GWAS Study Applied to Phenotypically Slow Growth Strains of Listeria monocytogenes Workflow and Outcome

<i>Listeria monocytogenes</i> (<i>Lm</i>) is a serious public health foodborne pathogen cause of listeriosis, usually in elderly, pregnant and immunocompromised people, linked to consumption of contaminated food, especially ready-to-eat (RTE) products. Different protocols can be used to detect <i>Lm</i>, and ISO11290-1:2017 is the reference method in Europe. Through molecular techniques such as whole genome sequencing (WGS) it is possible to discriminate between <i>Lm</i> strains, which are unequally distributed between clinical cases, food or food related environments, probably also due to enrichment step bias towards some <i>Lm</i> serogroup (IIa) compared to IVb. In the present work a set of <i>Lm</i> strains, detected in clinical cases and food, was investigated to define <i>Lm</i> strains growth ability after incubation in Half Fraser broth, and Genome Wide Association Studies (GWAS) applied to correlate the growth phenotype traits to presence of relevant genes. GWAS enabled the identification of a more relevant cassette of genes associated to a holin region of bacteriophage A118 and the determination of the distribution of relevant genes, highlighted from GWAS analysis within a population of <i>Lm</i> IVb and IIa.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2025-08-28
DOI
https://doi.org/10.3390/microorganisms13092011
Primary Topic
Listeria monocytogenes in Food Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GWAS Study Applied to Phenotypically Slow Growth Strains of Listeria monocytogenes Workflow and Outcome

Alexander Gmeiner, Frank M. Aarestrup, Pimlapas Leekitcharoenphon, Carlo Saverio Iorio et al.
Microorganisms
Listeria monocytogenes in Food Safety
article

GWAS Study Applied to Phenotypically Slow Growth Strains of Listeria monocytogenes Workflow and Outcome

Alexander Gmeiner, Frank M. Aarestrup, Pimlapas Leekitcharoenphon, Carlo Saverio Iorio, Paolo Fazii, Serena Bosica, Massimo Ancora, Patrick Murigu Kamau Njage, Cesare Cammà, Francesco Pomilio, Silvia Di Zacomo, Marina Torresi, Maria Elisabetta De Angelis, M. Ferrara, Narong Nuanmuang, Chiara Bravaccini, Viviana Belardo, Giovanna Alessia Robbe
article en

Abstract

<i>Listeria monocytogenes</i> (<i>Lm</i>) is a serious public health foodborne pathogen cause of listeriosis, usually in elderly, pregnant and immunocompromised people, linked to consumption of contaminated food, especially ready-to-eat (RTE) products. Different protocols can be used to detect <i>Lm</i>, and ISO11290-1:2017 is the reference method in Europe. Through molecular techniques such as whole genome sequencing (WGS) it is possible to discriminate between <i>Lm</i> strains, which are unequally distributed between clinical cases, food or food related environments, probably also due to enrichment step bias towards some <i>Lm</i> serogroup (IIa) compared to IVb. In the present work a set of <i>Lm</i> strains, detected in clinical cases and food, was investigated to define <i>Lm</i> strains growth ability after incubation in Half Fraser broth, and Genome Wide Association Studies (GWAS) applied to correlate the growth phenotype traits to presence of relevant genes. GWAS enabled the identification of a more relevant cassette of genes associated to a holin region of bacteriophage A118 and the determination of the distribution of relevant genes, highlighted from GWAS analysis within a population of <i>Lm</i> IVb and IIa.

MicroorganismsVol. 13(9)
University of Teramo (IT), Presidio Ospedaliero (IT), Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise G. Caporale (IT), Istituto Zooprofilattico Sperimentale delle Regioni Lazio e Toscana (IT), Technical University of Denmark (DK)
Openalex Percentile: Top 75%
Listeria monocytogenes in Food Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.