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A global genomic analysis of Salmonella Concord reveals lineages with high antimicrobial resistance in Ethiopia
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s41467-023-38902-x.pdf | Published version | 1.39 MB | Adobe PDF | View/Open |
Title: | A global genomic analysis of Salmonella Concord reveals lineages with high antimicrobial resistance in Ethiopia |
Authors: | Cuypers, WL Meysman, P Weill, F-X Hendriksen, RS Beyene, G Wain, J Nair, S Chattaway, MA Perez-Sepulveda, BM Ceyssens, P-J De Block, T Lee, WWY Pardos de la Gandara, M Kornschober, C Moran-Gilad, J Veldman, KT Cormican, M Torpdahl, M Fields, PI Černý, T Hardy, L Tack, B Mellor, KC Thomson, N Dougan, G Deborggraeve, S Jacobs, J Laukens, K Van Puyvelde, S |
Item Type: | Journal Article |
Abstract: | Antimicrobial resistant Salmonella enterica serovar Concord (S. Concord) is known to cause severe gastrointestinal and bloodstream infections in patients from Ethiopia and Ethiopian adoptees, and occasional records exist of S. Concord linked to other countries. The evolution and geographical distribution of S. Concord remained unclear. Here, we provide a genomic overview of the population structure and antimicrobial resistance (AMR) of S. Concord by analysing genomes from 284 historical and contemporary isolates obtained between 1944 and 2022 across the globe. We demonstrate that S. Concord is a polyphyletic serovar distributed among three Salmonella super-lineages. Super-lineage A is composed of eight S. Concord lineages, of which four are associated with multiple countries and low levels of AMR. Other lineages are restricted to Ethiopia and horizontally acquired resistance to most antimicrobials used for treating invasive Salmonella infections in low- and middle-income countries. By reconstructing complete genomes for 10 representative strains, we demonstrate the presence of AMR markers integrated in structurally diverse IncHI2 and IncA/C2 plasmids, and/or the chromosome. Molecular surveillance of pathogens such as S. Concord supports the understanding of AMR and the multi-sector response to the global AMR threat. This study provides a comprehensive baseline data set essential for future molecular surveillance. |
Issue Date: | 14-Jun-2023 |
Date of Acceptance: | 22-May-2023 |
URI: | http://hdl.handle.net/10044/1/112640 |
DOI: | 10.1038/s41467-023-38902-x |
ISSN: | 2041-1723 |
Publisher: | Nature Portfolio |
Journal / Book Title: | Nature Communications |
Volume: | 14 |
Copyright Statement: | © The Author(s) 2023 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Publication Status: | Published |
Article Number: | 3517 |
Online Publication Date: | 2023-06-14 |
Appears in Collections: | School of Public Health |
This item is licensed under a Creative Commons License