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Modified genome comparison method: a new approach for identification of specific targets in molecular diagnostic tests using Mycobacterium tuberculosis complex as an example

BMC Infectious Diseases volume 18, Article number: 517 (2018) Cite this article

Abstract

Background

The first step of designing any genome-based molecular diagnostic test is to find a specific target sequence. The modified genome comparison method is one of the easiest and most comprehensive ways to achieve this goal. In this study, we aimed to explain this method with the example of Mycobacterium tuberculosis complex and investigate its efficacy in a diagnostic test.

Methods

A specific target was identified using modified genome comparison method and an in-house PCR test was designed. To determine the analytical sensitivity and specificity, 10 standard specimens were used. Also, 230 specimens were used to determine the clinical sensitivity and specificity.

Results

The identity and query cover of our new diagnostic target (5KST) were ≥ 90% with M. tuberculosis complex. The 5KST-PCR sensitivity was 100% for smear-positive, culture-positive and 85.7% for smear-negative, culture-positive specimens. All of 100 smear-negative, culture-negative specimens were negative in 5KST-PCR (100% clinical specificity). Analytical sensitivity of 5KST-PCR was approximately 1 copy of genomic DNA per microliter.

Conclusions

Modified genome comparison method is a confident way to find specific targets for use in diagnostic tests. Accordingly, the 5KST-PCR designed in this study has high sensitivity and specificity and can be replaced for conventional TB PCR tests.

Peer Review reports

Background

One of the methods to find a specific target to use in diagnostic tests is genome comparison method. In this method, the full genome of the organism is compared with close organisms and the most specific sequences can be identified and used for the design of nucleic acid-based diagnostic tests [1]. Unfortunately, this method causes confusion due to the lack of transparency in the protocol, and use of the unfamiliar software. In this study, we applied some changes to the previous method such as defining an obvious pathway using online and available software and aimed to employ this method to find a new specific target for Mycobacterium tuberculosis complex. It is clear that this new approach to detect specific diagnostic targets is also appropriate in other microorganisms, and it makes the first step of designing any genome-based diagnostic test (finding a specific target) easier.

Tuberculosis (TB) has been among the 10 leading causes of human death since 2000 [2]. It causes more than 1.3 million deaths each year, which is even higher than road traffic accidents and HIV/AIDS [2].

WHO has planned for a 90% reduction in TB deaths by 2030. To achieve this, both parts of diagnosis and treatment must be strengthened. TB is a treatable infection, provided it is diagnosed promptly. The importance of the diagnostic part becomes clearer by knowing this fact that timely diagnosis and treatment from 2000 to 2016, saved the lives of over 53 million people with TB [2].

So far, many laboratory tests have been designed to diagnose TB, but some of these tests despite their high levels of performance, have not been used in high TB burden countries due to the costs [3]. The most common methods for TB diagnosis in low-income countries include acid-fast bacilli microscopy, culture and PCR [4].

PCR is the most important molecular diagnostic method used to detect TB during past two decades, and it has maintained its position despite the introduction of newer methods such as loop-mediated isothermal amplification (LAMP). Over the past years, various target sequences were used for TB PCR such as IS6110, mpb64, devR, hsp65, 38 KDa (pstS1), 30 KDa (fbpB), esat6, cfp10, 16S rDNA gene (rrs) and rpoB [5,6,7,8,9]. Diagnostic tests based on these targets have high sensitivity and specificity. Nevertheless, sensitivity of the test is greatly reduced on clinical specimens [10, 11]. This reduction of sensitivity can be attributed to the presence of inhibitors in clinical specimens. According to the results of some articles, there are unknown substances in the respiratory specimens (especially sputum) that have been shown to cause 10 to 26% false-negative results in PCR test and thereby reduce the sensitivity [12,13,14]. other items such as poorly designed primers [15], or partial loss of target DNA during purification [16] are also effective in the reduction of PCR sensitivity, especially on clinical specimens.

Each of the targets used to date has limitations. For example, about two widely used targets (IS6110, mpb64), it has been shown that in some parts of Southeast Asia, there are strains of M. tuberculosis which lack the IS6110 sequence [17], and the nonspecifically positive result of mpb64-PCR was also seen in M. scrofulaceum [18].

Therefore, we still need to find a specific and long enough sequence that would allow us to design the best possible diagnostic primers with minimal mispairing, hairpin, and dimer, to enhance the PCR sensitivity.

In this study, by modifying the genome comparison method, we identified a 5 Kbp sequence which is specific for M. tuberculosis complex (MTBC) and named it 5KST (5 Kbp Specific Target). It was then used to design a sensitive and highly specific PCR test. Next, the efficacy of this target was evaluated on clinical specimens (true positives and negatives) and pure genomic DNA.

Methods

Employment of this method for the genome of Mycobacterium tuberculosis with about 4.4 million bp, required 45–50 h of continuous work. To reduce the errors, all dedicated work of finding the target was divided between 4 people and each part was performed separately. With this approach, 11–12 h were needed for them to investigate their fragments, which were included in three working days (4 h of continuous work per day).

Finding specific target by modified genome comparison method

At this stage, the complete genome sequences of MTBC members were compared with available genomic sequences on nucleotide collection database (a part of NCBI) and the most specific sequence was selected. It should be noted that this instruction can be accomplished for any other microorganisms. The steps are summarized as follows:

  1. 1.

    First, available genomic sequences of MTBC members on NCBI database were determined and one case, preferably RefSeq, was considered as the reference for each species (Table 1).

  2. 2.

    Then, one of these seven items should be selected as the initial basis. For this study, the sequence of M. tuberculosis H37Rv (NC_000962.3) was considered as the basis and its genomic sequence was downloaded from the NCBI and cut to about 5000 bp fragments, providing about 882 fragments.

  3. 3.

    Each fragment was compared separately with other NCBI available genomic sequences by blastn (https://blast.ncbi.nlm.nih.gov/Blast.cgi). The required time for each fragment was about 30 s.

  4. 4.

    Then, the blast search results were evaluated, and appropriate fragments were selected. Two criteria were considered for the result evaluation: 1. Presence of all 7 species of MTBC (Table 1) in Blast search results, with both identity and query cover ≥90%. To simplify, we used Ctrl+F of windows operating system. 2. No bacteria other than MTBC members would appear with query cover > 10%. Blast search results are sorted by their query cover (by default) and are shown in descending order. So, the bacteria with a query cover > 10% can be easily found with a glance at the end of the list. The required average time for this step was about 2 min to check each fragment.

  5. 5.

    For the second screening, from selected sequences of previous step, the sequence which could identify the most of MTBC members was considered as the most specific sequence (Fig. 1).

Table 1 MTBC members with available complete genome on NCBI database (preferably RefSeq)
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Fig. 1
figure1

The sequence of 5 Kb Specific Target (5KST). The 5KST primers are shown

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Bioinformatics control

A) Comparison with rpoB: In this part the rpoB gene, an essential target sequence, was used as a positive control in bioinformatic investigations and rpoB sequence compared with all registered complete genomes in the nucleotide collection database ( https://www.ncbi.nlm.nih.gov/nuccore/?term= ), using blastn search. Then, all strains of M. tuberculosis (with complete genome) identified by this target, were extracted and compared with the strains identified by 5KST. The identity of these two groups showed that the 5KST is conserved among the all registered M. tuberculosis strains in nucleotide collection database.

B) Investigating the 5KST conservation with the help of TB-ARC project data:

The genomic sequence of 304 strains of M. tuberculosis, M. africanum, and M. bovis related to the TB Antibiotic Resistance Catalog project [19] around the world, were randomly downloaded from the site ( http://olive.broadinstitute.org/projects/tb_arc ) and the presence of 5KST sequence among these 304 strains was studied by blastn search. The geographic regions and the number of randomly studied strains for each region are listed in Table 2.

Table 2 The number of randomly studied strains and their geographical regions, to prove the 5KST conservation
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Primer design

Designing and analysis of primers for the 5 Kbp Specific Target (5KST) was performed with Oligo7 [20] and Oligoanalyzer 3.1 software (https://eu.idtdna.com/calc/analyzer). Primers and 128 bp amplicon sequence are shown in Table 3.

Table 3 Primers and the amplicon sequence of 5KST-PCR
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Polymerase chain reaction

PCR reaction was prepared in the total volume of 25 μl containing 1 μl of sample DNA, 2.5 μL of 10× PCR buffer (100 mM Tris-HCl [pH 8.3], 500 mM KCl), 1.5 μL of 25 mM MgCl2, 0.5 μL of 200 μM (each) of the four dNTPs, 1 μL of each 10 μM forward and reverse primers, PCR grade water, and 0.625 U of Taq DNA polymerase. The positive control contained 1 ng of M. tuberculosis purified DNA, and the negative control contained no DNA.

The DNA amplification was performed by thermocycler (Atlas G Japan). Initial denaturation at 95 °C for 5 min, was proceeded by 40 cycles of (i) denaturation at 95 °C for 15 s, (ii) annealing at 60 °C for 20 s, (iii) extension at 72 °C for 30 s, followed by a final extension at 72 °C for 5 min.

Then, 5 μL of PCR product was electrophoresed on 2% agarose gel containing DNA green viewer and DNA bands were visualized under ultraviolet light from UV transilluminator (UVTEC). The presence of a 128 bp fragment indicated the positive result. 10% of positive specimens were selected randomly and sequencing was performed on their amplicons.

Analytical sensitivity (detection limit)

Purified genomic DNA of M. tuberculosis H37Rv was extracted from colonies by Dick Van Soolingen method [21]. DNA concentration was determined by spectrophotometer (Thermo Scientific). Then, serial dilution of genomic DNA was prepared using distilled water (10 pg, 1 pg, 100 fg, 10 fg, 5 fg, 1 fg) and 1 μL was used as template. This process was performed for three times, on three different days.

Analytical specificity

To determine the analytical specificity for 5KST-PCR, genomic DNA of two members of MTBC (M. tuberculosis H37Rv and M. bovis BCG) and four Non-tuberculosis mycobacteria (M. smegmatis, M. chelonae, M. simiae, M. fortuitum) and four non-Mycobacterium bacteria (Corynebacterium diphteriae, Escherichia coli, Staphylococcus aureus and Streptococcus pneumoniae) were used which purchased from Pasteur Institute (Tehran, Iran). The amount of 10 ng of genomic DNA was used in the reaction for each species.

Evaluation of clinical specimens

Specimen collection

A total of 100 smear-positive and culture-positive, and 100 smear-negative and culture-negative sputum specimens were obtained from tuberculosis laboratory of Qaem hospital in Mashhad. The ethical approval for performing this study was obtained from the Ethics Committee of the Mashhad University of Medical Sciences (Ethics code of IR.mums.fm.rec.1397.143). To confirm TB, mpb64-PCR and IS6110-PCR were performed on colonies of each specimen [22].

Specimen processing

To homogenize and concentrate the specimens, all clinical specimens examined in this study was processed using modified Petroff’s method and cultured on LJ medium [23]. In brief, 5 ml of sputum was homogenized for 15 min in a shaker using an equal volume of 4% NaOH. After centrifugation at 6000 rpm for 15 min, the sediment was neutralized with 20 ml of sterile distilled water. The samples were again centrifuged. The supernatant was discarded and the precipitate was dissolved in the little residual liquid in the bottom of falcon to be used for the next steps.

Providing smear negative, culture-positive specimens

A total of 30 smear-positive and culture-positive processed samples were diluted with the processed negative specimen and two-fold serial dilutions were prepared (1/2, 1/4, 1/8, 1/16, 1/32, 1/64, 1/128). Then, all of the dilutions were subjected to ziehl-neelsen staining and smear-negative dilutions were cultured on Lowenstein Jensen medium (LJ). The lowest concentrations with a positive culture were considered as smear-negative, culture-positive specimens.

DNA extraction

Autoclave method with some modification was used to extract DNA [24]. The processed specimens were transferred to 1.5 ml microtubes. Then, microtube lids were sealed and the autoclave process was performed (121°c for 5 min). No other substance was added to the specimens. In order to remove the debris, microtubes were centrifuged at 12000 rpm for 5 min. Then, the supernatant was used as the template for 5KST-PCR test.

Investigating the inhibitory effect of clinical specimens on 5KST-PCR

To study the inhibitory effect of clinical specimens, 8 true negative processed sputum samples were pooled together. Then the pure genomic DNA provided in the previous step, was added to 50 μl of this pooled specimen up to the final concentration of 100 pg/μl of DNA. Then, two groups of six dilutions were prepared by the remained pooled specimen. The first group included 10 pg, 1 pg, 100 fg, 10 fg, 5 fg, and 1 fg dilutions and the second group included 5 pg, 0.5 pg, 50 fg, 5 fg, 2.5 fg, and 0.5 fg dilutions. Then, 1 μl of DNA for the first group and 2 μl of DNA for the second group were used for the 5KST-PCR test. So, the amount of DNA used in both groups was equal and the only difference was the amount of clinical specimen used in the reactions.

Results

Target finding

The 5000 bp fragment containing nucleotides 3,127,000 to 3,132,000 of M. tuberculosis H37Rv genome (NC_000962.3) was identified as the most specific possible sequence (Fig. 1). The blastn search showed that among the NCBI-registered complete genomes (nucleotide collection database), this sequence could specifically detect 237 strains of M. tuberculosis (Additional file 1: Table S1), 12 strains of M. bovis BCG, 8 strains of M. bovis, 3 strains of M. africanum, 2 strains of M. canettii, 1 strain of M. caprae and 1 strain of M. microti.

Results of bioinformatics control

Two hundred thirty-seven strains of M. tuberculosis (with complete genome registered in nucleotide collection database) could be identified by rpoB sequence, which was quite identical to the strains which could be identified by 5KST-PCR (Additional file 1: Table S1).

Furthermore, the study of 5KST presence in 304 strains of M. tuberculosis related to the TB-ARC project also showed that this sequence is present in the all 304 strains and is considered as a conserved sequence (Additional file 1: Table S2).

Analytical sensitivity (detection limit)

Analytical sensitivity is the lowest DNA concentration that a test can detect. Accordingly, the 5KST-PCR analytical sensitivity was 5 fg approximately equivalent to 1 copy of M. tuberculosis genomic DNA per μl (Fig. 2).

Fig. 2
figure2

Gel electrophoresis of 5KST-PCR products. It shows target amplicons at different concentrations of M. tuberculosis H37Rv genomic DNA as template. Lane M shows 100 bp DNA ladder and successive lanes show amplicons using 10 pg, 1 pg, 100 fg, 10 fg, 5 fg, 1 fg of M. tuberculosis genomic DNA. Lane C shows negative control

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Analytical specificity

Both species of M. tuberculosis and M. bovis BCG which studied in this study were identified by 5KST-PCR, but no amplicon was produced for studied Non-tuberculosis mycobacteria (M. smegmatis, M. chelonae, M. simiae, M. fortuitum) and non-Mycobacterium bacteria (Corynebacterium diphteriae, Escherichia coli, Staphylococcus aureus and Streptococcus pneumoniae) (Table 4).

Table 4 The results for analytical specificity of 5KST-PCR
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Clinical specimen’s result

Before beginning the study, all the specimens were cultured on the LJ medium. To select the true positive specimens, DNA extraction of the colonies was performed by simple boiling method and positive specimens were confirmed by mpb64-PCR and IS6110-PCR.

Only those specimens were included in the study as the true positives, which had clinical symptoms of the patient, and also simultaneous positive results of acid-fast bacilli smear, culture, and both PCR tests on the colonies. In addition, only those negative specimens were included in the study as true negatives, which had negative result of acid-fast bacilli smear and the culture, with the final clinical diagnosis of non-tuberculosis infection.

Clinical sensitivity and specificity

All 100 smear-positive, culture-positive specimens were positive for 5KST-PCR test (100% sensitivity) and 25 of 30 smear-negative, culture-positive samples were positive by the test (85.7% sensitivity). All 100 smear-negative and culture-negative specimens, were negative in 5KST-PCR test (100% clinical specificity). The 5KST-PCR results on clinical specimens are provided in Table 5.

Table 5 5KST-PCR results on clinical specimens
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Inhibitory effect of clinical specimens on 5KST-PCR

The results showed the sensitivity of 5 fg/μl and 10 fg/μl when using 1 μl and 2 μl of processed clinical specimen in our test, respectively. (Additional file 1: Figure S1).

Discussion

One of the most important parts of designing a nucleic acid amplification test (NAAT) such as PCR, is having a completely specific and long enough target. Specificity of the target would eliminate the false positive results. The long sequence would help the researcher to design efficient and sensitive primers. In this study, genome comparison method with few modifications was used to achieve completely specific and long sequence (1). In this method, using bioinformatic facilities provided by the NCBI database, genomic sequences of 7 members of MTBC were compared with complete genomes available on the database (up to 2018.08.20) and a 5000 bp sequence with high specificity was identified.

Based on in silico studies, the 5KST can specifically detect the most of NCBI-registered complete genomes of MTBC members including: 237 strains of M. tuberculosis, 12 strains of M. bovis BCG, 8 strains of M. bovis, 3 strains of M. africanum, 2 strains of M. canettii, 1 strain of M. caprae and 1 strain of M. microti.

Furthermore, the investigation of 5KST presence in 304 strains of M. tuberculosis from different parts of the world (TB-ARC project) showed that this sequence is conserved among all these strains (Additional file 1: Table S2). It should be noted that few of these 304 strains had the query cover of less than 100% (about 81–85%). After evaluating the sequences of these strains, we found that the query cover of less than 100% was not due to the less similarity to our sequence, but also it resulted from the gaps of the sequence during the sequencing process that recorded NNN’s instead of G, C, A, T bases.

Tuberculosis is a disease which has caused millions of deaths so far. Despite the advances in human science, it still puts millions of people at the risk of death every year. Therefore, extensive studies are being conducted in many parts of the world to control it in prevention, diagnosis and treatment parts [2]. The aim of the present study was to improve the diagnostic part of TB. If the diagnosis is timely, TB can be controlled and treated with minimal side effects when the disease is not advanced [25].

Three tests that are routinely used in most TB laboratories include acid-fast bacilli microscopy, culture and PCR [26]. PCR is fast, sensitive and highly specific. In most studies on clinical specimens, it showed higher sensitivity than acid-fast bacilli microscopy, but lower or equal sensitivity than culture. PCR acts more specific than the two other tests [26,27,28].

The most important factors that reduce the sensitivity of the PCR test on clinical specimens include 1. Presence of inhibitors in clinical specimens 2. Partial loss of DNA during purification 3. Chemical inhibitors residue from the purification process 4. Poorly designed and inefficient primers [16, 28, 29].

In this study, to prevent the negative effects of inhibitors in clinical specimens, only 1 μL of the specimen was used in 25 μL of reaction. The results of this study, previous experiences of our team in molecular laboratory, as well as reviewing the studies of other researchers, showed that the sensitivity of PCR test is lower when using clinical specimens (either natural or artificial) than pure DNA in the reaction. We don’t know exactly which inhibitor exists, but generally the substances of clinical specimens, especially sputum, cause the reduction in the sensitivity of test. As JE Clarridge et al. (1993), in a large study to evaluate the PCR test on clinical specimens, showed that the substances of clinical specimens, especially sputum, could cause up to 20% false-negative results and reduce the sensitivity [14]. In another study on sputum specimens, FS Nolte et al. reported that the sputum could produce 10 to 17% false-negative [12]. In a study on 76 respiratory specimens in Turkey, the inhibition rate of up to 26% was observed in the real-time PCR test and caused false-negative results [13]. Also in our study, the use of ≥2 μl clinical specimen in the 25 μl 5KST-PCR reaction worsened the sensitivity from 5 fg to 10 fg.

Also, to prevent DNA loss during purification, this step was removed and only autoclave extraction with few modifications was performed. Furthermore, since the 5KST sequence is long enough, we were able to design efficient primers with the best probable condition of not producing hairpin and dimer structures.

Our studies with blastn showed that all the important targets that have been used so far, have short length or contain long nonspecific regions. Unlike other targets, the 5KST target in addition to being long enough (5000 bp), does not have any statistically significant relationship to NTM bacteria. Some of the targets that have been used more than others or had better detection limit include: rpoB, IS6110, devR, mpb64, sdaA.

IS6110 has been used as one of the most widely used diagnostic targets for TB [8]. This 1361 bp sequence, is repeated multiple times in the genome of M. tuberculosis and thus is regarded as a sensitive diagnostic target. Up to now, various PCR tests are designed based on this sequence, and the reported detection limit usually equals 2 copy of M. tuberculosis genomic DNA per μl [18, 30,31,32]. Various studies showed that the PCR tests based on this target had a clinical sensitivity of 63–98% and clinical specificity of 82.1–100%. [18, 33,34,35,36] This sequence has limitations despite the high sensitivity. For example, some strains of M. tuberculosis have been found which lack the IS6110 sequence [17]. Furthermore, our in silico analysis with blastn showed that large fragments of this sequence have similarities with other NTM bacteria (M. rutilum, M. smegmatis, M. chimaera) and some Nocardia species such as N. brasiliensis. The 5KST sequence has only one copy in the genome of MTBC, nevertheless, it acts completely specific. In addition, unlike the IS6110, the 5KST is quite long which allows to design highly effective primers with minimal hairpin and dimer structures. Although the result of poorly designed primers may not appear in the test sensitivity of pure genomic DNA, it would quietly affect the clinical specimens and reduce the sensitivity [15].

Another diagnostic target sequence which many studies are based on, is mpb64 [28, 37, 38]. This sequence has 687 bp length [39]. Our in silico study by blastn showed that it also contains large regions with high similarity to NTM species such as M. kansasii, M. ulcerans, and M. hemophilum. These nonspecific regions as well as the short length of sequence, make it very difficult to design efficient primers. As in most cases, the sensitivity reported for mpb64 primers is lower than the IS6110 primers [35]. An analytical sensitivity that eventually reported for 5KST-PCR was 1 copy per μl, which according to previous studies is better than mpb64 -PCR (20 copies per μl) [18]. Also, mpb64-PCR had 88–91% specificity and 48–91% sensitivity on clinical specimens [18, 34, 35, 37].

rpoB diagnostic target has also been used to detect rifampicin-resistant TB in several studies [40]. Sensitivity and specificity of the PCR assays based on this target gene have been reported in two clinical trials about 93.3–95.8 and 100% respectively [41, 42]. However, our in silico analysis showed that this sequence has nonspecific similarities with some other mycobacteria. As the analytical specificity of this target in another study showed that the common primers designed for this sequence can also detect M. chelonae, M. kansasii, M. scrofulaceum, M. smegmatis and M. szulgai nonspecifically [18].

The devR sequence is another diagnostic target. In various studies, the detection limit of 200–500 copy per μl has been reported. This sequence has similarities with M. kansasii and may therefore results in false positives. In a clinical study of intraocular TB, same specificity and lower sensitivity compared to mpb64 were reported [18, 43, 44].

In a comparative study between common diagnostic target sequences of TB, the sensitivity of mpb64 was highest (84% in confirmed cases and 77.5% in clinically suspected cases). The clinical sensitivity of other targets was as follows: mpb64 > IS6110 > hsp65 > 38KDa (pstS1) > 30KDa (fbpB) > esat6 > cfp10 > devR [5].

sdaA is another target sequence with few studies. This 1383 bp sequence encodes a protein called serine dehydratase. Although the detection limit equivalent to 1 copy per μl has been reported for this target [18], but our blastn results showed the presence of many nonspecific regions. This sequence has 70–80% similarity to some non-tuberculosis mycobacteria (M. ulcerans, M. marinum, M. smegmatis, and M. fortuitum) and many non-Mycobacterium bacteria such as Rhodococcus and Nocardia.

Conclusions

In this study, we succeeded to introduce highly specific novel target using modified genome comparison method. We also designed highly specific primers, as they were able to detect even 1 copy of M. tuberculosis genomic DNA per μl. We think that the unique sensitivity of these primers is due to our long enough target which allows the software to give us the best possible primers.

Our recommendations for future studies include: 1. Using modified genome comparison method to identify diagnostic targets for other pathogens. 2. 5KST-PCR analysis on more and various clinical specimens. 3. Simultaneous comparison of 5KST-PCR with other PCR tests based on other targets to determine its efficiency. 4. Discovering the 5KST genes and their functions 5. Use of 5KST target in other diagnostic tests such as LAMP.

Abbreviations

LAMP:

loop-mediated isothermal amplification;

MTBC:

Mycobacterium tuberculosis complex

NCBI:

National Center for Biotechnology Information

NTM:

Nontuberculous Mycobacteria

PCR:

Polymerase Chain Reaction

TB-ARC:

Tuberculosis Antibiotic Resistance Catalog

References

  1. 1.

    ZHU DS, Zhou M, FAN YL, SHI XM. Identification of new target sequences for PCR detection of Vibrio parahaemolyticus by genome comparison. J Rapid Methods Autom Microbiol. 2009;17(1):67–79.

    CAS  Article  Google Scholar 

  2. 2.

    The top 10 causes of death [Internet]. World Health Organization. 2017. Available from: http://www.who.int/mediacentre/factsheets/fs310/en/.

  3. 3.

    Bojang AL, Mendy FS, Tientcheu LD, Otu J, Antonio M, Kampmann B, et al. Comparison of TB-LAMP, GeneXpert MTB/RIF and culture for diagnosis of pulmonary tuberculosis in the Gambia. J Inf Secur. 2016;72(3):332–7.

    Google Scholar 

  4. 4.

    Kivihya-Ndugga L, van Cleeff M, Juma E, Kimwomi J, Githui W, Oskam L, et al. Comparison of PCR with the routine procedure for diagnosis of tuberculosis in a population with high Prevalences of tuberculosis and human immunodeficiency virus. J Med Microbiol. 2004;42(3):1012–5.

    CAS  Google Scholar 

  5. 5.

    Raj A, Singh N, Gupta KB, Chaudhary D, Yadav A, Chaudhary A, et al. Comparative evaluation of several gene targets for designing a multiplex-PCR for an early diagnosis of Extrapulmonary tuberculosis. Yonsei Med J. 2016;57(1):88–96.

    CAS  Article  Google Scholar 

  6. 6.

    Mehta PK, Raj A, Singh N, Khuller GK. Diagnosis of extrapulmonary tuberculosis by PCR. FEMS Immunol Med Microbiol. 2012;66(1):20–36.

    CAS  Article  Google Scholar 

  7. 7.

    Sharma K, Gupta N, Sharma A, Singh G, Gupta PK, Rajwanshi A, et al. Multiplex polymerase chain reaction using insertion sequence 6110 (IS6110) and mycobacterial protein fraction from BCG of Rm 0.64 in electrophoresis target genes for diagnosis of tuberculous lymphadenitis. Indian J Med Microbiol. 2013;31(1):24–8.

    CAS  Article  Google Scholar 

  8. 8.

    Eisenach KD, Donald Cave M, Bates JH, Crawford JT. Polymerase chain reaction amplification of a repetitive DNA sequence specific for Mycobacterium tuberculosis. J Infect Dis. 1990;161(5):977–81.

    CAS  Article  Google Scholar 

  9. 9.

    Haldar S, Bose M, Chakrabarti P, Daginawala HF, Harinath BC, Kashyap RS, et al. Improved laboratory diagnosis of tuberculosis--the Indian experience. Tuberculosis (Edinburgh, Scotland). 2011;91(5):414–26.

    Article  Google Scholar 

  10. 10.

    Bessetti J. An introduction to PCR inhibitors. J Microbiol Methods. 2007;28:159–67.

    Google Scholar 

  11. 11.

    Wilson IG. Inhibition and facilitation of nucleic acid amplification. Appl Environ Microbiol. 1997;63(10):3741.

    CAS  PubMed Central  PubMed  Google Scholar 

  12. 12.

    Nolte FS, Metchock B, McGowan J, Edwards A, Okwumabua O, Thurmond C, et al. Direct detection of Mycobacterium tuberculosis in sputum by polymerase chain reaction and DNA hybridization. J Clin Microbiol. 1993;31(7):1777–82.

    CAS  PubMed Central  PubMed  Google Scholar 

  13. 13.

    Döşkaya M, Caner A, Değirmenci A, Wengenack NL, Yolasığmaz A, Turgay N, et al. Degree and frequency of inhibition in a routine real-time PCR detecting pneumocystis jirovecii for the diagnosis of pneumocystis pneumonia in Turkey. J Med Microbiol. 2011;60(7):937–44.

    Article  Google Scholar 

  14. 14.

    Jr C, Shawar RM, Shinnick TM, Plikaytis BB. Large-scale use of polymerase chain reaction for detection of Mycobacterium tuberculosis in a routine mycobacteriology laboratory. J Clin Microbiol. 1993;31(8):2049–56.

    Google Scholar 

  15. 15.

    Chou Q, Russell M, Birch DE, Raymond J, Bloch W. Prevention of pre-PCR mis-priming and primer dimerization improves low-copy-number amplifications. Nucleic Acids Res. 1992;20(7):1717–23.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Afghani B, Stutman HR. Polymerase chain reaction for diagnosis ofM. Tuberculosis:comparison of simple boiling and a conventional method for DNA extraction. Biochem Mol Med. 1996;57(1):14–8.

    CAS  Article  Google Scholar 

  17. 17.

    Lok KH, Benjamin WH Jr, Kimerling ME, Pruitt V, Lathan M, Razeq J, et al. Molecular differentiation of Mycobacterium tuberculosis strains without IS6110 insertions. Emerg Infect Dis. 2002;8(11):1310.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Nimesh M, Joon D, Pathak AK, Saluja D. Comparative study of diagnostic accuracy of established PCR assays and in-house developed sdaA PCR method for detection of Mycobacterium tuberculosis in symptomatic patients with pulmonary tuberculosis. J Inf Secur. 2013;67(5):399–407.

    Google Scholar 

  19. 19.

    Manson AL, Cohen KA, Abeel T, Desjardins CA, Armstrong DT, Barry CE III, et al. Genomic analysis of globally diverse Mycobacterium tuberculosis strains provides insights into the emergence and spread of multidrug resistance. Nat Genet. 2017;49(3):395.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Rychlik W. OLIGO 7 primer analysis software. Methods Mol Biol. 2007:35–59.

  21. 21.

    Parish T, Stoker NG. Mycobacterium tuberculosis protocols: Springer Science & Business Media; 2001.

    Google Scholar 

  22. 22.

    Aziz MM, Khan AY, Hasan KN, Azad Khan AK, Hassan MS. Comparison between IS6110 and MPB64 primers for the diagnosis of Mycobacterium tuberculosis in Bangladesh by polymerase chain reaction (PCR). Bangladesh Med Res Counc Bull. 2004;30(3):87–94.

    CAS  Google Scholar 

  23. 23.

    Tripathi K, Tripathi PC, Nema S, Shrivastava AK, Dwiwedi K, Dhanvijay AK. Modified Petroff’s method: an excellent simplified decontamination technique in comparison with Petroff’s method. Int J Recent Trends Sci Tech. 2014;10:461–4.

    Article  Google Scholar 

  24. 24.

    Simmon KE, Steadman DD, Durkin S, Baldwin A, Jeffrey WH, Sheridan P, et al. Autoclave method for rapid preparation of bacterial PCR-template DNA. J Microbiol Methods. 2004;56(2):143–9.

    CAS  Article  Google Scholar 

  25. 25.

    Lönnroth K, Migliori GB, Abubakar I, D'Ambrosio L, De Vries G, Diel R, et al. Towards tuberculosis elimination: an action framework for low-incidence countries. Eur Respir J. 2015;45(4):928–52.

    PubMed Central  PubMed  Google Scholar 

  26. 26.

    Aslanzadeh J, de la Viuda M, Fille M, Smith WB, Namdari H. Comparison of culture and acid-fast bacilli stain to PCR for detection of Mycobacterium tuberculosis in clinical samples. Mol Cell Probes. 1998;12(4):207–11.

    CAS  Article  Google Scholar 

  27. 27.

    Organization WH. Definitions and reporting framework for tuberculosis–2013 revision. 2013.

    Google Scholar 

  28. 28.

    Narotam S, Veena S, Ch NS, Raj SP, Kushwaha RS, Shivani S, et al. Conventional PCR usage for the detection of Mycobacterium Tuberculosis complex in Cerebrospinal Fluid by MPB64-Target PCR. Int J Drug Dev & Res. 2012;4(4):206–210.

  29. 29.

    Amita J, Vandana T, Guleria R, Verma R. Qualitative evaluation of mycobacterial DNA extraction protocols for polymerase chain reaction. Mol Biol Today. 2002;3(2):43–9.

    CAS  Google Scholar 

  30. 30.

    Sankar S, Kuppanan S, Balakrishnan B, Nandagopal B. Analysis of sequence diversity among IS6110 sequence of Mycobacterium tuberculosis: possible implications for PCR based detection. Bioinformation. 2011;6(7):283–5.

    Article  PubMed  Google Scholar 

  31. 31.

    Thierry D, Cave M, Eisenach K, Crawford J, Bates J, Gicquel B, et al. IS6110, an IS-like element of Mycobacterium tuberculosis complex. Nucleic Acids Res. 1990;18(1):188.

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Tumwasorn S, Kwanlertjit S, Mokmued S, Charoenlap P. Comparison of DNA targets for amplification by polymerase chain reaction for detection of Mycobacterium tuberculosis in sputum. J Med Assoc Thai. 1996;79(Suppl 1):S113–8.

    Google Scholar 

  33. 33.

    Haldar S, Sharma N, Gupta V, Tyagi JS. Efficient diagnosis of tuberculous meningitis by detection of Mycobacterium tuberculosis DNA in cerebrospinal fluid filtrates using PCR. J Med Microbiol. 2009;58(5):616–24.

    CAS  Article  Google Scholar 

  34. 34.

    Rafi W, Venkataswamy MM, Ravi V, Chandramuki A. Rapid diagnosis of tuberculous meningitis: a comparative evaluation of in-house PCR assays involving three mycobacterial DNA sequences, IS6110, MPB-64 and 65 kDa antigen. J Neurol Sci. 2007;252(2):163–8.

    CAS  Article  Google Scholar 

  35. 35.

    Asthana AK, Madan M. Study of target gene IS 6110 and MPB 64 in diagnosis of pulmonary tuberculosis. Int J Curr Microbiol Appl Sci. 2015;4(8):856–63.

    CAS  Google Scholar 

  36. 36.

    Haldar S, Chakravorty S, Bhalla M, De Majumdar S, Tyagi JS. Simplified detection of Mycobacterium tuberculosis in sputum using smear microscopy and PCR with molecular beacons. J Med Microbiol. 2007;56(10):1356–62.

    CAS  Article  Google Scholar 

  37. 37.

    Martins LC, Paschoal IA, Von Nowakonski A, Silva SA, Costa FF, Ward LS. Nested-PCR using MPB64 fragment improves the diagnosis of pleural and meningeal tuberculosis. Rev Soc Bras Med Trop. 2000;33(3):253–7.

    CAS  Article  Google Scholar 

  38. 38.

    Aryal R, Sah AK, Paudel DS, Joshi B, Lekhak SP, Rajbhandari R, et al. Polymerase chain reaction using the MPB64 fragment for detection of Mycobacterium tuberculosis complex DNA in suspected TB cases. Int J Med Sci Public Heal. 2014;3:1.

    Article  Google Scholar 

  39. 39.

    Mycobacterium tuberculosis H37Rv complete genome [Internet]. The National Center for Biotechnology Information 2015. Available from: https://www.ncbi.nlm.nih.gov/nuccore/AL123456.3?from=2223343&to=2224029.

  40. 40.

    Kim B-J, Hong S-K, Lee K-H, Yun Y-J, Kim E-C, Park Y-G, et al. Differential identification of Mycobacterium tuberculosis complex and nontuberculous mycobacteria by duplex PCR assay using the RNA polymerase gene (rpoB). J Med Microbiol. 2004;42(3):1308–12.

    CAS  Google Scholar 

  41. 41.

    Yang S, Zhong M, Zhang Y, Wang Y. Rapid detection of rpoB and katG genes from the sputum of multidrug-resistant Mycobacterium tuberculosis by polymerase chain reaction (PCR)-direct sequencing analysis. Afr J Microbiol Res. 2011;5(26):4519–23.

    CAS  Google Scholar 

  42. 42.

    Li J, Xin J, Zhang L, Jiang L, Cao H, Li L. Rapid detection of rpoB mutations in rifampin resistant M. tuberculosis from sputum samples by denaturing gradient gel electrophoresis. Int J Med Sci. 2012;9(2):148.

    Article  PubMed  Google Scholar 

  43. 43.

    Kataria P, Kumar A, Bansal R, Sharma A, Gupta V, Gupta A, et al. devR PCR for the diagnosis of intraocular tuberculosis. Ocul Immunol Inflamm. 2015;23(1):47–52.

    CAS  Article  Google Scholar 

  44. 44.

    Dasgupta N, Kapur V, Singh K, Das T, Sachdeva S, Jyothisri K, et al. Characterization of a two-component system, devR-devS, of Mycobacterium tuberculosis. Tuber Lung Dis. 2000;80(3):141–59.

    CAS  Article  Google Scholar 

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Availability of data and materials

All data generated or analysed during this study are included in this published article [and its Additional file 1].

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Affiliations

  1. Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

    Alireza Neshani, Reza Kamali Kakhki, Hosna Zare, Amin Hooshyar Chichaklu, Mahsa Sayyadi & Kiarash Ghazvini

  2. Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran

    Alireza Neshani

  3. Immunology Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

    Mojtaba Sankian

  4. Department of Microbiology and Virology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

    Kiarash Ghazvini

Authors
  1. Alireza Neshani
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  2. Reza Kamali Kakhki
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  3. Mojtaba Sankian
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  4. Hosna Zare
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  5. Amin Hooshyar Chichaklu
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Contributions

AN, KG, RKK, MS contributed in the study design and target finding. AN designed the primers. AN, RKK, HZ, AH, Ma.S collected and evaluated the clinical specimens. AN, HZ wrote the manuscript. All authors approved the final version of the paper.

Corresponding author

Correspondence to Kiarash Ghazvini.

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Ethics approval and consent to participate

The ethical approval for performing this study was obtained from the Ethics Committee of the Mashhad University of Medical Sciences (Ethics code of IR.mums.fm.rec.1397.143) and written informed consent was obtained from participants.

Competing interests

The authors declare that they have no competing interests.

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Additional file

Additional file 1:

Table S1. Investigating the presence of rpoB and 5KST diagnostic targets in M. tuberculosis complete genomes registered in nucleotide collection database (a part of NCBI). Table S2. Investigating the presence of 5KST sequence in strains collected from different parts of the world (TB Antibiotic Resistance Catalog project: https://olive.broadinstitute.org/projects/tb_arc/tree). Figure S1. Gel electrophoresis of 5KST-PCR products. It shows target amplicons at different concentrations of M. tuberculosis H37Rv genomic DNA spiked in processed clinical specimen as the template. (DOCX 250 kb)

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Neshani, A., Kamali Kakhki, R., Sankian, M. et al. Modified genome comparison method: a new approach for identification of specific targets in molecular diagnostic tests using Mycobacterium tuberculosis complex as an example. BMC Infect Dis 18, 517 (2018). https://doi.org/10.1186/s12879-018-3417-x

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Keywords

  • Mycobacterium tuberculosis complex
  • PCR
  • Genome comparison method
  • Specific target
  • 5KST

BMC Infectious Diseases

ISSN: 1471-2334

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