PCR Techniques
19.2.1 Conventional PCR
Early methods for MAP detection by PCR utilized conventional PCR (Stevenson and Sharp, 1997). In conventional PCR methods, amplification of the final DNA product only is assessed following the completion of the cycles of DNA amplification (Lorenz, 2012).
This can involve gel electrophoresis or a capillary-based analytical method (Yokoyama et al., 2006). Conventional PCR techniques, involving either single or nested amplification of MAP target regions, have been phased out in many countries in preference of qPCR assays.The challenge with conventional PCR assays is the reduced analytical sensitivity compared with qPCR (Zemtsova et al., 2015; Xia et al., 2018). Nested PCR, though more sensitive, carries with it a high risk of crosscontamination due to the additional manipulation post-primary amplification. However, these methods are still applied in some settings, such as MAP detection in tissues from patients with Crohn's disease (Sharp et al., 2018; Zarei- Kordshouli et al., 2019). Strain typing assays still commonly use conventional PCR for IS 1311 and restriction enzyme digest to identify single nucleotide polymorphisms common to the differing strains (Marsh et al., 1999; Park et al., 2018; de Albuquerque et al., 2018).
19.2.2 Real-time/Quantitative PCR
In qPCR, DNA amplification is monitored in ‘real time' during the PCR cycling by the collection of fluorescent signal data associated with the amplified product. qPCR instruments measure florescence after each cycle, with multiple fluorescent molecules and detection channels available allowing for evaluation of multiple concurrent targets (multiplex). The point at which the amplification curve crosses a definable threshold (usually set in the lower section just after the amplification curve exceeds background fluorescence levels) is called the quantification cycle value (Cq, also referred to as Ct) and is related to the initial copy number of the template DNA target.
A lower Cq value indicates a higher initial quantity of target DNA in the sample; with the inclusion of a standard curve, absolute quantification can be achieved. Two chemistries are available to generate fluorescence signals; base intercalating dyes (e.g. SYBR Green I) and hydrolysis probe assays (e.g. TaqMan), with each having its advantages and disadvantages. There are already excellent published reviews of qPCR assay principles (Kralik and Ricchi, 2017) and it is beyond the scope of this chapter to provide a full review of this technique.Application of qPCR for the detection of pathogens is now a routine diagnostic approach used in clinical and veterinary testing and is commonly used in paratuberculosis diagnostic testing (Alinovi et al., 2009; Park etal., 2014; Plain et al., 2014; Heuvelink et al., 2017; Arsenault et al., 2019). A broad range of assays have been developed for varying sample types (see Section 19.5) with many commercial kits now also available (see Commercial Diagnostic Kits).
One of the main differences between the different qPCR assays is the gene target and hence the primers used in the assay. Multiplex qPCR assays amplify multiple gene target-specific sequences through the inclusion and optimization of multiple primer pairs in the same reaction mix. There are a number of multiplex assays that have been developed for the detection of MAP sequences, often combined with an internal amplification control (Irenge et al., 2009; Schonenbrucher et al., 2008; Sevilla et al., 2014). These offer the potential for increased specificity by targeting more than one gene from MAP.
19.2.3 Droplet digital PCR
While real-time PCR has improved timeliness and sensitivity of molecular diagnostic approaches to detect MAP, the increased sensitivity has come with its own problems. In closing the gap on detection of diseases with very low infectious doses or where subclinical forms of the disease exist, such as paucibacillary forms of mycobacterial infections, eliminating sample inhibition and ensuring sufficient target DNA makes it into the PCR reaction has become the limiting factor.
Droplet Digital PCR (ddPCR) is becoming the new ‘go to' technology to reduce and/or overcome PCR inhibition and respond to the most critical need, overcoming the normal distribution of target DNA more commonly associated with advanced disease, compared with a Poisson distribution in cases where very few numbers of organisms exit. Essentially, ddPCR distributes the sample into a large number of replicates following the Poisson distribution in a cost-effective manner, such that the likelihood of identifying low target copy numbers is markedly improved (Majumdar et al., 2017). This process simultaneously reduces the effect of inhibitory substances.Review papers are now appearing in the scientific literature discussing the merits of ddPCR for the detection of infectious diseases (Kuypers and Jerome, 2017; Li etal., 2018) in comparison with qPCR; the advantages and disadvantages are typically described as shown in Table 19.1.
The major limitation to the introduction of ddPCR at present is the number of instrument models currently available and the cost of these instruments. This most likely explains the limited use of ddPCR in assays to diagnose paratuberculosis; however, Ricchi et al. (2017) have successfully demonstrated the use of ddPCR for the detection of MAP DNA. To date, ddPCR has most frequently being reported in the mycobacterial field for the diagnosis of tuberculosis (Pholwat et al., 2013; Devonshire et al., 2016; Ushio et al., 2016; Yang et al., 2017; Song et al., 2018; Yamamoto et al., 2018a; Nyaruaba et al., 2019) but more recently this has extended to leprosy. Cheng et al. (2019) reported superior detection of paucibacillary cases of leprosy in skin biopsies using ddPCR over qPCR with sensitivities of 79.5% compared with 36.4%, respectively.
The approval by the US Food and Drug Administration of the first ddPCR-based test in 2019, monitoring the treatment of chronic myeloid in leukaemia patients (https://www.fda.gov/ medical-devices/vitro-diagnostics/nucleic-acid- based-tests), suggests we can expect to see ongoing acceptance and expansion of this technology for other applications already utilizing qPCR, including those for pathogens of animals and humans.
While ddPCR has yet to impact significantly in terms of new diagnostic tests, interest from researchers is sufficient to prompt a modified version of the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines specifically for ddPCR (Huggett et al., 2013). As with all new technologies, theTable 19.1. Advantages and disadvantages of Droplet Digital PCR (ddPCR) vs quantitative PCR (qPCR) (adapted from Kuypers and Jerome, 2017).
| Advantage | Disadvantage |
| Absolute quantification, no standard curve Improved interlaboratory commutability Less affected by sample inhibitors Less affected by poor amplification efficiency More precise Better detection of low-copy-number variants | Limited reaction mixture volume Smaller dynamic range Molecular dropout Less accurate quantification of larger amplicons Lower throughput Limited multiplexing exacerbated if assay requires internal control More expensive instrumentation and reagents Higher risk for contamination More complex to perform |
availability of more ddPCR platforms will increase and the cost will come down; as this happens, the use of ddPCR in the diagnosis of paratuberculosis will undoubtedly escalate.
19.2.4 Viable MAP detection
A growing concern with molecular diagnosis of bacterial pathogens is the question, Are they alive?'. PCR-based diagnostics that produce late or high cycling threshold values are often considered to be associated with low numbers of bacteria, more commonly characteristic of subclinical or paucibacillary forms of disease. However, with diseases caused by mycobacteria, this is in itself to be expected. However, if the bacteria are not alive, how can they cause disease? Traditional culture has been undertaken to confirm suspect or index cases, but this is expensive and protracted. A number of alternative approaches have been developed to address this (Emerson et al., 2017).
Most recently, phage-based assays have been integrated into research studies to detect viable MAP (Botsaris et al., 2016). However, such assays introduce their own logistical issues for the laboratory, especially in a diagnostic context, partly due to the risk of the bacteriophage contaminating routine mycobacterial cultures.Another alternative is intercalating dyebased PCR assays, where DNA from dead cells is rendered ineffective for amplification. Two dyes are commonly used: propidium monoazide (PMA) and ethidium monoazide (EMA) (Emerson et al., 2017). In both cases, compromised (dead) cells allow the dye to enter the cell and intercalate into the DNA, thus blocking subsequent amplification, whereas intact cells do not and therefore the DNA is able to be amplified in PCR. As a result, positive PCR results are considered to be only from viable bacteria. PMA-based assays have been described for paratuberculosis, primarily as a research tool for MAP detection in various sample types (Pribylova et al., 2012; Dalton and Hill, 2013; Ricchi etal., 2014; Kralik et al., 2010, 2014a, 2018), but have yet to be adopted more broadly. Unfortunately, these assays contribute complexity to an already complex situation. Removing non-viable bacteria from a diagnostic PCR assay, where low target numbers are anticipated, will no doubt limit detection. This might explain the paucity of these types of assays, but this issue may be overcome with the advent of ddPCR, as previously discussed. This appears to be consistent with the use of PMA-based PCR for the detection of M. tuberculosis (Mbelele et al., 2018).
19.3
More on the topic PCR Techniques:
- Choice of Target Genes for PCR
- Application and Interpretation of Findings From PCR-Based Diagnostic Tests
- Quality Control of PCR-Based Diagnostic Assays
- Diagnosis of Paratuberculosis by PCR
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