Evidence map›Paper›PMID 42050727›Full record

ArticleAnimal microbiome2026

Metagenomics provides broad detection of pathogens, antimicrobial resistance, and virulence genes in pig diarrhoea and complement conventional methods.

Mirena Ivanova, Birgitta Svensmark, Emilie Egholm Bruun Jensen, Frank M Aarestrup, Håkan Vigre, Saria Otani

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In one paragraph

Article in Animal microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mirena IvanovaResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark.
Birgitta SvensmarkLVK, Veterinary Practice, Hobro, Denmark.
Emilie Egholm Bruun JensenResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark.
Frank M AarestrupResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark.
Håkan VigreResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark.
Saria OtaniResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark. saot@food.dtu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-weaning diarrhoea (PWD) remains a major cause of morbidity in pig production and is commonly associated with enterotoxigenic Escherichia coli (ETEC). Conventional diagnostics rely on culturing and targeted qPCR, which provide limited resolution of pathogen diversity, virulence and antimicrobial resistance. Here, we evaluated Oxford Nanopore Technologies (ONT) metagenomic sequencing as a diagnostic tool for direct detection of pathogens, virulence factors and antimicrobial resistance genes (ARGs) from diarrhoeal pig faeces.

resultsTwenty-six diarrhoeal and six healthy pig faecal samples were analysed using culture, qPCR and ONT metagenomics with both high-output and rapid workflows. Culturing recovered 26 haemolytic E. coli and nine Clostridium perfringens isolates. PromethION metagenomics detected a significantly higher diversity of bacterial species, virulence factors and ARGs compared with GridION. Direct read mapping achieved 71–96% genome coverage for six E. coli isolates. Fourteen high- and medium-quality E. coli metagenome-assembled genomes (MAGs) were reconstructed, of which seven clustered closely with corresponding cultured isolates. All virulence factors detected in isolates were captured by metagenomics, while metagenomics identified additional fimbrial and enterotoxin genes not recovered by culture. Metagenomic ARG profiling identified resistance to 16 antibiotic classes, compared to eight classes in cultured isolates. No ESBL, carbapenemase or mcr genes were detected.

conclusionsLong-read ONT metagenomics enables culture-independent, strain-resolved characterisation of the pig gut microbiome during PWD, capturing pathogen diversity together with virulence and antimicrobial resistance profiles. This approach reveals within-sample strain heterogeneity and functional potential that are not resolved by conventional culturing, supporting its value for studying microbial ecology and dysbiosis in diseased animal microbiomes.

Identifiers

PMID42050727
PMCPMC13277185

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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.