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LmTraceMap: A Listeria monocytogenes fast-tracing platform for global surveillance

  • Yen Yi Liu
  • , Chih Chieh Chen
  • , Chien Hua Yang
  • , Hui Yi Hsieh
  • , Jia Xin He
  • , Hao Hsuan Lin
  • , Chi Ching Lee*
  • *此作品的通信作者
  • China Medical University Taichung
  • National Sun Yat-sen University
  • Chang Gung University

研究成果: 期刊稿件文章同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
文章編號e0267972
期刊PLoS ONE
17
發行號5 May
DOIs
出版狀態已出版 - 05 2022

文獻附註

Publisher Copyright:
Copyright: © 2022 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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