94305, USA.
Nandita R GarudDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.
Alison F FederDepartment of Biology, Stanford University, Stanford, CA, 94305, USA.
Zoe J AssafDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.
Pleuni S PenningsDepartment of Biology, San Francisco State University, Room 520, Hensill Hall, 1600 Holloway Ave, San Francisco, CA, 94132, USA.
Stanford University · USSan Francisco State University · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
NHGRI NIH HHS T32 HG000044
6 · The paper itself

Abstract

Drug resistance is a costly consequence of pathogen evolution and a major concern in public health. In this review, we show how population genetics can be used to study the evolution of drug resistance and also how drug resistance evolution is informative as an evolutionary model system. We highlight five examples from diverse organisms with particular focus on: (i) identifying drug resistance loci in the malaria parasite Plasmodium falciparum using the genomic signatures of selective sweeps, (ii) determining the role of epistasis in drug resistance evolution in influenza, (iii) quantifying the role of standing genetic variation in the evolution of drug resistance in HIV, (iv) using drug resistance mutations to study clonal interference dynamics in tuberculosis and (v) analysing the population structure of the core and accessory genome of Staphylococcus aureus to understand the spread of methicillin resistance. Throughout this review, we discuss the uses of sequence data and population genetic theory in studying the evolution of drug resistance.

Indexed as

Evolution, MolecularGenetics, PopulationDrug ResistanceEpistasis, GeneticGene RearrangementGenetic VariationHIVMycobacterium tuberculosisOrthomyxoviridaePlasmodium falciparumRecombination, GeneticSelection, GeneticStaphylococcus aureusadaptationclonal interferenceepistasishorizontal gene transferselective sweepstanding genetic variation

Identifiers

PMID26578204
PMCPMC4943078
OpenAlexW2180967114

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.