論文

査読有り 筆頭著者
2018年6月

Real-time multiplex PCR for simultaneous detection of multiple species from environmental DNA: an application on two Japanese medaka species

SCIENTIFIC REPORTS
  • Satsuki Tsuji
  • ,
  • Yuka Iguchi
  • ,
  • Naoki Shibata
  • ,
  • Iori Teramura
  • ,
  • Tadao Kitagawa
  • ,
  • Hiroki Yamanaka

8
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/s41598-018-27434-w
出版者・発行元
NATURE PUBLISHING GROUP

Information about species distribution is crucial to ecological studies. Environmental DNA (eDNA) analysis has recently been used to estimate the distribution of aquatic organisms. Several analytical methods including metabarcoding and species-specific PCR are being used for eDNA analysis. However, when only a few species are targeted, metabarcoding is not cost-effective because of the wasted consumption of read due to amplification of non-target species DNA. On the other hand, speciesspecific PCR requires tests to be repeated multiple times resulting in consuming more DNA templates, and experimental consumables. Here we propose a methodological framework for simultaneously detecting a few species using real-time multiplex PCR. We developed the species-specific primer-probe sets for two species of Japanese medaka (Oryzias latipes and o. sakaizumii), and we used them in the real-time multiplex PCR. In aquarium experiment, even when the species abundances were biased, both species were simultaneously detected in all samples. In a field survey, eDNA analysis and capture survey produced consistent results in all sampling sites, including sites with low fish densities. eDNA analysis using real-time multiplex PCR can be easily applied to other aquatic organisms, enabling a more cost-effective distribution survey of multiple target organisms.

リンク情報
DOI
https://doi.org/10.1038/s41598-018-27434-w
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000435338100053&DestApp=WOS_CPL
ID情報
  • DOI : 10.1038/s41598-018-27434-w
  • ISSN : 2045-2322
  • Web of Science ID : WOS:000435338100053

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