title: Improving PCR efficiency for accurate quantification of 16S rRNA genes.
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.
authors.affiliation: Petroleum Microbiology Research Group, University of Calgary, Department of Biological Sciences, Calgary, Alberta, T2N 1N4, Canada.
authors.forename: Cameron M
authors.initials: CM
authors.lastname: Callbeck
authors.forename: Angela
authors.initials: A
authors.lastname: Sherry
authors.forename: Casey R J
authors.initials: CR
authors.lastname: Hubert
authors.forename: Neil D
authors.initials: ND
authors.lastname: Gray
authors.forename: Gerrit
authors.initials: G
authors.lastname: Voordouw
authors.forename: Ian M
authors.initials: IM
authors.lastname: Head
mesh_terms: D001105:Archaea / Q000235:genetics*; D001419:Bacteria / Q000235:genetics*; D004783:Environmental Microbiology; D008828:Microbiological Techniques / Q000379:methods*; D012336:RNA, Ribosomal, 16S / Q000032:analysis / Q000235:genetics*; D060888:Real-Time Polymerase Chain Reaction / Q000379:methods*
chemical_list: D012336:RNA, Ribosomal, 16S