Literature DB >> 25850372

Droplet digital polymerase chain reaction (PCR) outperforms real-time PCR in the detection of environmental DNA from an invasive fish species.

Hideyuki Doi1, Teruhiko Takahara2, Toshifumi Minamoto3, Saeko Matsuhashi1, Kimiko Uchii4, Hiroki Yamanaka5.   

Abstract

Environmental DNA (eDNA) has been used to investigate species distributions in aquatic ecosystems. Most of these studies use real-time polymerase chain reaction (PCR) to detect eDNA in water; however, PCR amplification is often inhibited by the presence of organic and inorganic matter. In droplet digital PCR (ddPCR), the sample is partitioned into thousands of nanoliter droplets, and PCR inhibition may be reduced by the detection of the end-point of PCR amplification in each droplet, independent of the amplification efficiency. In addition, real-time PCR reagents can affect PCR amplification and consequently alter detection rates. We compared the effectiveness of ddPCR and real-time PCR using two different PCR reagents for the detection of the eDNA from invasive bluegill sunfish, Lepomis macrochirus, in ponds. We found that ddPCR had higher detection rates of bluegill eDNA in pond water than real-time PCR with either of the PCR reagents, especially at low DNA concentrations. Limits of DNA detection, which were tested by spiking the bluegill DNA to DNA extracts from the ponds containing natural inhibitors, found that ddPCR had higher detection rate than real-time PCR. Our results suggest that ddPCR is more resistant to the presence of PCR inhibitors in field samples than real-time PCR. Thus, ddPCR outperforms real-time PCR methods for detecting eDNA to document species distributions in natural habitats, especially in habitats with high concentrations of PCR inhibitors.

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Year:  2015        PMID: 25850372     DOI: 10.1021/acs.est.5b00253

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  32 in total

1.  Comparison of the Amplification Refractory Mutation System, Super Amplification Refractory Mutation System, and Droplet Digital PCR for T790 M Mutation Detection in Non-small Cell Lung Cancer after Failure of Tyrosine Kinase Inhibitor Treatment.

Authors:  Lucheng Zhu; Shirong Zhang; Yanping Xun; Yanping Jiang; Bing Xia; Xueqin Chen; Limin Wang; Hong Jiang; Shenglin Ma
Journal:  Pathol Oncol Res       Date:  2017-09-03       Impact factor: 3.201

2.  Expression of AR-V7 and ARv567es in Circulating Tumor Cells Correlates with Outcomes to Taxane Therapy in Men with Metastatic Prostate Cancer Treated in TAXYNERGY.

Authors:  Scott T Tagawa; Emmanuel S Antonarakis; Ada Gjyrezi; Giuseppe Galletti; Seaho Kim; Daniel Worroll; John Stewart; Atef Zaher; Ted P Szatrowski; Karla V Ballman; Katsuhiro Kita; Shinsuke Tasaki; Yang Bai; Luigi Portella; Brian J Kirby; Fred Saad; Mario A Eisenberger; David M Nanus; Paraskevi Giannakakou
Journal:  Clin Cancer Res       Date:  2018-10-09       Impact factor: 12.531

3.  Accurate detection and quantification of seasonal abundance of American bullfrog (Lithobates catesbeianus) using ddPCR eDNA assays.

Authors:  Teun Everts; David Halfmaerten; Sabrina Neyrinck; Nico De Regge; Hans Jacquemyn; Rein Brys
Journal:  Sci Rep       Date:  2021-05-28       Impact factor: 4.379

4.  Evaluation of the Environmental DNA Method for Estimating Distribution and Biomass of Submerged Aquatic Plants.

Authors:  Saeko Matsuhashi; Hideyuki Doi; Ayaka Fujiwara; Sonoko Watanabe; Toshifumi Minamoto
Journal:  PLoS One       Date:  2016-06-15       Impact factor: 3.240

5.  A comparison between quantitative PCR and droplet digital PCR technologies for circulating microRNA quantification in human lung cancer.

Authors:  Paola Campomenosi; Elisabetta Gini; Douglas M Noonan; Albino Poli; Paola D'Antona; Nicola Rotolo; Lorenzo Dominioni; Andrea Imperatori
Journal:  BMC Biotechnol       Date:  2016-08-18       Impact factor: 2.563

6.  A Circulating microRNA Signature Predicts Age-Based Development of Lymphoma.

Authors:  Afshin Beheshti; Charles Vanderburg; J Tyson McDonald; Charusheila Ramkumar; Tatenda Kadungure; Hong Zhang; Ronald B Gartenhaus; Andrew M Evens
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

7.  Detection of an endangered aquatic heteropteran using environmental DNA in a wetland ecosystem.

Authors:  Hideyuki Doi; Izumi Katano; Yusuke Sakata; Rio Souma; Toshihiro Kosuge; Mariko Nagano; Kousuke Ikeda; Koki Yano; Koji Tojo
Journal:  R Soc Open Sci       Date:  2017-07-19       Impact factor: 2.963

8.  Environmental DNA metabarcoding primers for freshwater fish detection and quantification: In silico and in tanks.

Authors:  Lu Shu; Arne Ludwig; Zuogang Peng
Journal:  Ecol Evol       Date:  2021-05-16       Impact factor: 2.912

9.  Comparison of Droplet Digital PCR and qPCR for the Quantification of Shiga Toxin-Producing Escherichia coli in Bovine Feces.

Authors:  Bavo Verhaegen; Koen De Reu; Lieven De Zutter; Karen Verstraete; Marc Heyndrickx; Els Van Coillie
Journal:  Toxins (Basel)       Date:  2016-05-18       Impact factor: 4.546

10.  Inference of genetic marker concentrations from field surveys to detect environmental DNA using Bayesian updating.

Authors:  Martin T Schultz
Journal:  PLoS One       Date:  2018-01-30       Impact factor: 3.240

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