Evidence map›Paper›PMID 31611361›Full record

ArticleAntimicrobial agents and chemotherapy2019

Capturing the Resistome: a Targeted Capture Method To Reveal Antibiotic Resistance Determinants in Metagenomes.

Allison K Guitor, Amogelang R Raphenya, Jennifer Klunk, Melanie Kuch, Brian Alcock, Michael G Surette, Andrew G McArthur, Hendrik N Poinar, Gerard D Wright

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
4.1field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 117 citations in OpenAlex.

  1. Trial
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  6. Article
  7. Mapping 25 years of research on gut microbiota and antibiotic resistance: bibliometric insights and future directions.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
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  15. Article
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  17. Article
  18. Characterizing the resistome ofFrontiers in microbiology · 2025
    Article
  19. Article
  20. Review
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

9 authors at 1 institution in 1 country.

Allison K GuitorDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Amogelang R RaphenyaDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Jennifer KlunkDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.
Melanie KuchDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.
Brian AlcockDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Michael G SuretteDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Andrew G McArthurDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-1142-3063
Hendrik N PoinarDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Gerard D WrightDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada wrightge@mcmaster.ca.
McMaster University · CA

Funding

CIHR MT-14981CIHR PJT-156214
6 · The paper itself

Abstract

Identification of the nucleotide sequences encoding antibiotic resistance elements and determination of their association with antibiotic resistance are critical to improve surveillance and monitor trends in antibiotic resistance. Current methods to study antibiotic resistance in various environments rely on extensive deep sequencing or laborious culturing of fastidious organisms, both of which are heavily time-consuming operations. An accurate and sensitive method to identify both rare and common resistance elements in complex metagenomic samples is needed. Referencing the sequences in the Comprehensive Antibiotic Resistance Database, we designed a set of 37,826 probes to specifically target over 2,000 nucleotide sequences associated with antibiotic resistance in clinically relevant bacteria. Testing of this probe set on DNA libraries generated from multidrug-resistant bacteria to selectively capture resistance genes reproducibly produced higher numbers of reads on target at a greater length of coverage than shotgun sequencing. We also identified additional resistance gene sequences from human gut microbiome samples that sequencing alone was not able to detect. Our method to capture the resistome enables a sensitive means of gene detection in diverse environments where genes encoding antibiotic resistance represent less than 0.1% of the metagenome.

Indexed as

MetagenomeBacteriaDatabases, GeneticDNA ProbesDrug Resistance, BacterialDrug Resistance, Multiple, BacterialFecesGastrointestinal MicrobiomeGenome, BacterialHumansMetagenomicsMicrobiotaWhole Genome SequencingDNA Probesantibiotic resistanceresistomesequencingtargeted capture

Identifiers

PMID31611361
PMCPMC7187591
OpenAlexW2980278798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.