Evidence map›Paper›PMID 26950338›Full record

ArticlePloS one2016

Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks.

Laurel S Burall, Christopher J Grim, Mark K Mammel, Atin R Datta

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. The identification of the new speciesFrontiers in microbiology · 2023
    Article
  3. Food science & nutrition · 2022
    Review
  4. Persistence ofFoods (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Article
  7. International journal of systematic and evolutionary microbiology · 2021
    Article
  8. Article
  9. Molecular Typing ofPathogens (Basel, Switzerland) · 2021
    Article
  10. Frontiers in microbiology · 2021
    Article
  11. 10-Year Molecular Surveillance ofFrontiers in microbiology · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Societal Implications of the Internet of Pathogens.Journal of clinical microbiology · 2019
    Article
  16. Comparative Genomics ofFrontiers in microbiology · 2019
    Article
  17. New Aspects onFrontiers in microbiology · 2018
    Article
  18. Article
  19. Genomic characterization of eightJournal of genomics · 2017
    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

4 authors.

Laurel S BurallCenter for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, Maryland, United States of America.
Christopher J GrimCenter for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, Maryland, United States of America.
Mark K MammelCenter for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, Maryland, United States of America.
Atin R DattaCenter for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, Maryland, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an effort to build a comprehensive genomic approach to food safety challenges, the FDA has implemented a whole genome sequencing effort, GenomeTrakr, which involves the sequencing and analysis of genomes of foodborne pathogens. As a part of this effort, we routinely sequence whole genomes of Listeria monocytogenes (Lm) isolates associated with human listeriosis outbreaks, as well as those isolated through other sources. To rapidly establish genetic relatedness of these genomes, we evaluated tetranucleotide frequency analysis via the JSpecies program to provide a cursory analysis of strain relatedness. The JSpecies tetranucleotide (tetra) analysis plots standardized (z-score) tetramer word frequencies of two strains against each other and uses linear regression analysis to determine similarity (r2). This tool was able to validate the close relationships between outbreak related strains from four different outbreaks. Included in this study was the analysis of Lm strains isolated during the recent caramel apple outbreak and stone fruit incident in 2014. We identified that many of the isolates from these two outbreaks shared a common 4b variant (4bV) serotype, also designated as IVb-v1, using a qPCR protocol developed in our laboratory. The 4bV serotype is characterized by the presence of a 6.3 Kb DNA segment normally found in serotype 1/2a, 3a, 1/2c and 3c strains but not in serotype 4b or 1/2b strains. We decided to compare these strains at a genomic level using the JSpecies Tetra tool. Specifically, we compared several 4bV and 4b isolates and identified a high level of similarity between the stone fruit and apple 4bV strains, but not the 4b strains co-identified in the caramel apple outbreak or other 4b or 4bV strains in our collection. This finding was further substantiated by a SNP-based analysis. Additionally, we were able to identify close relatedness between isolates from clinical cases from 1993-1994 and a single case from 2011 as well as links between two isolates from over 30 years ago. The identification of these potential links shows that JSpecies Tetra analysis can be a useful tool in rapidly assessing genetic relatedness of Lm isolates during outbreak investigations and for comparing historical isolates. Our analyses led to the identification of a highly related clonal group involved in two separate outbreaks, stone fruit and caramel apple, and suggests the possibility of a new genotype that may be better adapted for certain foods and/or environment.

Indexed as

Disease OutbreaksGenomicsHumansListeria monocytogenesListeriosisSequence Analysis, DNA

Identifiers

PMID26950338
PMCPMC4780826

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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.