論文

査読有り 筆頭著者
2014年8月

Fecal Source Tracking in Water by Next-Generation Sequencing Technologies Using Host-Specific Escherichia coli Genetic Markers

Environmental Science & Technology
  • Ryota Gomi
  • ,
  • Tomonari Matsuda
  • ,
  • Yasuto Matsui
  • ,
  • Minoru Yoneda

48
16
開始ページ
9616
終了ページ
9623
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1021/es501944c
出版者・発行元
AMER CHEMICAL SOC

High levels of fecal bacteria are a concern for the aquatic environment, and identifying sources of those bacteria is important for mitigating fecal pollution and preventing waterborne disease. Escherichia coli has been used as an indicator of fecal pollution, however less success has been achieved using this organism for library-independent microbial source tracking. In this study, using next-generation sequencing technology we sequenced the whole genomes of 22 E. coli isolates from known sources (9 from humans, 2 from cows, 6 from pigs, and 5 from chickens) and identified candidate host-specific genomic regions. Specificity testing on the candidate regions was performed using 30 E. coli isolates from each source. Finally, we identified 4 human-, 2 cow-, 3 pig-, and 4 chicken-specific genetic markers useful for source tracking. We also found that a combination of multiplex PCR and dual index sequencing is effective for detecting multiple genetic markers in multiple isolates at one time. This technique was applied to investigating identified genetic markers in 549 E. coli isolates obtained from the Yamato River, Japan. Results indicate that humans constitute a major source of water contamination in the river. However, further work must include isolates obtained from geographically diverse animal hosts to make this method more reliable.

リンク情報
DOI
https://doi.org/10.1021/es501944c
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201402251693251634
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000340701800081&DestApp=WOS_CPL
ID情報
  • DOI : 10.1021/es501944c
  • ISSN : 0013-936X
  • eISSN : 1520-5851
  • J-Global ID : 201402251693251634
  • Web of Science ID : WOS:000340701800081

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