Next Article in Journal
Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing
Next Article in Special Issue
Report and Comparative Genomics of an NDM-5-Producing Escherichia coli in a Portuguese Hospital: Complex Class 1 Integrons as Important Players in blaNDM Spread
Previous Article in Journal
Effect of Environmental Heterogeneity and Trophic Status in Sampling Strategy on Estimation of Small-Scale Regional Biodiversity of Microorganisms
Previous Article in Special Issue
Molecular Characterization and Antibiotic Susceptibility of Non-PCV13 Pneumococcal Serotypes among Vaccinated Children in Cape Coast, Ghana
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 10
Issue 11
10.3390/microorganisms10112120
microorganisms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Whole-Genome Sequence Comparisons of Listeria monocytogenes Isolated from Meat and Fish Reveal High Inter- and Intra-Sample Diversity

by
Larissa Murr
1,2,*,
Ingrid Huber
1,
Melanie Pavlovic
1,
Patrick Guertler
1,
Ute Messelhaeusser
1,
Manuela Weiss
1,
Matthias Ehrmann
2,
Christian Tuschak
1,
Hans Bauer
3,
Mareike Wenning
1,
Ulrich Busch
1 and
Nancy Bretschneider
1
1
Bavarian Health and Food Safety Authority (LGL), 85764 Oberschleissheim, Germany
2
TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
3
Bavarian Health and Food Safety Authority (LGL), 91058 Erlangen, Germany
*
Author to whom correspondence should be addressed.
Microorganisms 2022, 10(11), 2120; https://doi.org/10.3390/microorganisms10112120
Submission received: 30 September 2022 / Revised: 15 October 2022 / Accepted: 21 October 2022 / Published: 26 October 2022
(This article belongs to the Special Issue New Insights into Epidemiology, Detection and Characterization of Bacterial Pathogens)
Browse Figures
Versions Notes

Abstract

Interpretation of whole-genome sequencing (WGS) data for foodborne outbreak investigations is complex, as the genetic diversity within processing plants and transmission events need to be considered. In this study, we analyzed 92 food-associated Listeria monocytogenes isolates by WGS-based methods. We aimed to examine the genetic diversity within meat and fish production chains and to assess the applicability of suggested thresholds for clustering of potentially related isolates. Therefore, meat-associated isolates originating from the same samples or processing plants as well as fish-associated isolates were analyzed as distinct sets. In silico serogrouping, multilocus sequence typing (MLST), core genome MLST (cgMLST), and pangenome analysis were combined with screenings for prophages and genetic traits. Isolates of the same subtypes (cgMLST types (CTs) or MLST sequence types (STs)) were additionally compared by SNP calling. This revealed the occurrence of more than one CT within all three investigated plants and within two samples. Analysis of the fish set resulted in predominant assignment of isolates from pangasius catfish and salmon to ST2 and ST121, respectively, potentially indicating persistence within the respective production chains. The approach not only allowed the detection of distinct subtypes but also the determination of differences between closely related isolates, which need to be considered when interpreting WGS data for surveillance.
Keywords: cgMLST; pangenome; SNP calling; genetic diversity; processing plants; outbreak; fish; ST382 cgMLST; pangenome; SNP calling; genetic diversity; processing plants; outbreak; fish; ST382

Share and Cite

MDPI and ACS Style

Murr, L.; Huber, I.; Pavlovic, M.; Guertler, P.; Messelhaeusser, U.; Weiss, M.; Ehrmann, M.; Tuschak, C.; Bauer, H.; Wenning, M.; et al. Whole-Genome Sequence Comparisons of Listeria monocytogenes Isolated from Meat and Fish Reveal High Inter- and Intra-Sample Diversity. Microorganisms 2022, 10, 2120. https://doi.org/10.3390/microorganisms10112120

AMA Style

Murr L, Huber I, Pavlovic M, Guertler P, Messelhaeusser U, Weiss M, Ehrmann M, Tuschak C, Bauer H, Wenning M, et al. Whole-Genome Sequence Comparisons of Listeria monocytogenes Isolated from Meat and Fish Reveal High Inter- and Intra-Sample Diversity. Microorganisms. 2022; 10(11):2120. https://doi.org/10.3390/microorganisms10112120

Chicago/Turabian Style

Murr, Larissa, Ingrid Huber, Melanie Pavlovic, Patrick Guertler, Ute Messelhaeusser, Manuela Weiss, Matthias Ehrmann, Christian Tuschak, Hans Bauer, Mareike Wenning, and et al. 2022. "Whole-Genome Sequence Comparisons of Listeria monocytogenes Isolated from Meat and Fish Reveal High Inter- and Intra-Sample Diversity" Microorganisms 10, no. 11: 2120. https://doi.org/10.3390/microorganisms10112120

APA Style

Murr, L., Huber, I., Pavlovic, M., Guertler, P., Messelhaeusser, U., Weiss, M., Ehrmann, M., Tuschak, C., Bauer, H., Wenning, M., Busch, U., & Bretschneider, N. (2022). Whole-Genome Sequence Comparisons of Listeria monocytogenes Isolated from Meat and Fish Reveal High Inter- and Intra-Sample Diversity. Microorganisms, 10(11), 2120. https://doi.org/10.3390/microorganisms10112120

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop