Evidence map›Paper›PMID 39407346›Full record

ArticleMicrobiome2024

In-depth characterization of food and environmental microbiomes across different meat processing plants.

Coral Barcenilla, José F Cobo-Díaz, Alba Puente, Vincenzo Valentino, Francesca De Filippis, Danilo Ercolini, Niccolò Carlino, Federica Pinto, Nicola Segata, Miguel Prieto and 2 more

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Environmental microbial community signatures associated withApplied and environmental microbiology · 2026
    Article
  2. International journal of systematic and evolutionary microbiology · 2026
    Article
  3. Article
  4. Article
  5. Occurrence and Antimicrobial Resistance ofFoods (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Foods (Basel, Switzerland) · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Coral Barcenilla *Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071, León, Spain.
José F Cobo-Díaz *Department of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071, León, Spain. jcobd@unileon.es.
Alba PuenteDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071, León, Spain.
Vincenzo ValentinoDepartment of Agricultural Sciences, University of Naples Federico II, 80055, Portici, Italy.
Francesca De FilippisDepartment of Agricultural Sciences, University of Naples Federico II, 80055, Portici, Italy.
Danilo ErcoliniDepartment of Agricultural Sciences, University of Naples Federico II, 80055, Portici, Italy.
Niccolò CarlinoDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.
Federica PintoDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.
Nicola SegataDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38123, Trento, Italy.
Miguel PrietoDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071, León, Spain.
Mercedes LópezDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071, León, Spain.
Avelino Alvarez-OrdóñezDepartment of Food Hygiene and Technology and Institute of Food Science and Technology, Universidad de León, 24071, León, Spain.

Funding

Junta de Castilla y León and the European Social Fund BOCYL-D-07072020-6Ministerio de Ciencia e Innovación, Spain PRE2021-098910
6 · The paper itself

Abstract

backgroundProcessing environments can be an important source of pathogenic and spoilage microorganisms that cross contaminate meat and meat products. The aim of this study was to characterize the microbiome of raw materials, processing environments and end products from 19 facilities producing different meat products.

resultsThe taxonomic profiles of the microbial communities evolved along processing, from raw materials to end products, suggesting that food contact (FC) surfaces play an important role in modulating the microbiome of final products. Some species persisted with the highest relative abundance in raw materials, food processing environments and/or in the final product, including species from the genera Pseudomonas, Staphylococcus, Brochothrix, Acinetobacter and Psychrobacter. Processing environments showed a very diverse core microbiota, partially shared with the products. Pseudomonas fragi and Pseudomonas sp. Lz4W (in all sample and facility types) and Brochothrix thermosphacta, Psychrobacter sp. and Psychrobacter sp. P11F6 (in raw materials, FC surfaces and end products) were prominent members of the core microbiota for all facilities, while Latilactobacillus sakei was found as a dominant species exclusively in end products from the facilities producing fermented sausages. Processing environments showed a higher amount of antimicrobial resistance genes and virulence factors than raw materials and end products. One thousand four hundred twenty-one medium/high-quality metagenome-assembled genomes (MAGs) were reconstructed. Of these, 274 high-quality MAGs (completeness > 90%) corresponded to 210 putative new species, mostly found in processing environments. For two relevant taxa in meat curing and fermentation processes (S. equorum and L. sakei, respectively), phylogenetic variation was observed associated with the specific processing facility under study, which suggests that specific strains of these taxa may be selected in different meat processing plants, likely contributing to the peculiar sensorial traits of the end products produced in them.

conclusionsOverall, our findings provide the most detailed metagenomics-based perspective up to now of the microbes that thrive in meat, meat products and associated environments and open avenues for future research activities to better understand the microbiome functionality and potential contribution to meat quality and safety. Video Abstract.

Indexed as

BacteriaFood HandlingFood MicrobiologyMeat ProductsMicrobiotaAnimalsEnvironmental MicrobiologyMeatPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SFood processing environmentsMeatMetagenomicsMicrobiomeResident microbiotaResistomeVirulome

Identifiers

PMID39407346
PMCPMC11481301

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.