Evidence map›Paper›PMID 39033143›Full record

ArticleNature communications2024

Characterization of a Salmonella enterica serovar Typhimurium lineage with rough colony morphology and multidrug resistance.

Ying Xiang, Kunpeng Zhu, Kaiyuan Min, Yaowen Zhang, Jiangfeng Liu, Kangkang Liu, Yiran Han, Xinge Li, Xinying Du, Xin Wang and 22 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Comparative Biofilmomics of Antimicrobial-ResistantAnimals : an open access journal from MDPI · 2026
    Review
  7. Article
  8. Article
  9. China CDC weekly · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The First Case of Antimicrobial-ResistantInfection and drug resistance · 2025
    Article
  15. Article
  16. 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

32 authors.

Ying Xiang *Center for Disease Control and Prevention of Chinese PLA, Beijing, China.
Kunpeng Zhu *Center for Disease Control and Prevention of Chinese PLA, Beijing, China.
Kaiyuan Min *State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.ORCID 0000-0001-7292-0314
Yaowen Zhang *Center for Disease Control and Prevention of Chinese PLA, Beijing, China.
Jiangfeng Liu *State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Kangkang LiuCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.ORCID 0000-0002-5091-157X
Yiran HanCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Xinge LiCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Xinying DuCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Xin WangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Ying HuangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Xinping LiCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Yuqian PengCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Chaojie YangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Hongbo LiuCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Hongbo LiuCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Xiaoying LiCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Hui WangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Chao WangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Qi WangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Huiqun JiaCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Mingjuan YangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Ligui WangCenter for Disease Control and Prevention of Chinese PLA, Beijing, China.
Yarong WuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.ORCID 0000-0003-4900-315X
Yujun CuiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.ORCID 0000-0001-7236-2412
Fei ChenCAS Key Laboratory of Genome Sciences & Information, Beijing Institute of Genomics, Chinese Academy of Sciences, China National Center for Bioinformation, Beijing, China.
Haiyan YangDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-1797-304X
Stephen BakerUniversity of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom.ORCID 0000-0002-7797-9080
Xuebin XuShanghai Municipal Center for Disease Control and Prevention, Shanghai, China. xxb72@sina.com.ORCID 0000-0002-1986-6539
Juntao YangState Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China. yangjt@pumc.edu.cn.ORCID 0000-0003-1180-391X
Hongbin SongCenter for Disease Control and Prevention of Chinese PLA, Beijing, China. hongbinsong@263.net.ORCID 0000-0002-2781-3031
Shaofu QiuCenter for Disease Control and Prevention of Chinese PLA, Beijing, China. qiushf0613@hotmail.com.ORCID 0000-0001-5070-9294

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82173580National Natural Science Foundation of China (National Science Foundation of China) 82202538
6 · The paper itself

Abstract

Salmonella enterica serovar Typhimurium (S. Typhimurium) is a major cause of salmonellosis, and the emergence of multidrug-resistant pathovariants has become a growing concern. Here, we investigate a distinct rough colony variant exhibiting a strong biofilm-forming ability isolated in China. Whole-genome sequencing on 2,212 Chinese isolates and 1,739 publicly available genomes reveals the population structure and evolutionary history of the rough colony variants. Characterized by macro, red, dry, and rough (mrdar) colonies, these variants demonstrate enhanced biofilm formation at 28 °C and 37 °C compared to typical rdar colonies. The mrdar variants exhibit extensive multidrug resistance, with significantly higher resistance to at least five classes of antimicrobial agents compared to non-mrdar variants. This resistance is primarily conferred by an IncHI2 plasmid harboring 19 antimicrobial resistance genes. Phylogenomic analysis divides the global collections into six lineages. The majority of mrdar variants belong to sublineage L6.5, which originated from Chinese smooth colony strains and possibly emerged circa 1977. Among the mrdar variants, upregulation of the csgDEFG operons is observed, probably due to a distinct point mutation (-44G > T) in the csgD gene promoter. Pangenome and genome-wide association analyses identify 87 specific accessory genes and 72 distinct single nucleotide polymorphisms associated with the mrdar morphotype.

Indexed as

Anti-Bacterial AgentsBiofilmsDrug Resistance, Multiple, BacterialGenome, BacterialPhylogenySalmonella typhimuriumWhole Genome SequencingChinaHumansMicrobial Sensitivity TestsPlasmidsSalmonella InfectionsAnti-Bacterial Agents

Identifiers

PMID39033143
PMCPMC11271444

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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.