Evidence map›Paper›PMID 39385092›Full record

ArticleBMC microbiology2024

Detection and characterization of Campylobacter in air samples from poultry houses using shot-gun metagenomics - a pilot study.

Thomas H A Haverkamp, Bjørn Spilsberg, Gro S Johannessen, Mona Torp, Camilla Sekse

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Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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  3. Review
  4. Defining a metagenomic threshold for detecting low abundances ofFrontiers in cellular and infection microbiology · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Thomas H A HaverkampNorwegian Veterinary Institute, Oslo, Norway. thomas.haverkamp@vetinst.no.
Bjørn SpilsbergNorwegian Veterinary Institute, Oslo, Norway.
Gro S JohannessenNorwegian Veterinary Institute, Oslo, Norway.
Mona TorpNorwegian Veterinary Institute, Oslo, Norway.
Camilla SekseNorwegian Veterinary Institute, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFoodborne pathogens such as Campylobacter jejuni are responsible for a large proportion of the gastrointestinal infections worldwide associated with poultry meat. Campylobacter spp. can be found in the chicken fecal microbiome and can contaminate poultry meat during the slaughter process. Commonly used sampling methods to detect Campylobacter spp. at poultry farms use fecal droppings or boot swabs in combination with conventional culture techniques or PCR. In this pilot study, we have used air filtering and filters spiked with mock communities in combination with shotgun metagenomics to detect Campylobacter and test the applicability of this approach for the detection and characterization of foodborne pathogens. To the best of our knowledge is this the first study that combines air filtering with shotgun metagenomic sequencing for detection and characterization of Campylobacter.

resultsAnalysis of air filters spiked with different levels of Campylobacter, into a background of mock or poultry house communities, indicated that we could detect as little as 200 colony forming units (CFU) Campylobacter per sample using our protocols. The results indicate that even with limited sequencing effort we could detect Campylobacter in the samples analysed in this study. We observed significant amounts of Campylobacter in real-life samples from poultry houses using both real-time PCR as well as shotgun metagenomics, suggesting that the flocks in both houses were infected with Campylobacter spp. Interestingly, in both houses we find diverse microbial communities present in the indoor air which reflect the fecal microbiome of poultry. Some of the identified genera such as Staphylococcus, Escherichia and Pseudomonas are known to contain opportunistic pathogenic species.

conclusionsThese results show that air sampling of poultry houses in combination with shotgun metagenomics can detect and identify Campylobacter spp. present at low levels. This is important since early detection of Campylobacter enables measures to be put in place to ensure the safety of broiler products, animal health and public health. This approach has the potential to detect any pathogen present in poultry house air.

Indexed as

Air MicrobiologyCampylobacterChickensMetagenomicsAnimalsCampylobacter InfectionsFecesHousing, AnimalPilot ProjectsPoultryReal-Time Polymerase Chain ReactionCampylobacter spp.Gelatin air filterMetagenomicsMicrobial communitiesMock communitiesSpike controls

Identifiers

PMID39385092
PMCPMC11462905

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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.