Molecular Characterization of Listeria monocytogenes in the Food Chain of the Republic of Kosovo from 2016 to 2022

The present study describes the genetic characterization of <i>L. monocytogenes</i> strains found in the Republic of Kosovo's food chain. From 2016 to 2022, 995 samples were collected. Overall, 648 samples were from ready-to-eat (RTE) food products, 281 from food products consumed cooked (FPCC), 60 from raw materials, and 6 from environmental samples. Overall, 11.76% (117 out of 995) of the samples were contaminated by <i>L. monocytogenes</i>, comprising 6.33% (41 out of 648) from RTE products, 14.95% (42 out of 281) from FPCC, 55.00% (33 out of 60) from raw materials, and 16.66% (1 out of 6) from environmental samples. All isolates were subjected to molecular serotyping and clonal complex (CC) identification by using real-time PCR, as well as multilocus sequence typing. All isolates were grouped into four molecular serotypes, IIa (34.19%), IIb (3.48%), IIc (32.48%), and IVb (29.91%), as well as Lineage I (33.33%) and Lineage II (66.66%). In total, 14 CCs were identified from 41 RTE isolates; however, CC29 (7), CC2 (6), and CC6 (6) were the most dominant. By contrast, CC9 was by far the most represented CC in both FPCC (21) and RM (14). Moreover, 30 isolates expressed CC1, CC2, CC4, or CC6, which are particularly associated with severe human infections.

Authors

Institutions

Publication Details

Journal
Foods
Published
2024-09-12
DOI
https://doi.org/10.3390/foods13182883
Citations
3
Primary Topic
Listeria monocytogenes in Food Safety
Type
article
Field-Weighted Citation Impact
1.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Characterization of Listeria monocytogenes in the Food Chain of the Republic of Kosovo from 2016 to 2022

Armend Cana, Beatrix Stessl, Dean Jankuloski, Bledar Bisha et al.
3 citations
Foods
Listeria monocytogenes in Food Safety
1.16
article

Molecular Characterization of Listeria monocytogenes in the Food Chain of the Republic of Kosovo from 2016 to 2022

Armend Cana, Beatrix Stessl, Dean Jankuloski, Bledar Bisha, Besart Jashari, Benjamin Félix, Katerina Blagoevska, Karine Capitaine
article en
3 citations

Abstract

The present study describes the genetic characterization of <i>L. monocytogenes</i> strains found in the Republic of Kosovo's food chain. From 2016 to 2022, 995 samples were collected. Overall, 648 samples were from ready-to-eat (RTE) food products, 281 from food products consumed cooked (FPCC), 60 from raw materials, and 6 from environmental samples. Overall, 11.76% (117 out of 995) of the samples were contaminated by <i>L. monocytogenes</i>, comprising 6.33% (41 out of 648) from RTE products, 14.95% (42 out of 281) from FPCC, 55.00% (33 out of 60) from raw materials, and 16.66% (1 out of 6) from environmental samples. All isolates were subjected to molecular serotyping and clonal complex (CC) identification by using real-time PCR, as well as multilocus sequence typing. All isolates were grouped into four molecular serotypes, IIa (34.19%), IIb (3.48%), IIc (32.48%), and IVb (29.91%), as well as Lineage I (33.33%) and Lineage II (66.66%). In total, 14 CCs were identified from 41 RTE isolates; however, CC29 (7), CC2 (6), and CC6 (6) were the most dominant. By contrast, CC9 was by far the most represented CC in both FPCC (21) and RM (14). Moreover, 30 isolates expressed CC1, CC2, CC4, or CC6, which are particularly associated with severe human infections.

FoodsVol. 13(18)
University of Wyoming (US), University of Veterinary Medicine Vienna (AT), Paris-Est Sup (FR), University for Business and Technology (XK), Kosovo Telecom (Kosovo) (XK), Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (FR), Ss. Cyril and Methodius University in Skopje (MK)
University of Wyoming, Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail
Zero hunger
Openalex Percentile: Top 22%
Listeria monocytogenes in Food Safety
1.16
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.