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Brief Report

Utilization of Microwaves: A Novel Approach to SARS-CoV-2 Genome Extraction

by
Marta Elena Álvarez-Argüelles
,
Susana Rojo-Alba
,
Gabriel Martín
*,
Zulema Pérez-Martínez
,
Cristian Castelló-Abietar
,
Jose Antonio Boga
and
Santiago Melón
Hospital Universitario Central de Asturias, Av. Roma, s/n, 33011 Oviedo, Spain
*
Author to whom correspondence should be addressed.
Appl. Microbiol. 2022, 2(4), 800-804; https://doi.org/10.3390/applmicrobiol2040060
Submission received: 30 September 2022 / Revised: 5 October 2022 / Accepted: 9 October 2022 / Published: 12 October 2022

Abstract

:
In this study, an innovative approach to the heat extraction method has been tested: the use of microwaves, which can dramatically decrease the time that is needed to do the genome extraction. The method can obtain the virus with enough quality to assure the identification by RT-qPCR and minimize procedures and contaminations.

1. Introduction

With the global SARS-CoV-2 pandemic, the need for quick and efficient techniques to process samples has become an aim for all the clinical laboratories around the world. Several methods such as heat extraction can be a clear alternative to improve the time that is taken for the procedure at the time of doing the genome extraction [1,2,3,4].
In this study, an innovative approach to the heat extraction has been tested: the use of microwaves, which can dramatically decrease the time that is needed to do the genome extraction. The method can obtain the virus with enough quality to assure the identification by q(RT)-PCR and minimize procedures and contaminations.

2. Material and Methods

To check this hypothesis, a set of 70 nasopharyngeal samples (1 mL), 45 of them obtained from patients that were previously confirmed as SARS-CoV-2 positive by de Microbiology Service of the Hospital Universitario Central de Asturias (being the rest negative), were extracted by five different methods: two of them using chaotropic reagents, and three based on heat extraction. Prior to each extraction procedure, the samples were correctly homogenized using a IKA Vortex3 (Sigma-Aldrich, St. Louis, MO, USA) for 30 s.
These samples were extracted in 5 batches of 14 samples (9 positives and 5 negatives in random positions) plus one positive control and one negative control for all the procedures.
The two methods that use reagents were automatic MagNa Pure 96 (Roche, Ginebra, Switzerland) taken as a reference, and the “Bikop” method that was developed in our laboratory previously [3]. Both procedures were carried with 200 µL of each sample, obtaining 100 µL of eluted product.
About the three methods that were based on heat extraction, one consisted just of a heat application at 98 °C for 10 min as the normal method. The second method was based on the addition of 25 μL of proteinase K (pK) to favor denaturalization before heat application; for this method, the heat application had two steps: first at 56 °C during 5 min followed by other at 98 °C for 10 min [5,6,7]. These two methods were performed in a SureCycler 8800 (Agilent Technologies, Santa Clara, CA, USA).
The last method of heat extraction was the use of microwaves. This method was performed on a microwave oven Schneider SMW205 (Schneider Electric, Llanera, Spain), during 1 min at 800 W and 2450 MHz of microwave frequency. For all these protocols, the heat application was followed by a cooling step on ice for 5 min. A volume of 100 µL of each sample was used for each of the heat extraction protocols.
All of the extracted samples were tested with a multiple RT-qPCR that was directed to two regions of the SARS-CoV 2 genome (Orf1ab and N gene). Briefly, 5 µL of sample, that was previously extracted by any of the tested methods, were added to 10 µL of TaqMan Fast 1-Step Master Mix (Life technologies, Carlsbad, CA, USA) that was supplemented with a mixture of primers (Thermo Fisher Scientific, Walthman, MA, USA) and TaqMan MGB probes (Applied Biosystems, Foster City, CA, USA) which were the same conditions as used in reference [3]. The amplification and subsequent analysis were carried out using the Applied Biosystems 7500 Real-time PCR System (Applied Biosystems). The cycling protocol was as follows: (50 °C, 20 min; 95 °C, 5 min; 45 cycles of 95 °C, 10 s; and 55 °C, 15 s and 60 °C, 30 s).

3. Results

These data (Figure 1) show that three protocols that were tested had over 95% sensitivity (100% for MP96 and 95.34% for the others). The microwaves method reached an 88.37% sensitivity. No negative sample was found positive for SARS-CoV-2. There were two of the positive samples that were tested that were found non-valuable.
After a T-Student analysis (α = 0.05), comparing each method with the reference method, significant p-values were obtained for the microwave method, specifically for total samples (0.04) and for samples over Ct 30 (0.02), meaning that these sensitivities were statistically different from those that were obtained on the reference method MP96.
The cycle threshold for each sample of each procedure and the statistical results, such as the sensitivity, of the total and broken down into less than and greater or equal to Ct 30 are shown in Table 1 and Table 2.

4. Discussion

Viral load, reflected as Ct, has an influence on these results. When a threshold was made in Ct, all the procedures that were analyzed were sensitive enough for samples which were amplified under 30 cycles, with results over 95% for every method. Over 30 Ct, or even more, over 32 Ct, a decrease in sensitivity happens, especially with the microwaves method.
As it has been published before by different authors, Ct values have an indirect association with viral load, so a high Ct value means a low viral load [8,9]. Knowing this, as the data show that the undetected positive samples correspond to high cycles (so low viral loads) that are not related to viral transmissibility [10], we can accept that, even when the microwave method sensitivity is 88.37%%, it is high enough to assure it use for SARS-CoV-2 detection.
About the statistically significant difference that was obtained for the total sensibility of the microwaves method, it is surely due to the lower sensitivity that was obtained on the Ct over 30 subgroup, so this group weighs the sensitivity of the total.
On the other hand, it is noted that manual methods have higher variance than the automatized reference methods, as the ranges of each sample are higher than in the MP96 method. Special care must be taken when manual methods are performed.
In conclusion, the results confirm that heat extraction can be implemented in a clinical laboratory as a fast method to get samples ready for q(RT)-PCR and offers earlier detection. The use of the microwaves method can be the fastest way of extraction when the number of samples exceeds the capacity of the laboratory to process them in time, especially when high incidence is noted, or in cases of a shortage of extraction reagents.

Author Contributions

Conceptualization, M.E.Á.-A.; Methodology, S.R.-A. and G.M.; Validation, S.R.-A.; Formal analysis, Z.P.-M.; Investigation, C.C.-A.; Data curation, G.M.; Writing-original draft preparation, G.M.; Writing-review and editing, J.A.B. and S.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved by Comité de Ética de la Investigación del Principado de Asturias with code CEImPA 2021.188.

Data Availability Statement

Not applicable.

Acknowledgments

Thanks to ASCOL (Asturiana de Control Lechero) for their financial support for this research.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Figure 1. Representation of the total sensitivity of each method and distributed by cycle threshold subgroups.
Figure 1. Representation of the total sensitivity of each method and distributed by cycle threshold subgroups.
Applmicrobiol 02 00060 g001
Table 1. Sensitivity, mean, range, IC95%, and p-value for the different methods that were tested.
Table 1. Sensitivity, mean, range, IC95%, and p-value for the different methods that were tested.
Extraction with ReagentsHeat Extraction
MP96BikopNormalWith pKMicrowaves
Total
Positives43 (100%)41 (95.34%)41 (95.34%)41 (95.34%)38 (88.37%)
X ¯ ± σ29.07 ± 4.4427.29 ± 4.3626.39 ± 4.5725.58 ± 4.0227.31 ± 5.02
Range(21–34)(15–37)(17–36)(18–35)(17–37)
IC95%(27.86–30.28)(25.99–28.59)(25.03–27.75)(24.38–26.78)(25.81–28.81)
p-value-0.200.210.210.04
Ct < 30
Positives21 (100%)20 (95.24%)21 (100%)21 (100%)20 (95.24%)
X ¯ ± σ25.57 ± 2.6825.15 ± 4.3024.14 ± 4.2224.85 ± 4.1426.3 ± 5.39
Range(21–29)(15–32)(17–31)(18–30)(17–35)
IC95%(24.43–26.71)(23.31–26.99)(22.33–25.95)(23.08–26.62)(23.99–28.61)
p-value-0.230.450.490.45
Ct ≥ 30
Positives22 (100%)21 (95.45%)20 (90.91%)20 (90.91%)18 (81.82%)
X ¯ ± σ32.4 ± 1.3729.33 ± 3.4028.75 ± 3.7026.35 ± 3.8628.44 ± 4.45
Range(30–34)(23–37)(22–36)(21–35)(20–37)
IC95%(31.83–32.97)(27.91–30.75)(27.20–30.30)(24.74–27.96)(26.58–30.30)
p-value-0.190.090.100.02
Table 2. Cycle threshold for each sample by genome extraction procedure.
Table 2. Cycle threshold for each sample by genome extraction procedure.
SampleExtraction with ReagentsHeat Extraction
MP96BikopNormalAdding pKMicrowave
12127212219
22120171817
32315182121
42321243029
52328263026
62319181818
72425232732
82427303027
92525232731
102527232929
112529302424
122625232929
132725212135
142730282632
15283129240
162825292334
172822212122
182922212124
19290253026
202928262221
212932312930
223026282124
233023232226
243028262425
25312802931
263132292726
273131323530
283227312735
293229313237
303226222325
3133310280
323332252220
33330352827
343327262331
353325302228
36333029028
373327263226
383331322626
3934293600
403431282531
413437282636
42343632300
43343026250
44NVNVNVNVNV
45NVNVNVNVNV
4600000
4700000
4800000
4900000
5000000
5100000
5200000
5300000
5400000
5500000
5600000
5700000
5800000
5900000
6000000
6100000
6200000
6300000
6400000
6500000
6600000
6700000
6800000
6900000
7000000
NV = No Valuable.
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MDPI and ACS Style

Álvarez-Argüelles, M.E.; Rojo-Alba, S.; Martín, G.; Pérez-Martínez, Z.; Castelló-Abietar, C.; Boga, J.A.; Melón, S. Utilization of Microwaves: A Novel Approach to SARS-CoV-2 Genome Extraction. Appl. Microbiol. 2022, 2, 800-804. https://doi.org/10.3390/applmicrobiol2040060

AMA Style

Álvarez-Argüelles ME, Rojo-Alba S, Martín G, Pérez-Martínez Z, Castelló-Abietar C, Boga JA, Melón S. Utilization of Microwaves: A Novel Approach to SARS-CoV-2 Genome Extraction. Applied Microbiology. 2022; 2(4):800-804. https://doi.org/10.3390/applmicrobiol2040060

Chicago/Turabian Style

Álvarez-Argüelles, Marta Elena, Susana Rojo-Alba, Gabriel Martín, Zulema Pérez-Martínez, Cristian Castelló-Abietar, Jose Antonio Boga, and Santiago Melón. 2022. "Utilization of Microwaves: A Novel Approach to SARS-CoV-2 Genome Extraction" Applied Microbiology 2, no. 4: 800-804. https://doi.org/10.3390/applmicrobiol2040060

APA Style

Álvarez-Argüelles, M. E., Rojo-Alba, S., Martín, G., Pérez-Martínez, Z., Castelló-Abietar, C., Boga, J. A., & Melón, S. (2022). Utilization of Microwaves: A Novel Approach to SARS-CoV-2 Genome Extraction. Applied Microbiology, 2(4), 800-804. https://doi.org/10.3390/applmicrobiol2040060

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