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https://hdl.handle.net/20.500.14094/90005941
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2024-05-04
16:06 集計
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90005941 (fulltext)
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90005941
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open access
出版タイプ
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タイトル
Environmental DNA metabarcoding to detect pathogenic Leptospira and associated organisms in leptospirosis-endemic areas of Japan
著者
Sato, Yukuto ; Mizuyama, Masaru ; Sato, Megumi ; Minamoto, Toshifumi ; Kimura, Ryosuke ; Toma, Claudia
著者名
Sato, Yukuto
著者名
Mizuyama, Masaru
著者名
Sato, Megumi
著者ID
A0574
研究者ID
1000050450656
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/search/detail?systemId=481adea9a93d8196520e17560c007669
著者名
Minamoto, Toshifumi
源, 利文
ミナモト, トシフミ
所属機関名
人間発達環境学研究科
著者名
Kimura, Ryosuke
著者名
Toma, Claudia
収録物名
Scientific Reports
巻(号)
9
ページ
6575-6575
出版者
Nature Research
刊行日
2019-04-25
公開日
2019-05-10
抄録
Leptospires, which cause the zoonotic disease leptospirosis, persist in soil and aqueous environments. Several factors, including rainfall, the presence of reservoir animals, and various abiotic and biotic components interact to influence leptospiral survival, persistence, and pathogenicity in the environment. However, how these factors modulate the risk of infection is poorly understood. Here we developed an approach using environmental DNA (eDNA) metabarcoding for detecting the microbiome, vertebrates, and pathogenic Leptospira in aquatic samples. Specifically, we combined 4 sets of primers to generate PCR products for high-throughput sequencing of multiple amplicons through next-generation sequencing. Using our method to analyze the eDNA of leptospirosis-endemic areas in northern Okinawa, Japan, we found that the microbiota in each river shifted over time. Operating taxonomic units corresponding to pathogenic L. alstonii, L. kmetyi, and L. interrogans were detected in association with 12 nonpathogenic bacterial species. In addition, the frequencies of 11 of these species correlated with the amount of rainfall. Furthermore, 10 vertebrate species, including Sus scrofa, Pteropus dasymallus, and Cynops ensicauda, showed high correlation with leptospiral eDNA detection. Our eDNA metabarcoding method is a powerful tool for understanding the environmental phase of Leptospira and predicting human infection risk.
カテゴリ
人間発達環境学研究科
学術雑誌論文
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© The Author(s) 2019.
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/.
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資源タイプ
journal article
言語
English (英語)
eISSN
2045-2322
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関連情報
DOI
https://doi.org/10.1038/s41598-019-42978-1
URI
http://www.kobe-u.ac.jp/research_at_kobe/NEWS/news/2019_04_25_01.html
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