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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.
Affiliation
  • Liu YY; Department of Public Health, China Medical University, Taichung, Taiwan.
  • Chen CC; Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.
  • Yang CH; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
  • Hsieh HY; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
  • He JX; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
  • Lin HH; Department of Public Health, China Medical University, Taichung, Taiwan.
  • Lee CC; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan.
PLoS One ; 17(5): e0267972, 2022.
Article in En | MEDLINE | ID: mdl-35533187
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Listeriosis / Listeria monocytogenes Type of study: Screening_studies Limits: Female / Humans / Pregnancy Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: Taiwan Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Listeriosis / Listeria monocytogenes Type of study: Screening_studies Limits: Female / Humans / Pregnancy Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: Taiwan Country of publication: United States