Literature DB >> 23524156

Improving PCR efficiency for accurate quantification of 16S rRNA genes.

Cameron M Callbeck1, Angela Sherry, Casey R J Hubert, Neil D Gray, Gerrit Voordouw, Ian M Head.   

Abstract

Quantitative real-time PCR is a valuable tool for microbial ecologists. To obtain accurate absolute quantification it is essential that PCR efficiency for pure standards is close to amplification efficiency for test samples. Counter to normal expectation that PCR efficiency might be lower in environmental DNA, due to the presence of PCR inhibitors, we report the counterintuitive observation that PCR efficiency of pure standards can be lower than for environmental DNA. This can lead to overestimation of gene abundances if not corrected. SYBR green-based qPCR assays of 16S rRNA genes targeting Bacteria, Syntrophus and Smithella spp., Marinobacter spp., Methanomicrobiales, Methanosarcinaceae, and Methanosaetaceae in samples from methanogenic crude oil biodegradation enrichments were tested. In five out of the six assays, PCR efficiency was lower with pure standards than with environmental DNA samples. We developed a solution to this problem based on amending pure clone standards with a background of non-target environmental 16S rRNA genes which significantly improved PCR efficiency of standards in the qPCR assays that exhibited this phenomenon. Overall this method of qPCR standard preparation achieved a more reliable and robust quantification of 16S rRNA genes. We believe this may be a potentially common issue in microbial ecology that often goes unreported, as intuitively one would not expect standards to have poorer PCR efficiency than samples.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23524156     DOI: 10.1016/j.mimet.2013.03.010

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  5 in total

1.  Anodes Stimulate Anaerobic Toluene Degradation via Sulfur Cycling in Marine Sediments.

Authors:  Matteo Daghio; Eleni Vaiopoulou; Sunil A Patil; Ana Suárez-Suárez; Ian M Head; Andrea Franzetti; Korneel Rabaey
Journal:  Appl Environ Microbiol       Date:  2015-10-23       Impact factor: 4.792

2.  Volatile hydrocarbons inhibit methanogenic crude oil degradation.

Authors:  Angela Sherry; Russell J Grant; Carolyn M Aitken; D Martin Jones; Ian M Head; Neil D Gray
Journal:  Front Microbiol       Date:  2014-04-03       Impact factor: 5.640

3.  Kinetic parameters for nutrient enhanced crude oil biodegradation in intertidal marine sediments.

Authors:  Arvind K Singh; Angela Sherry; Neil D Gray; D Martin Jones; Bernard F J Bowler; Ian M Head
Journal:  Front Microbiol       Date:  2014-04-11       Impact factor: 5.640

4.  Application of Stochastic Labeling with Random-Sequence Barcodes for Simultaneous Quantification and Sequencing of Environmental 16S rRNA Genes.

Authors:  Tatsuhiko Hoshino; Fumio Inagaki
Journal:  PLoS One       Date:  2017-01-04       Impact factor: 3.240

5.  Response of Deep Subsurface Microbial Community to Different Carbon Sources and Electron Acceptors during ∼2 months Incubation in Microcosms.

Authors:  Lotta Purkamo; Malin Bomberg; Mari Nyyssönen; Lasse Ahonen; Ilmo Kukkonen; Merja Itävaara
Journal:  Front Microbiol       Date:  2017-02-20       Impact factor: 5.640

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.