Salmonella Typhimurium Genomic and Resistance Data from Jinhua

51 clinical isolates of Salmonella Typhimurium 1,4,[5],12:i:- were collected from diarrheal patients in Jinhua, China, between 2022 and 2024. The dataset characterizes antimicrobial susceptibility and genomic epidemiology, including sequence types, resistance genes, and plasmid structures. It documents the sporadic emergence of last-line resistance genes tet(X4) and blaNDM-5 on specific plasmid types.

Use Cases

• Analyze the co-occurrence of resistance genes like blaTEM-1B, sul2, tet(B), floR, and aac(6')-Iaa across the 51 ST34 isolates to define the conserved multidrug-resistant backbone.
• Investigate the plasmid structures (e.g., IncHI1/FIA, IncHI2) associated with the high-risk tet(X4) and blaNDM-5 genes to understand their transfer potential.
• Perform phylogenomic analysis using sequence type (ST34) and accessory resistome data to trace diversification and transmission within the regional population.
• Correlate antimicrobial susceptibility testing results (e.g., resistance to ampicillin, tetracycline) with the presence of specific genomic resistance determinants.
• Study the environmental facilitation of plasmid transfer by examining data related to conjugation efficiency at different temperatures, such as 26 °C.

Strengths

• Includes 51 clinically relevant bacterial isolates with paired phenotypic and genomic characterization.
• Data spans a defined 3-year collection period (2022-2024) from a specific geographic region (Jinhua, China).
• Contains detailed findings on high-risk, last-line resistance genes (tet(X4) and blaNDM-5) and their plasmid contexts.
• All isolates are phylogenomically confirmed to belong to the globally significant ST34 clone, enabling focused analysis.

Limitations

• The sample size of 51 isolates is relatively small, limiting statistical power for rare event analysis.
• Geographic scope is restricted to a single city (Jinhua), which may not represent broader national or global resistance patterns.
• As a supplementary table from a research study, the dataset's structure and available variables are not explicitly described.

Provenance

Source

Research study by Chen Yang, shared via figshare.

Collection Method

Clinical isolates collected from diarrheal patients; antimicrobial susceptibility testing per CLSI 2023 guidelines and whole-genome sequencing.

Time Range

2022 to 2024

Freshness

Data is recent, with collection through 2024 and a platform update in March 2026.

Geography

Jinhua, Zhejiang Province, China