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LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance
Listeria monocytogenes can cause listeriosis, and people with hypoimmunity such as pregnant women, infants and fetuses are at high risk of invasive infection. Although the incidence of listeriosis is low, the fatality rate is high. Therefore, continual surveillance and rapid epidemiological investig...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084517/ https://www.ncbi.nlm.nih.gov/pubmed/35533187 http://dx.doi.org/10.1371/journal.pone.0267972 |
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author | Liu, Yen-Yi Chen, Chih-Chieh Yang, Chien-Hua Hsieh, Hui-Yi He, Jia-Xin Lin, Hao-Hsuan Lee, Chi-Ching |
author_facet | Liu, Yen-Yi Chen, Chih-Chieh Yang, Chien-Hua Hsieh, Hui-Yi He, Jia-Xin Lin, Hao-Hsuan Lee, Chi-Ching |
author_sort | Liu, Yen-Yi |
collection | PubMed |
description | Listeria monocytogenes can cause listeriosis, and people with hypoimmunity such as pregnant women, infants and fetuses are at high risk of invasive infection. Although the incidence of listeriosis is low, the fatality rate is high. Therefore, continual surveillance and rapid epidemiological investigation are crucial for addressing L. monocytogenes. Because of the popularity of next-generation sequencing, obtaining the whole-genome sequence of a bacterium is easy. Several genome-based typing methods are available, and core-genome multilocus sequence typing (cgMLST) is the most recognized methods. Using cgMLST typing to compare L. monocytogenes whole-genome sequences (WGS) with those obtained across distinct regions is beneficial. However, the concern is how to incorporate the powerful cgMLST method into investigations, such as by using source tracing. Herein, we present an easy-to-use web service called–LmTraceMap (http://lmtracemap.cgu.edu.tw/hua_map/test/upload.php; http://120.126.17.192/hua_map/test/upload.php) that can help public-health professionals rapidly trace closely related isolates worldwide and visually inspect them in search results on a world map with labeled epidemiological data. We expect the proposed service to improve the convenience of public health investigations. |
format | Online Article Text |
id | pubmed-9084517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90845172022-05-10 LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance Liu, Yen-Yi Chen, Chih-Chieh Yang, Chien-Hua Hsieh, Hui-Yi He, Jia-Xin Lin, Hao-Hsuan Lee, Chi-Ching PLoS One Research Article Listeria monocytogenes can cause listeriosis, and people with hypoimmunity such as pregnant women, infants and fetuses are at high risk of invasive infection. Although the incidence of listeriosis is low, the fatality rate is high. Therefore, continual surveillance and rapid epidemiological investigation are crucial for addressing L. monocytogenes. Because of the popularity of next-generation sequencing, obtaining the whole-genome sequence of a bacterium is easy. Several genome-based typing methods are available, and core-genome multilocus sequence typing (cgMLST) is the most recognized methods. Using cgMLST typing to compare L. monocytogenes whole-genome sequences (WGS) with those obtained across distinct regions is beneficial. However, the concern is how to incorporate the powerful cgMLST method into investigations, such as by using source tracing. Herein, we present an easy-to-use web service called–LmTraceMap (http://lmtracemap.cgu.edu.tw/hua_map/test/upload.php; http://120.126.17.192/hua_map/test/upload.php) that can help public-health professionals rapidly trace closely related isolates worldwide and visually inspect them in search results on a world map with labeled epidemiological data. We expect the proposed service to improve the convenience of public health investigations. Public Library of Science 2022-05-09 /pmc/articles/PMC9084517/ /pubmed/35533187 http://dx.doi.org/10.1371/journal.pone.0267972 Text en © 2022 Liu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Yen-Yi Chen, Chih-Chieh Yang, Chien-Hua Hsieh, Hui-Yi He, Jia-Xin Lin, Hao-Hsuan Lee, Chi-Ching LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance |
title | LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance |
title_full | LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance |
title_fullStr | LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance |
title_full_unstemmed | LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance |
title_short | LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance |
title_sort | lmtracemap: a listeria monocytogenes fast-tracing platform for global surveillance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084517/ https://www.ncbi.nlm.nih.gov/pubmed/35533187 http://dx.doi.org/10.1371/journal.pone.0267972 |
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