Evidence map›Paper›PMID 35236849›Full record

ArticleNature communications2022

Antimicrobial resistance and population genomics of multidrug-resistant Escherichia coli in pig farms in mainland China.

Zhong Peng, Zizhe Hu, Zugang Li, Xiaoxue Zhang, Chaoying Jia, Tianzhi Li, Menghong Dai, Chen Tan, Zhuofei Xu, Bin Wu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Prevalence of antimicrobial-resistantOne health (Amsterdam, Netherlands) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genomic epidemiology ofOne health (Amsterdam, Netherlands) · 2026
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  7. Article
  8. Article
  9. Multidrug-ResistantVeterinary sciences · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Computational Evaluation ofCurrent computer-aided drug design · 2026
    Article
  14. Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026
    Review
  15. Article
  16. Transcriptomic Analysis of the Impact of theAnimals : an open access journal from MDPI · 2025
    Article
  17. Global genomic survey ofEmerging microbes & infections · 2025
    Article
  18. The stems and leaves ofAnimal biotechnology · 2025
    Article
  19. Article
  20. Article

18 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

12 authors.

Zhong Peng *State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.ORCID http://orcid.org/0000-0001-5249-328X
Zizhe Hu *State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
Zugang LiState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
Xiaoxue ZhangState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
Chaoying JiaState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
Tianzhi LiState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
Menghong DaiMOA Key Laboratory of Food Safety Evaluation/National Reference Laboratory of Veterinary Drug Residue (HZAU), Huazhong Agricultural University, 430070, Wuhan, China.
Chen TanState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
Zhuofei XuShanghai MasScience Biotechnology Institute, Shanghai, China.
Bin WuState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.ORCID http://orcid.org/0000-0001-9078-386X
Huanchun ChenState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China.
Xiangru WangState Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, 430070, Wuhan, China. wangxr228@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0003-0191-1378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expanding use of antimicrobials in livestock is an important contributor to the worldwide rapid increase in antimicrobial resistance (AMR). However, large-scale studies on AMR in livestock remain scarce. Here, we report findings from surveillance of E. coli AMR in pig farms in China in 2018-2019. We isolated E. coli in 1,871 samples from pigs and their breeding environments, and found AMR in E. coli in all provinces in mainland China. We detected multidrug-resistance in 91% isolates and found resistance to last-resort drugs including colistin, carbapenems and tigecycline. We also identified a heterogeneous group of O-serogroups and sequence types among the multidrug-resistant isolates. These isolates harbored multiple resistance genes, virulence factor-encoding genes, and putative plasmids. Our data will help to understand the current AMR profiles of pigs and provide a reference for AMR control policy formulation for livestock in China.

Indexed as

Anti-Infective AgentsEscherichia coli InfectionsAnimalsAnti-Bacterial AgentsChinaDrug Resistance, BacterialEscherichia coliFarmsLivestockMetagenomicsMicrobial Sensitivity TestsSwineAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID35236849
PMCPMC8891348

What OpenQuestion holds

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Registered trials

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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.