Competitiveness of Quantitative Polymerase Chain Reaction (qPCR) and Droplet Digital Polymerase Chain Reaction (ddPCR) Technologies, with a Particular Focus on Detection of Antibiotic Resistance Genes (ARGs)
Competitiveness of Quantitative Polymerase Chain Reaction (qPCR) and Droplet Digital Polymerase Chain Reaction (ddPCR) Technologies, with a Particular Focus on Detection of Antibiotic Resistance Genes (ARGs)
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DOI：
10.3390/applmicrobiol1030028
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发表时间：
2021-10
期刊：
影响因子：
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通讯作者：
Sol Park;A. Rana;Way Sung;M. Munir
中科院分区：
文献类型：
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作者：
Sol Park;A. Rana;Way Sung;M. Munir
随着快速发展的聚合酶链反应（PCR）技术和各种应用方法，该技术使科学和医学领域受益。虽然每种技术都有优势和局限性，但比较PCR技术的效率和特异性的研究并不多。本综述的目的是总结大量关于PCR技术的零散信息，重点关注两种主要使用的技术：qPCR（定量聚合酶链反应）和ddPCR（液滴数字聚合酶链反应）。在这里，我们分析和比较了两种方法的（1）效率，（2）不同学科和基因靶点下的检测范围和局限性，（3）优化，以及（4）抗生素耐药基因（ARG）分析的状态。已确定检测限和定量限的范围因PCR方法和样品类型而异。靶基因分析的仔细优化对于建立qPCR和ddPCR的稳健分析至关重要。在我们这个基因突变可能导致病毒性传染病大流行或抗生素耐药性引起的健康威胁的时代，这项研究希望为细致的检测，定量和分析制定指导方针，以帮助未来预防和保护全球健康，经济和生态系统。
With fast-growing polymerase chain reaction (PCR) technologies and various application methods, the technique has benefited science and medical fields. While having strengths and limitations on each technology, there are not many studies comparing the efficiency and specificity of PCR technologies. The objective of this review is to summarize a large amount of scattered information on PCR technologies focused on the two majorly used technologies: qPCR (quantitative polymerase chain reaction) and ddPCR (droplet-digital polymerase chain reaction). Here we analyze and compare the two methods for (1) efficiency, (2) range of detection and limitations under different disciplines and gene targets, (3) optimization, and (4) status on antibiotic resistance genes (ARGs) analysis. It has been identified that the range of detection and quantification limit varies depending on the PCR method and the type of sample. Careful optimization of target gene analysis is essential for building robust analysis for both qPCR and ddPCR. In our era where mutation of genes may lead to a pandemic of viral infectious disease or antibiotic resistance-induced health threats, this study hopes to set guidelines for meticulous detection, quantification, and analysis to help future prevention and protection of global health, the economy, and ecosystems.