Literature DB >> 33623060

Simultaneous absolute quantification and sequencing of fish environmental DNA in a mesocosm by quantitative sequencing technique.

Tatsuhiko Hoshino1, Ryohei Nakao2,3, Hideyuki Doi4, Toshifumi Minamoto3.   

Abstract

The combination of high-throughput sequencing technology and environmental DNA (eDNA) analysis has the potential to be a powerful tool for comprehensive, non-invasive monitoring of species in the environment. To understand the correlation between the abundance of eDNA and that of species in natural environments, we have to obtain quantitative eDNA data, usually via individual assays for each species. The recently developed quantitative sequencing (qSeq) technique enables simultaneous phylogenetic identification and quantification of individual species by counting random tags added to the 5' end of the target sequence during the first DNA synthesis. Here, we applied qSeq to eDNA analysis to test its effectiveness in biodiversity monitoring. eDNA was extracted from water samples taken over 4 days from aquaria containing five fish species (Hemigrammocypris neglectus, Candidia temminckii, Oryzias latipes, Rhinogobius flumineus, and Misgurnus anguillicaudatus), and quantified by qSeq and microfluidic digital PCR (dPCR) using a TaqMan probe. The eDNA abundance quantified by qSeq was consistent with that quantified by dPCR for each fish species at each sampling time. The correlation coefficients between qSeq and dPCR were 0.643, 0.859, and 0.786 for H. neglectusO. latipes, and M. anguillicaudatus, respectively, indicating that qSeq accurately quantifies fish eDNA.

Entities:  

Year:  2021        PMID: 33623060      PMCID: PMC7902826          DOI: 10.1038/s41598-021-83318-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  23 in total

1.  Amplification efficiency of thermostable DNA polymerases.

Authors:  Bahram Arezi; Weimei Xing; Joseph A Sorge; Holly H Hogrefe
Journal:  Anal Biochem       Date:  2003-10-15       Impact factor: 3.365

Review 2.  Bivariate line-fitting methods for allometry.

Authors:  David I Warton; Ian J Wright; Daniel S Falster; Mark Westoby
Journal:  Biol Rev Camb Philos Soc       Date:  2006-03-30

3.  Effect of primer mismatch, annealing temperature and PCR cycle number on 16S rRNA gene-targetting bacterial community analysis.

Authors:  Rita Sipos; Anna J Székely; Márton Palatinszky; Sára Révész; Károly Márialigeti; Marcell Nikolausz
Journal:  FEMS Microbiol Ecol       Date:  2007-03-02       Impact factor: 4.194

4.  Performance comparison of Illumina and ion torrent next-generation sequencing platforms for 16S rRNA-based bacterial community profiling.

Authors:  Stephen J Salipante; Toana Kawashima; Christopher Rosenthal; Daniel R Hoogestraat; Lisa A Cummings; Dhruba J Sengupta; Timothy T Harkins; Brad T Cookson; Noah G Hoffman
Journal:  Appl Environ Microbiol       Date:  2014-09-26       Impact factor: 4.792

5.  Quantification of Environmental DNA (eDNA) Shedding and Decay Rates for Three Marine Fish.

Authors:  Lauren M Sassoubre; Kevan M Yamahara; Luke D Gardner; Barbara A Block; Alexandria B Boehm
Journal:  Environ Sci Technol       Date:  2016-09-15       Impact factor: 9.028

Review 6.  Environmental DNA metabarcoding: Transforming how we survey animal and plant communities.

Authors:  Kristy Deiner; Holly M Bik; Elvira Mächler; Mathew Seymour; Anaïs Lacoursière-Roussel; Florian Altermatt; Simon Creer; Iliana Bista; David M Lodge; Natasha de Vere; Michael E Pfrender; Louis Bernatchez
Journal:  Mol Ecol       Date:  2017-10-26       Impact factor: 6.185

7.  Molecular quantification of environmental DNA using microfluidics and digital PCR.

Authors:  Tatsuhiko Hoshino; Fumio Inagaki
Journal:  Syst Appl Microbiol       Date:  2012-07-27       Impact factor: 4.022

Review 8.  Environmental conditions influence eDNA persistence in aquatic systems.

Authors:  Matthew A Barnes; Cameron R Turner; Christopher L Jerde; Mark A Renshaw; W Lindsay Chadderton; David M Lodge
Journal:  Environ Sci Technol       Date:  2014-01-21       Impact factor: 9.028

9.  Use of droplet digital PCR for estimation of fish abundance and biomass in environmental DNA surveys.

Authors:  Hideyuki Doi; Kimiko Uchii; Teruhiko Takahara; Saeko Matsuhashi; Hiroki Yamanaka; Toshifumi Minamoto
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

10.  Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data.

Authors:  J M Ruijter; C Ramakers; W M H Hoogaars; Y Karlen; O Bakker; M J B van den Hoff; A F M Moorman
Journal:  Nucleic Acids Res       Date:  2009-02-22       Impact factor: 16.971

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  3 in total

1.  Comparison of species-specific qPCR and metabarcoding methods to detect small pelagic fish distribution from open ocean environmental DNA.

Authors:  Zeshu Yu; Shin-Ichi Ito; Marty Kwok-Shing Wong; Susumu Yoshizawa; Jun Inoue; Sachihiko Itoh; Ryuji Yukami; Kazuo Ishikawa; Chenying Guo; Minoru Ijichi; Susumu Hyodo
Journal:  PLoS One       Date:  2022-09-07       Impact factor: 3.752

Review 2.  Environmental DNA analysis for macro-organisms: species distribution and more.

Authors:  Toshifumi Minamoto
Journal:  DNA Res       Date:  2022-05-27       Impact factor: 4.477

3.  Quantitative assessment of multiple fish species around artificial reefs combining environmental DNA metabarcoding and acoustic survey.

Authors:  Masaaki Sato; Nariaki Inoue; Ryogen Nambu; Naoki Furuichi; Tomohito Imaizumi; Masayuki Ushio
Journal:  Sci Rep       Date:  2021-09-30       Impact factor: 4.379

  3 in total

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