Evidence map›Paper›PMID 34493269›Full record

ArticleBMC biology2021

Large-scale genomic analysis of antimicrobial resistance in the zoonotic pathogen Streptococcus suis.

Nazreen F Hadjirin, Eric L Miller, Gemma G R Murray, Phung L K Yen, Ho D Phuc, Thomas M Wileman, Juan Hernandez-Garcia, Susanna M Williamson, Julian Parkhill, Duncan J Maskell and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
15.1field-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

36 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Species Identification and Antimicrobial Resistance ofAnimals : an open access journal from MDPI · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. One health (Amsterdam, Netherlands) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Sharing ofmBio · 2025
    Article
  12. Review
  13. Isolation of phages infecting the zoonotic pathogenbioRxiv : the preprint server for biology · 2025
    Article
  14. Microbial genomics · 2024
    Article
  15. Emerging microbes & infections · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. First WGS Characterization ofTransboundary and emerging diseases · 2024
    Article
  20. The emergence and diversification of a zoonotic pathogen from within the microbiota of intensively farmed pigs.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

17 authors at 7 institutions in 6 countries.

Nazreen F HadjirinDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK. nh396@cam.ac.uk.
Eric L MillerMicrobial Ecology and Evolution Laboratory, Haverford College, Haverford, USA.
Gemma G R MurrayDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Phung L K YenOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Ho D PhucOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Thomas M WilemanDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Juan Hernandez-GarciaDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Susanna M WilliamsonDepartment for Environment, Food and Rural Affairs (Defra), London, UK.
Julian ParkhillDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Duncan J MaskellChancellery, University of Melbourne, Melbourne, Australia.
Rui ZhouCollege of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Nahuel FittipaldiFaculty of Veterinary Medicine, University of Montreal, Saint-Hyacinthe, Canada.
Marcelo GottschalkFaculty of Veterinary Medicine, University of Montreal, Saint-Hyacinthe, Canada.
A W Dan TuckerDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Ngo Thi HoaOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
John J WelchDepartment of Genetics, University of Cambridge, Cambridge, UK.
Lucy A WeinertDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
University of Cambridge · GBOxford University Clinical Research Unit · VNUniversité de Montréal · CADepartment for Environment Food and Rural Affairs · GBHaverford College · USHuazhong Agricultural University · CNUniversity of Melbourne · AU

Funding

Biotechnology and Biological Sciences Research Council BB/G019274/1Biotechnology and Biological Sciences Research Council BB/L003902/1Medical Research Council MR/N002660/1Medical Research Council MR/R002762/1
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is among the gravest threats to human health and food security worldwide. The use of antimicrobials in livestock production can lead to emergence of AMR, which can have direct effects on humans through spread of zoonotic disease. Pigs pose a particular risk as they are a source of zoonotic diseases and receive more antimicrobials than most other livestock. Here we use a large-scale genomic approach to characterise AMR in Streptococcus suis, a commensal found in most pigs, but which can also cause serious disease in both pigs and humans.

resultsWe obtained replicated measures of Minimum Inhibitory Concentration (MIC) for 16 antibiotics, across a panel of 678 isolates, from the major pig-producing regions of the world. For several drugs, there was no natural separation into 'resistant' and 'susceptible', highlighting the need to treat MIC as a quantitative trait. We found differences in MICs between countries, consistent with their patterns of antimicrobial usage. AMR levels were high even for drugs not used to treat S. suis, with many multidrug-resistant isolates. Similar levels of resistance were found in pigs and humans from regions associated with zoonotic transmission. We next used whole genome sequences for each isolate to identify 43 candidate resistance determinants, 22 of which were novel in S. suis. The presence of these determinants explained most of the variation in MIC. But there were also interesting complications, including epistatic interactions, where known resistance alleles had no effect in some genetic backgrounds. Beta-lactam resistance involved many core genome variants of small effect, appearing in a characteristic order.

conclusionsWe present a large dataset allowing the analysis of the multiple contributing factors to AMR in S. suis. The high levels of AMR in S. suis that we observe are reflected by antibiotic usage patterns but our results confirm the potential for genomic data to aid in the fight against AMR.

Indexed as

Streptococcus suisAnimalsAnti-Bacterial AgentsAnti-Infective AgentsDrug Resistance, BacterialGenomicsMicrobial Sensitivity TestsPharmaceutical PreparationsSwineAnti-Bacterial AgentsAnti-Infective AgentsPharmaceutical PreparationsBeta-lactam resistanceEcologyGenotype to phenotypePigPrediction modelTiamulinTrimethoprim

Identifiers

PMID34493269
PMCPMC8422772
OpenAlexW3197119269

What OpenQuestion holds

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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.