Canadian Grain Commission, Grain Research Laboratory, 1404-303 Main Street, Winnipeg, MB, R3C3G8, Canada.
Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia.
Anal Bioanal Chem. 2018 Jul;410(17):4039-4050. doi: 10.1007/s00216-018-1010-1. Epub 2018 Mar 24.
The number of genetically modified organisms (GMOs) on the market is steadily increasing. Because of regulation of cultivation and trade of GMOs in several countries, there is pressure for their accurate detection and quantification. Today, DNA-based approaches are more popular for this purpose than protein-based methods, and real-time quantitative PCR (qPCR) is still the gold standard in GMO analytics. However, digital PCR (dPCR) offers several advantages over qPCR, making this new technique appealing also for GMO analysis. This critical review focuses on the use of dPCR for the purpose of GMO quantification and addresses parameters which are important for achieving accurate and reliable results, such as the quality and purity of DNA and reaction optimization. Three critical factors are explored and discussed in more depth: correct classification of partitions as positive, correctly determined partition volume, and dilution factor. This review could serve as a guide for all laboratories implementing dPCR. Most of the parameters discussed are applicable to fields other than purely GMO testing. Graphical abstract There are generally three different options for absolute quantification of genetically modified organisms (GMOs) using digital PCR: droplet- or chamber-based and droplets in chambers. All have in common the distribution of reaction mixture into several partitions, which are all subjected to PCR and scored at the end-point as positive or negative. Based on these results GMO content can be calculated.
市场上转基因生物(GMO)的数量正在稳步增加。由于几个国家对 GMO 的种植和贸易进行了监管,因此对其进行准确检测和定量的压力也越来越大。如今,基于 DNA 的方法比基于蛋白质的方法更受欢迎,实时定量 PCR(qPCR)仍然是 GMO 分析的金标准。然而,数字 PCR(dPCR)相对于 qPCR 具有多个优势,因此这项新技术也吸引了 GMO 分析。本文批判性地综述了 dPCR 在 GMO 定量中的应用,并介绍了实现准确可靠结果的重要参数,如 DNA 的质量和纯度以及反应优化。本文深入探讨并讨论了三个关键因素:正确分类为阳性的分区、正确确定分区体积和稀释因子。本综述可作为所有实施 dPCR 的实验室的指南。本文讨论的大多数参数都适用于除纯粹的 GMO 检测以外的领域。