ArticleZoological research2024
Core and variable antimicrobial resistance genes in the gut microbiomes of Chinese and European pigs.
Article in Zoological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Insights into antibiotic resistomes from gut meta-genome-assembled genomes of the free-range chickens.Veterinary and animal science · 2026Article
- Insights into antibiotic resistomes from gut metagenome-assembled genomes of the free-range pigs.Microbiology spectrum · 2026Article
- Gut microbiome plasticity explains the altitudinal distribution pattern and adaptability in a small mammal species (Microbiology spectrum · 2026Article
- Integrated multi-omics reveals the impact of ruminal keystone bacteria and microbial metabolites on average daily gain in Xuzhou cattle.Microbiology spectrum · 2025Article
- Impact of whole grain highland hull-less barley on the denaturing gradient gel electrophoresis profiles of gut microbial communities in rats fed high-fat diets.Microbiology spectrum · 2024Article
- Multi-omics analysis reveals associations between host gene expression, gut microbiota, and metabolites in chickens.Journal of animal science · 2024Article
- Impact of high-altitude acclimatization and de-acclimatization on the intestinal microbiota of rats in a natural high-altitude environment.Frontiers in microbiology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring the prevalence of antimicrobial resistance genes (ARGs) is vital for addressing the global crisis of antibiotic-resistant bacterial infections. Despite its importance, the characterization of ARGs and microbiome structures, as well as the identification of indicators for routine ARG monitoring in pig farms, are still lacking, particularly concerning variations in antimicrobial exposure in different countries or regions. Here, metagenomics and random forest machine learning were used to elucidate the ARG profiles, microbiome structures, and ARG contamination indicators in pig manure under different antimicrobial pressures between China and Europe. Results showed that Chinese pigs exposed to high-level antimicrobials exhibited higher total and plasmid-mediated ARG abundances compared to those in European pigs (
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