Evidence map›Paper›PMID 27381390›Full record

ArticleAntimicrobial agents and chemotherapy2016

Whole-Genome Sequencing for Detecting Antimicrobial Resistance in Nontyphoidal Salmonella.

Patrick F McDermott, Gregory H Tyson, Claudine Kabera, Yuansha Chen, Cong Li, Jason P Folster, Sherry L Ayers, Claudia Lam, Heather P Tate, Shaohua Zhao

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 1 pooled it
16.2field-weighted citation impact, top 1% 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

193 citing papers in PubMed, 1 synthesis or guideline pooled it, 373 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Microorganisms · 2026
    Review
  5. Review
  6. Antimicrobial resistance in nontyphoidalFrontiers in public health · 2026
    Article
  7. Article
  8. Phenotypic and genome-based characterization ofFrontiers in microbiology · 2026
    Article
  9. Antimicrobial agents and chemotherapy · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Antibiotic-ResistantFood science of animal resources · 2025
    Review
  14. Article
  15. Characterizing the resistome ofFrontiers in microbiology · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

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 at 3 institutions in 1 country.

Patrick F McDermottDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA Patrick.McDermott@fda.hhs.gov.
Gregory H TysonDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
Claudine KaberaDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
Yuansha ChenDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
Cong LiDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
Jason P FolsterDivision of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Sherry L AyersDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
Claudia LamDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
Heather P TateDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
Shaohua ZhaoDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, Maryland, USA.
United States Food and Drug Administration · USCenter for Veterinary Medicine · USCenters for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laboratory-based in vitro antimicrobial susceptibility testing is the foundation for guiding anti-infective therapy and monitoring antimicrobial resistance trends. We used whole-genome sequencing (WGS) technology to identify known antimicrobial resistance determinants among strains of nontyphoidal Salmonella and correlated these with susceptibility phenotypes to evaluate the utility of WGS for antimicrobial resistance surveillance. Six hundred forty Salmonella of 43 different serotypes were selected from among retail meat and human clinical isolates that were tested for susceptibility to 14 antimicrobials using broth microdilution. The MIC for each drug was used to categorize isolates as susceptible or resistant based on Clinical and Laboratory Standards Institute clinical breakpoints or National Antimicrobial Resistance Monitoring System (NARMS) consensus interpretive criteria. Each isolate was subjected to whole-genome shotgun sequencing, and resistance genes were identified from assembled sequences. A total of 65 unique resistance genes, plus mutations in two structural resistance loci, were identified. There were more unique resistance genes (n = 59) in the 104 human isolates than in the 536 retail meat isolates (n = 36). Overall, resistance genotypes and phenotypes correlated in 99.0% of cases. Correlations approached 100% for most classes of antibiotics but were lower for aminoglycosides and beta-lactams. We report the first finding of extended-spectrum β-lactamases (ESBLs) (blaCTX-M1 and blaSHV2a) in retail meat isolates of Salmonella in the United States. Whole-genome sequencing is an effective tool for predicting antibiotic resistance in nontyphoidal Salmonella, although the use of more appropriate surveillance breakpoints and increased knowledge of new resistance alleles will further improve correlations.

Indexed as

Anti-Bacterial Agentsbeta-Lactamasesbeta-LactamsDrug Resistance, Multiple, BacterialGenotypeHumansMeatMicrobial Sensitivity TestsMutationPhenotypeSalmonellaUnited StatesAnti-Bacterial Agentsbeta-Lactamasesbeta-Lactams

Identifiers

PMID27381390
PMCPMC4997858
OpenAlexW2513408189

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.