Table 2_Prevalence of Lawsonia intracellularis and characteristics of gut microbiomes of t

Yu Wang's dataset contains results from an epidemiological study of Lawsonia intracellularis infection in pigs from Shaanxi Province, China, conducted during 2022–2023. It includes fecal and serum sample test results from 672 and 300 samples, respectively, and 16S rRNA sequencing data comparing gut microbiomes of infected and non-infected pigs. The data was last updated on May 11, 2026.

Use Cases

• Analyze the correlation between Lawsonia intracellularis infection status and gut microbial diversity based on 16S rRNA sequencing results.
• Identify microbial biomarkers for Lawsonia intracellularis infection based on random forest analysis results.
• Compare epidemiological prevalence rates across different regions and pig age groups based on qPCR and ELISA test results.
• Study co-occurrence networks within the porcine gut microbiome based on network analysis results.

Strengths

• Includes results from 672 fecal and 300 serum samples, providing a substantial sample size.
• Reports specific prevalence rates with 95% confidence intervals (e.g., 15.3% fecal positive rate).
• Integrates multiple analysis methods: qPCR, ELISA, 16S sequencing, LEfSe, network, and random forest analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is limited to five intensive pig farms in Shaanxi Province, China, during 2022–2023, which may affect generalizability.

Provenance

Source

Author: Yu Wang. Platform: figshare.

Collection Method

Fecal and serum samples were collected from five intensive pig farms. Quantitative PCR (qPCR) and ELISA were used for pathogen detection, and 16S rRNA gene sequencing was performed on fecal samples.

Time Range

2022–2023

Freshness

Last updated 2026-05-11 11:37:14; freshness should be verified.

Geography

Shaanxi Province, China