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Marine Genomics

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Attention for Chapter 7: The Next-Generation PCR-Based Quantification Method for Ambient Waters: Digital PCR
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Chapter title
The Next-Generation PCR-Based Quantification Method for Ambient Waters: Digital PCR
Chapter number 7
Book title
Marine Genomics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3774-5_7
Pubmed ID
Book ISBNs
978-1-4939-3772-1, 978-1-4939-3774-5
Authors

Yiping Cao, John F. Griffith, Stephen B. Weisberg

Editors

Sarah J. Bourlat

Abstract

Real-time quantitative PCR (qPCR) is increasingly being used for ambient water monitoring, but development of digital polymerase chain reaction (digital PCR) has the potential to further advance the use of molecular techniques in such applications. Digital PCR refines qPCR by partitioning the sample into thousands to millions of miniature reactions that are examined individually for binary endpoint results, with DNA density calculated from the fraction of positives using Poisson statistics. This direct quantification removes the need for standard curves, eliminating the labor and materials associated with creating and running standards with each batch, and removing biases associated with standard variability and mismatching amplification efficiency between standards and samples. Confining reactions and binary endpoint measurements to small partitions also leads to other performance advantages, including reduced susceptibility to inhibition, increased repeatability and reproducibility, and increased capacity to measure multiple targets in one analysis. As such, digital PCR is well suited for ambient water monitoring applications and is particularly advantageous as molecular methods move toward autonomous field application.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 14%
Student > Bachelor 6 14%
Student > Master 6 14%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 13 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Environmental Science 5 12%
Agricultural and Biological Sciences 3 7%
Engineering 3 7%
Chemical Engineering 2 5%
Other 2 5%
Unknown 17 40%