Prevalence and genetic distribution of <i>Legionella</i> spp. in public bath facilities in Kobe City, Japan
-
- Shinobu Tanaka
- 1 Department of Infectious Diseases, Kobe Institute of Health, Kobe, Japan
-
- Shoko Komatsu
- 1 Department of Infectious Diseases, Kobe Institute of Health, Kobe, Japan
-
- Noriko Nakanishi
- 1 Department of Infectious Diseases, Kobe Institute of Health, Kobe, Japan
書誌事項
- 公開日
- 2023-10-26
- 資源種別
- journal article
- 権利情報
-
- http://creativecommons.org/licenses/by/4.0/
- DOI
-
- 10.2166/wh.2023.247
- 公開者
- IWA Publishing
この論文をさがす
説明
<jats:title>Abstract</jats:title> <jats:p>Legionella is an important waterborne pathogen that causes legionellosis. Public baths are considered the primary cause of legionellosis infection in Japan. We investigated the prevalence and genetic distribution of 338 Legionella spp. isolates from 81 public bath facilities, including 35 hot springs and 46 other facilities, through annual periodic surveillance in Kobe, Japan, from 2016 to 2021. In addition, the genotypes of nine clinical strains of unknown infectious source from the same period were compared to those of bathwater isolates. We elucidated the differences in the distribution of Legionella species, serogroups, and genotypes between hot springs and other public baths. Legionella israelensis, L. londiniensis, and L. micdadei colonized hot springs along with L. pneumophila. The minimum spanning tree analysis based on multiple-locus variable number tandem repeat analysis (MLVA) also identified four major clonal complexes (CCs) in L. pneumophila SG1 and found that CC1 of the four CCs is a specific novel genotype with the lag-1 gene in hot springs. The same MLVA genotypes and sequence types as those of the clinical strains were not present among the strains isolated from bath water. Thus, our surveillance is useful for estimating the sources of legionellosis infection in Japan and developing prevention strategies.</jats:p>
収録刊行物
-
- Journal of Water and Health
-
Journal of Water and Health 21 (11), 1727-1734, 2023-10-26
IWA Publishing
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1360021390563608064
-
- ISSN
- 19967829
- 14778920
-
- 資料種別
- journal article
-
- データソース種別
-
- Crossref
- KAKEN
