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Development of a Single Nucleotide Polymorphism DNA Microarray for the Detection and Genotyping of the SARS Coronavirus
Development of a Single Nucleotide Polymorphism DNA Microarray for the Detection and Genotyping of the SARS Coronavirus
Journal of Microbiology and Biotechnology. 2014. Oct, 24(10): 1445-1454
Copyright © 2014, The Korean Society For Microbiology And Biotechnology
  • Received : April 14, 2014
  • Accepted : June 16, 2014
  • Published : October 28, 2014
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About the Authors
Xi Guo
Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, TEDA, Tianjin 300457, P. R. China
Peng Geng
School of Basic Medical Sciences, Tianjin Medical University, Heping District, Tianjin 300070, P. R. China
Quan Wang
School of Basic Medical Sciences, Tianjin Medical University, Heping District, Tianjin 300070, P. R. China
Boyang Cao
Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, TEDA, Tianjin 300457, P. R. China
Bin Liu
Key Laboratory of Molecular Microbiology and Technology, Ministry of Education, TEDA, Tianjin 300457, P. R. China
liubin1981@nankai.edu.cn

Abstract
Severe acute respiratory syndrome (SARS), a disease that spread widely in the world during late 2002 to 2004, severely threatened public health. Although there have been no reported infections since 2004, the extremely pathogenic SARS coronavirus (SARS-CoV), as the causative agent of SARS, has recently been identified in animals, showing the potential for the re-emergence of this disease. Previous studies showed that 27 single nucleotide polymorphism (SNP) mutations among the spike (S) gene of this virus are correlated closely with the SARS pathogenicity and epidemicity. We have developed a SNP DNA microarray in order to detect and genotype these SNPs, and to obtain related information on the pathogenicity and epidemicity of a given strain. The microarray was hybridized with PCR products amplified from cDNAs obtained from different SARS-CoV strains. We were able to detect 24 SNPs and determine the type of a given strain. The hybridization profile showed that 19 samples were detected and genotyped correctly by using our microarray, with 100% accuracy. Our microarray provides a novel method for the detection and epidemiological surveillance of SARS-CoV.
Keywords
Introduction
The causative agent of the outbreak of the atypical pneumonia known as severe acute respiratory syndrome (SARS) has been identified as a novel coronavirus (CoV) [4 , 16] . Before the global outbreak of SARS, SARS-CoV-like viruses had been detected in game animals that are commonly sold in Chinese markets, as the virus likely replicates in animal reservoirs [5 , 11] . Despite the fact that there have been no reported infections since April 2004 [15] , the extremely pathogenic virus has recently been identified in animals [1 , 18 , 27] , which demonstrates the potential for the re-emergence of SARS.
Serological tests for SARS-CoV were not generally useful or practical since seroconversion often occurs 2 to 3 weeks after infection [14] . On the other hand, molecular tests were recommended based on the orf1b, polymerase (Pol), and nucleocapsid (N) genes for early SARS diagnosis, due to the high rapidity and accuracy of the test [9 , 17 , 19 , 20 , 26] . The spike protein (S protein), one of the major structural proteins of SARS-CoV, is essential for virus interactions with host cell receptors and the subsequent fusion of the viral envelope with the host cell membrane to allow viral entry and infection [2 , 3] . The S protein also contains important epitopes that elicit the production of neutralizing antibodies in the host species. Furthermore, mutations in the spike gene (S gene) dramatically affect virulence, pathogenesis, and virus tropism [13] .
Kan et al. [8] discovered 27 novel single nucleotide polymorphisms (SNPs) located in the S gene of the SARS-CoV, that are related to virus phylogenicity, as well as the strain-dependent clinical and epidemiological records available for this virus. Phylogenetic analysis of these SNPs demonstrated that viruses replicating in palm civets had evolved the ability to infect humans. As such, these SNPs describe microevolutionary events that are related to the epidemicity of the SARS-CoV. Based on these SNPs, the viruses have been qualitatively classified into four groups: the prototype group with no SNPs, the low pathogenicity group containing 2-7 SNPs, the high pathogenicity group containing 17-22 SNPs, and the epidemic group containing 25-27 SNPs [8] .
Oligonucleotide array technology has been successfully applied to gene discovery, the study of gene expression patterns, the detection of mutations and polymorphisms, and the mapping of genomic clones [21 , 22] . With the potential to detect thousands of SNPs in parallel, oligonucleotide arrays offer a cost-effective approach for high-throughput polymorphism analysis [24 , 25 , 28] . A previously developed DNA microarray system targeting six SNPs within the entire SARS-CoV genome was established for viral detection and genotyping [12] .
In this work, an allele-specific oligonucleotide (ASO) hybridization-based microarray was developed with the ability to screen 24 SNPs simultaneously, and was used for the detection of S gene polymorphisms in 19 cDNAs obtained from SARS-CoV clinical isolates. Since these mutations are closely related to the pathogenicity and epidemicity of the SARS-CoV, this technique can provide useful information for tracking and monitoring the phases of SARS epidemics, and provide critical information regarding clinical treatment and disease control.
Materials and Methods
- cDNA Samples
Nineteen cDNAs from SARS-CoV isolates, which had been sequenced with clear epidemiological record, and five cDNAs from other members of Coronaviridae were used in our study ( Table 1 ).
cDNAs used in our study.
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aAn isolate that is given away by the laboratory of the Chinese Center for Disease Control and Prevention, Beijing, China. bObtained from Tianjin Medical University.
- PCR Amplification
PCR1-4 amplification was performed in a total volume of 50 μl, and consisted of 10 ng of SARS-CoV genomic cDNA, 1× PCR buffer (50 μmol/l KCl, 2.5 μmol/l MgCl 2 , 10 μmol/l Tris-HCl, pH 8.3), 200 μmol/l of each deoxynucleoside triphosphate (dNTP), 2.5 units of Taq DNA polymerase (TaKaRa Biotechnology (Dalian) Co. Ltd., China), and 0.5 μmol/l of each S gene primer ( Table 2 ). Reaction parameters were as follows: 94℃ for 5 min; 35 cycles of 94℃ for 30 sec, 47℃ for 1 min, and 72℃ for 1 min; followed by a final extension at 72℃ for 5 min. PCR products were visualized by agarose gel electrophoresis to examine the amplified DNA. After amplification, PCR products 1-4 were mixed with an equal amount, purified with the Microcon Centrifugal Filter Devices kit (Millipore Corporation, MA, USA), and eluted in 30 μl of autoclaved water and quantified using a spectrophotometer.
Primers used for the amplification of the SARS-CoV spike gene.
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Primers used for the amplification of the SARS-CoV spike gene.
- ASO Probe Design and Synthesis
Two pairs of probes were designed for each SNP site; one pair for the prototype group containing no SNPs and the other for the epidemic group containing 25-27 SNPs. Each pair consists of two strands, the sense (+) strand and the antisense (-) strand. SNPs are scored by discrimination between perfect match (PM) probes and single basepair mismatch (MM) probes in hybridization assays with DNA targets. With the appropriate selection of oligonucleotide probes and hybridization conditions, it is possible to discriminate between a target DNA sequence and a variant differing in sequence by a single base, and all the oligonucleotides were designed to position the targeted base as close to the center as possible [6] . All probes were synthesized by AuGCT Biotechnology Corporation (Beijing, China). A nonspecific spacer sequence of 15 dT residues was also included at the 5’ end of each oligonucleotide and all probes were synthesized with a 5’ amino group that facilitates covalent immobilization on the aldehyde glass slide.
- Preparation of Microarrays
The probes were dissolved in 50% dimethyl sulfoxide (DMSO) at a concentration of 1.0 μg/μl and printed onto aldehyde-group-modified glass slides (CEL-Corporation) using a Spotarray72 instrument (Perkin-Elmer Corporation, CA, USA). Each probe was spotted in triplicate to eliminate irregular data arising from physical defects in the glass slides. Then the slides were dried for 1 day at room temperature, cross-linked by UV cross-linking (UVP Corporation), and stored at room temperature in the dark.
- Labeling
Considering the length of target DNAs, the random primer N4, which could label the target DNAs uniformly and obtain shorter DNA fragments for hybridizing with the probes more easily, was used for labeling as follows: 2 μg of purified PCR products and 2 μmol/l random primer N4 (TaKaRa Biotechnology (Dalian) Co. Ltd., China) were mixed (molar ratio is 1:10), and then denatured at 98℃ for 10 min and cooled on ice immediately for 15 min. The mixture was then incubated with 5 units of Klenow DNA polymerase (Jingmei Biotech Co., Ltd., China), 100 μmol/l dATP, dTTP, dGTP, 40 μmol/l dCTP, and 10 μmol/l fluorescent Cy5-dCTP at 37℃ for 1 h.
- Hybridization
The labeling mixtures were dried in a vacuum and resuspended in 25 μl of hybridization solution (6× SSC (1× SSC is 150 mmol/l NaCl and 15 mmol/l sodium citrate), 5× Denhardt’s solution, 0.1 μg/l salmon sperm DNA, and 10% formamide). The hybridization mixture was denatured at 98℃ for 10 min and transferred to the hybridization area on the glass slide immediately. The slide was incubated at 36℃ overnight in a hybridization chamber under a cover slip for 16 h. After incubation, the slide was rinsed and washed sequentially in washing solution A (1× SSC, 0.2% sodium dodecyl sulfate), washing solution B (0.2× SSC), and washing solution C (75% ethanol) for 2 min each, and then dried at room temperature.
- Fluorescence Detection
The slides were scanned with a laser at 635 nm for Cy5 labeling for each isolate, and a laser at 532 nm for Cy3 coupled with oligonucleotide poly(dT) 15 used for positional reference and printing control using the 4100A biochip scanner (Axon Corporation, CA, USA) with the following parameters: photomultiplier tube gain of 600 and a pixel size of 5 μm. For each spot, pixel intensities within the spot image were summed. The average value of pixel intensities for each spot was calculated and the local background level was subtracted from the sum of the signal intensity.
Results
- PCR Amplification and Labeling
PCR products 1-4 were obtained by using four pairs of primers. PCR product 1 was 1,145 bp in length covering eight SNPs (nt21907, nt22172, nt22219, nt22222, nt22517, nt22522, nt22570, and nt22721); PCR product 2 was 1,045 bp in length covering two SNPs (nt24730 and nt24978); PCR product 3 was 907 bp in length covering eight SNPs (nt23316, nt23317, nt23330, nt23485, nt23719, nt23785, nt23823, and nt23952); and PCR product 4 was 515 bp in length covering seven SNPs (nt22874, nt22875, nt22906, nt22927, nt22928, nt22930, and nt22951). A DNA smear was generated by 2% agarose gel electrophoresis with a range of 500-700 bp after labeling and was ready for hybridization.
- Design of ASO Probes
The length of the ASO probe is the most important factor affecting the stability of the duplex and sequence discrimination. Generally, short hybridization sequences have the advantage of providing greater discrimination between PM probes and MM probes, but at a cost of reduced overall stability, whereas longer hybridization sequences form more stable duplexes, but suffer from reduced discrimination [6] . SNP nt24978 was selected to optimize the probe length for our study. A series of ASO probes targeting nt24978 consisting of 12mers (PM-ATTCAA G AAGAA/MM-ATTCAA A AAGAAAT), 14mers (PM-CATTCAA G AAGAAA/MM-ATTCAA A AAGAAAT), 16mers (PM-ACATTCAA G AAGAAAT/MM-CATTCAAA A AGAAATT), 18mers (PM-AACATTCAA G AAGAAATT/MM-ACATTCAA A AAGAAATTG), and 20mers (PM-CAACATTCAA G AAGAAATTG/MM-AACATTCAA A AAGAAATTGA) were designed and tested. Fig. 1 A shows the positions of the above probes spotted on the glass slide. After hybridization with isolate civet007G and calculating the signal intensities for each probe, we found that the fluorescence intensities increased with the length of the probes ( Figs. 1 B and 1 C). There was nearly no hybridization signal when the probe was too short (12mers and 14mers), whereas nonspecific hybridization signals were observed when the probe was too long (20mers). Consequently, the 16-18mer probes were chosen for all subsequent work, except for some 14-15mer probes that were chosen owing to their high GC contents.
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Signal intensities of the probes with different lengths for SNP nt24978 detection. (A) Layout of the probes with different lengths. P1 and P2 represent the positive control; Cy3 represents the oligonucleotide poly(dT)15 labeled with the fluorescent Cy3-dUTP at the 3’ end for positional reference and printing control. (B) Fluorescence images obtained from civet007G. (C) Signal intensity ratios of PM to MM. Error bars represent the standard deviation.
Among the 27 SNPs in the S gene, four are synonymous and 23 are nonsynonymous. Probes targeting two synonymous SNPs (nt22517 and nt22874) were inevitably designed, since both were too close to two other nonsynonymous SNPs (nt22522 and nt22875). In total, 19 groups of 104 ASO probes were designed for 25 SNPs ( Table 3 ). Considering the locations of these SNPs, probes in groups 1, 2, 5, 7, 9, 11, 12, 13, 14, 15, 16, 17, 18, and 19 were designed to target only single SNPs, and each group contained two pairs of probes. Probes in groups 3, 4, 6, and 10 targeted two SNPs each, and each group contained four pairs of probes. Finally, probes in group 8 targeted three SNPs, and this group contained eight pairs of probes.
Probes used in our microarray.
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The italic and bold bases refer to the SNP sites. aEpidemic group; bprototype group; clow pathogenicity group; dhigh pathogenicity group.
In addition, we also designed a pair of probes that targeted a conserved region of the S gene as a positive control (P1 and P2) and a probe containing poly(dT) 15 as the negative control (N). Another probe containing poly(dT) 15 labeled with the fluorescent Cy3-dUTP at the 3’ end was designed and used for positional reference and printing control. A schematic diagram of their relative positions on the microarray is shown in Fig. 2 .
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Layout of the surface-bound ASO probes on the microarray. S001 to S104 represent all the ASOs covering 25 SNPs located in the S gene; P1 and P2 represent the positive controls; N represents the negative control; Cy3 represents the 3’ Cy3-dUTP-labeled oligonucleotide poly(dT)15 for positional reference and printing control.
- Probe Specificity
Six isolates, three of BJ01, Sin2500, and Lung representing the epidemic group and the rest of civet007G, A001G, and B029G representing the low pathogenicity group, were selected for the verification of our probes. The scanned fluorescence images of BJ01 and civet007G are shown in Figs. 3 A and 3 B, respectively. Since each pair of probes differs by only a single base, it is very difficult to avoid nonspecific signals. However, the nonspecific signals can be identified by their lower signal intensities compared with specific signals, rather than their disappearance [7] . We employed an intensity ratio of 3:1 as the threshold to categorize specific and nonspecific signals. For example, consider the group 15 probes S085-S088 for the detection of nt23823. When hybridized with BJ01, the ratios of signal intensities of PM (S085-086) to MM (S087-088) is approximately 33, indicating that the base at nt23823 in BJ01 is a T, whereas when the probes are hybridized with isolate civet007G, the ratios of the signal intensities of PM (S087-088) to MM (S085-086) is approximately 19, indicating that the base at nt23823 in civet007G is a G. All ASO probes were verified using the six isolates for four times. The intensity ratios of each pair of probes in all 19 groups for BJ01 and civet007G are shown in Figs. 3 C and 3 D, respectively. According to the hybridization profile and the ratios of fluorescence intensities, 24 of 25 SNPs could be detected correctly by our microarray and the results were confirmed by sequencing.
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Fluorescence images of the microarray and the signal intensity ratios for each pair of probes. (A) Fluorescence images obtained from BJ01 representing the epidemic group. (B) Fluorescence images obtained from civet007G representing the low pathogenicity group. (C) Signal intensity ratios of PM to MM probes in each group obtained from BJ01. Error bars represent the standard deviation. (D) Signal intensity ratios of PM to MM probes in each group obtained from civet007G. Error bars represent the standard deviation.
In addition, five cDNAs from other members of Coronaviridae were employed to test the specificity of our microarray. These viruses included one avian infectious bronchitis virus (IBV), one murine hepatitis virus (MHV), one bovine coronavirus (BCV), and two human coronaviruses (HCV). These isolates failed to generate any positive signals.
- Detection of SARS-CoV Samples
A total of 19 cDNAs obtained from clinical isolates or specimens were obtained to validate our microarray system. The hybridization profile showed that one represented the prototype group, 15 belonged to the low pathogenicity group, three matched the epidemic group, and none fell into the high pathogenicity group. The results generated by our microarray were confirmed by sequence analysis and were in accordance with the clinical and epidemiological records of these strains, showing the accuracy is 100%.
Discussion
As shown in Figs. 3 C and 3 D, fluctuations among different groups of probes were observed. This may be due to the different hybridization kinetics attributed to the GC content and melting temperature among these probes. The locations of the SNPs limit our choices of designing probes with similar hybridization kinetics. The probe length and the formamide concentration in the hybridization buffer could be optimized, which might increase the stability of the microarray system. We could not detect the SNP nt23952, despite testing a series of probes. The probes S089-092 that were originally designed for nt23952 were analyzed using Primer Premier 5.0 and were found to form stable hairpins (ΔG = -2.7, ΔG refers to Gibbs free energy) and dimers among themselves (ΔG = -7.2), which might result in the failure to hybridize with target DNAs.
Techniques newly developed over these years, especially second-generation sequencing or PacBio RS sequencing, may be used to address such an important event as the reemergence of SARS-CoV. However, they require more expensive equipments, have higher testing costs, and are especially time consuming for library construction and sequencing, which could not fulfill the need of early epidemiological investigation [10 , 23] . Oligonucleotide microarrays afford a higher throughput compared with conventional Sanger sequencing-based methods, because they can be used to analyze multiple genetic regions or many SNPs in one region simultaneously. In addition, by using the methods based on the microarray, the detection work could be accomplished in one day, which is more rapid and at lower costs compared with those using new sequencing technologies.
Long et al. [12] previously developed a DNA microarray system targeting six SNPs distributed across the “whole genome” for the detection and genotyping of SARS-CoV, which was confirmed using 20 isolates. Comparatively, our study focused on the 25 SNPs in the “single S gene” encoding the S protein, which is essential for viral infection and as epitopes of SARS-CoV. Hence, our microarray is more focused and relevant, and results from our assay could be more closely related to the epidemicity of this virus.
As SARS-CoV has not circulated among humans since 2004, it may be expected that new strains would have different SNPs in the spike gene after 10 years. More isolates with broad representation could help further evaluate our microarray. The microarray has its limitation in that any probe must be designed relying on a known sequence. However, once new SNPs emerged could be identified by sequencing, probes based on them can be designed and complemented to our microarray quickly and easily. Overall, our microarray provides a potential tool to identify the pathogenicity and epidemicity of a given SARS-CoV strain, in order to improve the prevention and control of SARS.
Acknowledgements
We thank the Chinese Center for Disease Control and Prevention for providing the cDNAs of SARS-CoV isolates. This work was supported by the National Key Program for Infectious Diseases of China (2013ZX10004221), the National 973 Program of China Grant (2011CB504900), the National High Technology Research and Development Program of China (863 Program) (2011AA100901-2), International Science & Technology Cooperation Program of China (2012DFG31680 and 2013DFR30640), National Natural Science Foundation of China (NSFC) Program (31371259, 31270003 and 31270016) and Research Project of Chinese Ministry of Education (NO.113015A).
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