Hunter Margaret E, Dorazio Robert M, Butterfield John S S, Meigs-Friend Gaia, Nico Leo G, Ferrante Jason A
U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, USA.
Mol Ecol Resour. 2017 Mar;17(2):221-229. doi: 10.1111/1755-0998.12619. Epub 2016 Nov 20.
A set of universal guidelines is needed to determine the limit of detection (LOD) in PCR-based analyses of low-concentration DNA. In particular, environmental DNA (eDNA) studies require sensitive and reliable methods to detect rare and cryptic species through shed genetic material in environmental samples. Current strategies for assessing detection limits of eDNA are either too stringent or subjective, possibly resulting in biased estimates of species' presence. Here, a conservative LOD analysis grounded in analytical chemistry is proposed to correct for overestimated DNA concentrations predominantly caused by the concentration plateau, a nonlinear relationship between expected and measured DNA concentrations. We have used statistical criteria to establish formal mathematical models for both quantitative and droplet digital PCR. To assess the method, a new Grass Carp (Ctenopharyngodon idella) TaqMan assay was developed and tested on both PCR platforms using eDNA in water samples. The LOD adjustment reduced Grass Carp occupancy and detection estimates while increasing uncertainty-indicating that caution needs to be applied to eDNA data without LOD correction. Compared to quantitative PCR, digital PCR had higher occurrence estimates due to increased sensitivity and dilution of inhibitors at low concentrations. Without accurate LOD correction, species occurrence and detection probabilities based on eDNA estimates are prone to a source of bias that cannot be reduced by an increase in sample size or PCR replicates. Other applications also could benefit from a standardized LOD such as GMO food analysis and forensic and clinical diagnostics.
在基于PCR的低浓度DNA分析中,需要一套通用指南来确定检测限(LOD)。特别是,环境DNA(eDNA)研究需要灵敏且可靠的方法,通过环境样本中脱落的遗传物质来检测稀有和隐秘物种。目前评估eDNA检测限的策略要么过于严格,要么主观,这可能导致对物种存在情况的估计产生偏差。在此,我们提出一种基于分析化学的保守LOD分析方法,以校正主要由浓度平台期(即预期DNA浓度与实测DNA浓度之间的非线性关系)导致的DNA浓度高估问题。我们已使用统计标准为定量PCR和数字PCR建立了正式的数学模型。为评估该方法,我们开发了一种新的草鱼(Ctenopharyngodon idella)TaqMan检测法,并在两个PCR平台上使用水样中的eDNA进行了测试。LOD调整降低了草鱼的占有率和检测估计值,同时增加了不确定性,这表明在未进行LOD校正的情况下,需要谨慎对待eDNA数据。与定量PCR相比