开发一种多重液滴数字 PCR 分析法,用于同时检测和定量水样中的大肠杆菌、旱獭大肠杆菌和鲁伊夏大肠杆菌。

IF 1.7 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS
Marie Moinet , Rose M. Collis , Lynn Rogers , Megan L. Devane , Patrick J. Biggs , Rebecca Stott , Jonathan Marshall , Richard Muirhead , Adrian L. Cookson
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引用次数: 0

摘要

大肠埃希氏菌被水质管理者广泛用作粪便指示菌,但目前的定量方法无法将它们与环境中的良性埃希氏菌物种区分开来,如 E. marmotae(原名隐性支系 V)或 E. ruysiae(隐性支系 III 和 IV)。需要采用可靠而特异的技术来鉴定它们,以避免影响微生物水质评估。为此,我们设计了一种针对 lipB(大肠杆菌和 E. ruysiae)和 bglC(E. marmotae)的多重液滴数字 PCR(ddPCR)检测方法。ddPCR 性能的评估采用的方法包括:硅分析;来自 40 个本地、国际和参考菌株的目标大肠菌群和非目标大肠菌群的基因组 DNA;以及与水质管理人员相关的加标水样(1 至 1000 cells/100 mL)。结果与类似的定量 PCR(qPCR)和 Colilert 方法进行了比较。两种 PCR 检测方法都显示出极佳的灵敏度,ddPCR 和 qPCR 的检测限分别为 0.05 pg/μL 和 0.005 pg/μL,基因组 DNA 的定量限为 0.5 pg/μL。ddPCR 每次运行可通过振幅复用对三种埃希氏菌进行区分和定量,并在考虑比例偏差后与 Colilert 测定的浓度高度一致。硅特异性测试强调了进一步检测和区分埃希氏菌隐性支系 VI 的可能性。最后,ddPCR 的适用性在环境水样中进行了成功的测试,在环境水样中,根据最可能数法,E. marmotae 和 E. ruysiae 可能会混淆大肠杆菌的计数,这突出表明了这种新型 ddPCR 作为一种高效、快速的鉴别检测方法在改善水质评估方面的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of a multiplex droplet digital PCR assay for simultaneous detection and quantification of Escherichia coli, E. marmotae, and E. ruysiae in water samples

Development of a multiplex droplet digital PCR assay for simultaneous detection and quantification of Escherichia coli, E. marmotae, and E. ruysiae in water samples

Escherichia coli are widely used by water quality managers as Fecal Indicator Bacteria, but current quantification methods do not differentiate them from benign, environmental Escherichia species such as E. marmotae (formerly named cryptic clade V) or E. ruysiae (cryptic clades III and IV). Reliable and specific techniques for their identification are required to avoid confounding microbial water quality assessments. To address this, a multiplex droplet digital PCR (ddPCR) assay targeting lipB (E. coli and E. ruysiae) and bglC (E. marmotae) was designed. The ddPCR performance was assessed using in silico analysis; genomic DNA from 40 local, international, and reference strains of target and non-target coliforms; and spiked water samples in a range relevant to water quality managers (1 to 1000 cells/100 mL). Results were compared to an analogous quantitative PCR (qPCR) and the Colilert method. Both PCR assays showed excellent sensitivity with a limit of detection of 0.05 pg/μL and 0.005 pg/μl for ddPCR and qPCR respectively, and of quantification of 0.5 pg/μL of genomic DNA. The ddPCR allowed differentiation and quantification of three Escherichia species per run by amplitude multiplexing and showed a high concordance with concentrations measured by Colilert once proportional bias was accounted for. In silico specificity testing underlined the possibility to further detect and distinguish Escherichia cryptic clade VI. Finally, the applicability of the ddPCR was successfully tested on environmental water samples where E. marmotae and E. ruysiae potentially confound E. coli counts based on the Most Probable Number method, highlighting the utility of this novel ddPCR as an efficient and rapid discriminatory test to improve water quality assessments.

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来源期刊
Journal of microbiological methods
Journal of microbiological methods 生物-生化研究方法
CiteScore
4.30
自引率
4.50%
发文量
151
审稿时长
29 days
期刊介绍: The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach. All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.
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