Evidence map›Paper›PMID 30453904›Full record

ArticleBMC microbiology2018

Metagenomics of pasteurized and unpasteurized gouda cheese using targeted 16S rDNA sequencing.

Joelle K Salazar, Christina K Carstens, Padmini Ramachandran, Arlette G Shazer, Sartaj S Narula, Elizabeth Reed, Andrea Ottesen, Kristin M Schill

Abstract readComparative Study
In one paragraph

Article in BMC microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The Invisible Threat of Antibiotic Resistance in Food.Antibiotics (Basel, Switzerland) · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. TheFrontiers in microbiology · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Joelle K SalazarDivision of Food Processing Science and Technology, Office of Food Safety, U. S. Food and Drug Administration, Bedford Park, IL, USA.
Christina K CarstensDivision of Food Processing Science and Technology, Office of Food Safety, U. S. Food and Drug Administration, Bedford Park, IL, USA.
Padmini RamachandranDivision of Microbiology, Office of Regulatory Science, U. S. Food and Drug Administration, College Park, MD, USA.
Arlette G ShazerDivision of Food Processing Science and Technology, Office of Food Safety, U. S. Food and Drug Administration, Bedford Park, IL, USA.
Sartaj S NarulaIllinois Institute of Technology, Institute for Food Safety and Health, Bedford Park, IL, USA.
Elizabeth ReedDivision of Microbiology, Office of Regulatory Science, U. S. Food and Drug Administration, College Park, MD, USA.
Andrea OttesenDivision of Microbiology, Office of Regulatory Science, U. S. Food and Drug Administration, College Park, MD, USA.
Kristin M SchillDivision of Food Processing Science and Technology, Office of Food Safety, U. S. Food and Drug Administration, Bedford Park, IL, USA. kristin.schill@fda.hhs.gov.

Funding

National Center for Food Safety and TechnologyU19FD005322 · FDA · ILLINOIS INSTITUTE OF TECHNOLOGY · PI Brian Todd Schaneberg · 2014 to 2026
$52.7M
FDA HHS U19 FD005322
6 · The paper itself

Abstract

backgroundThe microbiome of cheese is diverse, even within a variety. The metagenomics of cheese is dependent on a vast array of biotic and abiotic factors. Biotic factors include the population of microbiota and their resulting cellular metabolism. Abiotic factors, including the pH, water activity, fat, salt, and moisture content of the cheese matrix, as well as environmental conditions (temperature, humidity, and location of aging), influence the biotic factors. This study assessed the metagenomics of commercial Gouda cheese prepared using pasteurized or unpasteurized cow milk or pasteurized goat milk via 16S rDNA sequencing.

resultsResults were analyzed and compared based on milk pasteurization and source, spatial variability (core, outer, and under the rind), and length of aging (2-4 up to 12-18 months). The dominant organisms in the Gouda cheeses, based on percentage of sequence reads identified at the family or genus levels, were Bacillaceae, Lactococcus, Lactobacillus, Streptococcus, and Staphylococcus. More genus- or family-level (e.g. Bacillaceae) identifications were observed in the Gouda cheeses prepared with unpasteurized cow milk (120) compared with those prepared with pasteurized cow milk (92). When assessing influence of spatial variability on the metagenomics of the cheese, more pronounced differences in bacterial genera were observed in the samples taken under the rind; Brachybacterium, Pseudoalteromonas, Yersinia, Klebsiella, and Weissella were only detected in these samples. Lastly, the aging length of the cheese greatly influenced the number of organisms observed. Twenty-seven additional genus-level identifications were observed in Gouda cheese aged for 12-18 months compared with cheese only aged 2-4 months.

conclusionsCollectively, the results of this study are important in determining the typical microbiota associated with Gouda cheese and how the microbiome plays a role in safety and quality.

Indexed as

AnimalsBacteriaCattleCheeseDNA, BacterialFood MicrobiologyGoatsMetagenomicsMilkPasteurizationRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S16 s rDNACheeseDairyGoudaMetagenomeUnpasteurized milk

Identifiers

PMID30453904
PMCPMC6245907

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LicenceCC BY
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Registered trials

None linked

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.