Evidence map›Paper›PMID 26781915›Full record

ArticleFEMS microbiology letters2016

Using whole-genome sequencing to determine appropriate streptomycin epidemiological cutoffs for Salmonella and Escherichia coli.

Gregory H Tyson, Cong Li, Sherry Ayers, Patrick F McDermott, Shaohua Zhao

Abstract read
In one paragraph

Article in FEMS microbiology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Comparison of genotypic and phenotypic antimicrobial resistance profiles ofJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Article
  4. Article
  5. Article
  6. High-Resolution Genomic Comparisons withinApplied and environmental microbiology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Population Dynamics ofApplied and environmental microbiology · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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.

Gregory H TysonDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, US Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD 20708, USA gregory.tyson@fda.hhs.gov.
Cong LiDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, US Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD 20708, USA.
Sherry AyersDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, US Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD 20708, USA.
Patrick F McDermottDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, US Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD 20708, USA.
Shaohua ZhaoDivision of Animal and Food Microbiology, Office of Research, Center for Veterinary Medicine, US Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD 20708, USA.

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

For Enterobacteriaceae such as Salmonella spp. and Escherichia coli, no unified interpretive resistance criteria exist for streptomycin, an epidemiologically important antibiotic. As part of the National Antimicrobial Resistance Monitoring System, we had previously used a minimum inhibitory concentration of ≥ 64 μg mL(-1) as an epidemiological cutoff value (ECV) to define non-wild-type isolates. To identify whether this ECV correlated with genetic determinants of resistance, we performed whole-genome sequencing of 463 Salmonella and E. coli isolates to identify streptomycin resistance genotypes. From this analysis, we found that using a streptomycin resistance breakpoint of ≥ 64 μg mL(-1) classified over 20% of strains possessing aadA or strA/strB resistance genes as wild-type. Therefore, to improve the concordance between genotypic and phenotypic data, we propose reducing the phenotypic cutoff values to ≥ 32 μg mL(-1) for both Salmonella and E. coli, to be used widely as ECVs to categorize non-wild-type isolates.

Indexed as

AnimalsAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsGenome, BacterialGenotypeHigh-Throughput Nucleotide SequencingMicrobial Sensitivity TestsPhenotypePolymerase Chain ReactionSalmonellaSalmonella Infections, AnimalStreptomycinAnti-Bacterial AgentsStreptomycinE. coligenotypingresistanceSalmonellastreptomycinwhole-genome sequencing

Identifiers

PMID26781915
PMCPMC11555754

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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.