Evidence map›Paper›PMID 36005805›Full record

ReviewApplied and environmental microbiology2022

Pervasive

Annette Fagerlund, Eva Wagner, Trond Møretrø, Even Heir, Birgitte Moen, Kathrin Rychli, Solveig Langsrud

Open access · hybridAbstract readReview
In one paragraph

Review in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.4field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Environmental microbial community signatures associated withApplied and environmental microbiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Evolved populations ofMicrobial genomics · 2026
    Article
  6. International journal of microbiology · 2026
    Article
  7. Persistence ofFrontiers in microbiology · 2026
    Review
  8. Article
  9. Large-scale phenotypic and genomic analysis ofApplied and environmental microbiology · 2025
    Article
  10. Article
  11. Genome-resolved tracking ofFrontiers in fungal biology · 2025
    Article
  12. Article
  13. Early detection and population dynamics ofFrontiers in microbiology · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Genomic characterization ofFrontiers in microbiology · 2024
    Article
  18. Article
  19. Genetic diversity ofAIMS microbiology · 2024
    Article
  20. Reduction and Growth Inhibition ofFoods (Basel, Switzerland) · 2023
    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

7 authors at 2 institutions in 2 countries.

Annette FagerlundNofima, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Ås, Norway.ORCID 0000-0001-7146-4265
Eva WagnerNofima, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Ås, Norway.
Trond MøretrøNofima, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Ås, Norway.
Even HeirNofima, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Ås, Norway.
Birgitte MoenNofima, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Ås, Norway.
Kathrin RychliUnit for Food Microbiology, Institute for Food Safety, Food Technology and Veterinary Public Health, University of Veterinary Medicine, Vienna, Austria.
Solveig LangsrudNofima, Norwegian Institute of Food, Fisheries, and Aquaculture Research, Ås, Norway.
Nofima · NOUniversity of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the diversity, distribution, persistence, and prevalence of stress survival and resistance genes of Listeria monocytogenes clones dominating in food processing environments in Norway, genome sequences from 769 L. monocytogenes isolates from food industry environments, foods, and raw materials (512 of which were sequenced in the present study) were subjected to whole-genome multilocus sequence typing (wgMLST), single-nucleotide polymorphism (SNP), and comparative genomic analyses. The data set comprised isolates from nine meat and six salmon processing facilities in Norway collected over a period of three decades. The most prevalent clonal complex (CC) was CC121, found in 10 factories, followed by CC7, CC8, and CC9, found in 7 factories each. Overall, 72% of the isolates were classified as persistent, showing 20 or fewer wgMLST allelic differences toward an isolate found in the same factory in a different calendar year. Moreover, over half of the isolates (56%) showed this level of genetic similarity toward an isolate collected from a different food processing facility. These were designated as pervasive strains, defined as clusters with the same level of genetic similarity as persistent strains but isolated from different factories. The prevalence of genetic determinants associated with increased survival in food processing environments, including heavy metal and biocide resistance determinants, stress response genes, and

Indexed as

DisinfectantsListeria monocytogenesFood MicrobiologyPrevalenceWhole Genome SequencingDisinfectantsantibiotic resistancefood processing environmentfood safetyinlAListeria monocytogenesmeat industrymeat processingpersistencepervasiveplasmidssalmon industrysalmon processingstress resistancestress survivalWGSwhole-genome sequencing

Identifiers

PMID36005805
PMCPMC9499026
OpenAlexW4293052015

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.