A new method for detection of pandemic influenza virus using High Resolution Melting analysis of the neuraminidase gene

Detection of SARS-CoV-2 spike protein D614G mutation by qPCR-HRM analysis

OBJECTIVES

Monitoring the spread of the G614 in specific locations is critical as this variant is highly transmissible and can trigger the emergence of other mutations. Therefore, a rapid and accurate method that can reliably detect the D614G mutation will be beneficial. This study aims to analyze the potential use of the two-step Reverse Transcriptase quantitative polymerase chain reaction - high resolution melting analysis (RT-qPCR-HRM) to detect a specific mutation in the SARS-CoV-2 genome.

METHODS

Six SARS-CoV-2 RNA samples were synthesized into cDNA and analyzed with the qPCR-HRM method in order to detect the D614G mutation in Spike protein of SARS-CoV-2. The primers are designed to target the specific Spike region containing the D614G mutation. The qPCR-HRM analysis was conducted simultaneously, and the identification of the SARS-CoV-2 variant was confirmed by conventional PCR and Sanger sequencing methods.

RESULTS

The results showed that the melting temperature (Tm) of the D614 variant was 79.39 ± 0.03 °C, which was slightly lower than the Tm of the G614 variant (79.62 ± 0.015 °C). The results of the HRM analysis, visualized by the normalized melting curve and the difference curve were able to discriminate the D614 and G614 variant samples. All samples were identified as G614 variants by qPCR-HRM assay, which was subsequently confirmed by Sanger sequencing.

CONCLUSIONS

This study demonstrated a sensitive method that can identify the D614G mutation by a simple two-step RT-qPCR-HRM assay procedure analysis, which can be useful for active surveillance of the transmission of a specific mutation.

Characterization of influenza A(H1N1)pdm09 isolates of Peru using HRM, a post PCR molecular biology method

Influenza caused by A(H1N1)pdm09 is a public health issue with severe conditions in vulnerable populations leading to death. Therefore, it is of interest to characterize and monitor influenza A(H1N1)pdm09 genotypes using High Resolution Melting (HRM), a post PCR molecular biology method. We used HRM analysis (using RotorGene Q thermocycler) to characterize A(H1N1)pdm09 genotypes from several places of Peru. RNA was purified from nasal and pharyngeal swab samples referred to LRNVR-INS, synthesized cDNA, and then the hemagglutinin gene and matrix fragment were amplified. Thus, 287 samples positive for influenza A(H1N1)pdm09 were identified across Peru where places like Lima, Piura, and Arequipa documented highest number of cases. The HRM data was analyzed and results showed different profiles which were further grouped into four genotypes for the HA (A, B, C, D) and 3 for the M (a, b, c) genes. We also report ten genotypes (I-X) of virus using combined HA (hemagglutinin) and M gene profiles representing a national geography. The prevalent genotypes are I and II with a frequency of 35.89% (103) and 29.27% (84), respectively linking with severe acute respiratory infection.

High-resolution melting analysis: A novel approach for clade differentiation in Pythium insidiosum and pythiosis

Pythium insidiosum causes life-threatening human pythiosis. Based on phylogenetic analysis using internal transcribed spacer (ITS) region, mitochondrial cytochrome C oxidase II (COX2) gene, intergenic spacer (IGS) region and exo-1,3-β-glucanase gene (exo1), P. insidiosum is classified into clade ATH, BTH, and CTH related to geographic distribution. At present, polymerase chain reaction in any of these specific regions with DNA sequencing is the only technique to provide clade diagnosis. In this study, P. insidiosum-specific primers targeting COX2 gene were designed and used in real-time quantitative polymerase chain reaction (qPCR) with subsequent high-resolution melting (HRM) to provide rapid identification as well as clade classification for P. insidiosum. Based on the qPCR-HRM method, 15 P. insidiosum isolates could be differentiated from 28 related organisms with 100% specificity and 1 pg limit of detection. This technique was, in addition, directly tested on clinical samples from proved human pythiosis cases: nine corneal scrapes and six arterial clots. The qPCR-HRM results of all nine corneal samples were a 100% match with the results from the conventional PCR at clade level. However, the qPCR-HRM results of arterial clot samples were only matched with the nucleotide sequencing results from the conventional PCR at species level. In conclusion, the qPCR-HRM is a simple one closed tube, inexpensive and user-friendly method to identify P. insidiosum into clade level.

The use of real-time polymerase chain reaction with high resolution melting (real-time PCR-HRM) analysis for the detection and discrimination of nematodes Bursaphelenchus xylophilus and Bursaphelenchus mucronatus

The real-time PCR-HRM analysis was developed for the detection and discrimination of the quarantine nematode Bursaphelenchus xylophilus and Bursaphelenchus mucronatus. A set of primers was designed to target the ITS region of rDNA. The results have demonstrated that this analysis is a valuable tool for differentiation of these both species.

Molecular diagnosis of respiratory viruses

The increasing availability of nucleic acid amplification tests since the 1980s has revolutionised our understanding of the pathogenesis, epidemiology, clinical and laboratory aspects of known and novel viral respiratory pathogens. High-throughput, multiplex polymerase chain reaction is the most commonly used qualitative detection method, but utilisation of newer techniques such as next-generation sequencing will become more common following significant cost reductions. Rapid and readily accessible isothermal amplification platforms have also allowed molecular diagnostics to be used in a ‘point-of-care’ format. This review focuses on the current applications and limitations of molecular diagnosis for respiratory viruses.

High resolution melting analysis: rapid and precise characterisation of recombinant influenza A genomes

Background

High resolution melting analysis (HRM) is a rapid and cost-effective technique for the characterisation of PCR amplicons. Because the reverse genetics of segmented influenza A viruses allows the generation of numerous influenza A virus reassortants within a short time, methods for the rapid selection of the correct recombinants are very useful.

Methods

PCR primer pairs covering the single nucleotide polymorphism (SNP) positions of two different influenza A H5N1 strains were designed. Reassortants of the two different H5N1 isolates were used as a model to prove the suitability of HRM for the selection of the correct recombinants. Furthermore, two different cycler instruments were compared.

Results

Both cycler instruments generated comparable average melting peaks, which allowed the easy identification and selection of the correct cloned segments or reassorted viruses.

Conclusions

HRM is a highly suitable method for the rapid and precise characterisation of cloned influenza A genomes.

High-resolution melting analysis allowed fast and accurate closed-tube genotyping of Fusarium oxysporum formae speciales complex

The fungus Fusarium oxysporum is a highly complex species composed by many strains put together into groups called formae speciales. As it is difficult and laborious to discriminate Fusarium formae specials via biochemical or phenotypic methods, it is very important to develop novel, rapid, and simple to perform identification methods. Herein, real-time PCR assay [using universal internal transcribed spacer (ITS) primers] coupled with high-resolution melting (HRM) analysis was developed for identifying and distinguishing F. oxysporum formae speciales complex. The melting curve analysis of these amplicons specifically classified all isolates into seven F. oxysporum formae speciales and generated seven HRM curve profiles. The smallest DNA sequence difference recognized in this study was one nucleotide. The results presented show that HRM curve analysis of Fusarium ITS sequences is a simple, quick, and reproducible method that allows both the identification of seven F. oxysporum formae speciales and at the same time their screening for variants. Our genotyping assay uses the combined information of simultaneously acquired HRM data from an unlabeled probe and the full-length amplicon. Finally, the completion of both reaction and analysis in a closed tube saves time by eliminating the separate steps and reduces the risk of contamination.

The potential of high resolution melting analysis (hrma) to streamline, facilitate and enrich routine diagnostics in medical microbiology

BACKGROUND

Routine medical microbiology diagnostics relies on conventional cultivation followed by phenotypic techniques for identification of pathogenic bacteria and fungi. This is not only due to tradition and economy but also because it provides pure culture needed for antibiotic susceptibility testing. This review focuses on the potential of High Resolution Melting Analysis (HRMA) of double-stranded DNA for future routine medical microbiology.

METHODS AND RESULTS

Search of MEDLINE database for publications showing the advantages of HRMA in routine medical microbiology for identification, strain typing and further characterization of pathogenic bacteria and fungi in particular. The results show increasing numbers of newly-developed and more tailor-made assays in this field. For microbiologists unfamiliar with technical aspects of HRMA, we also provide insight into the technique from the perspective of microbial characterization.

CONCLUSIONS

We can anticipate that the routine availability of HRMA in medical microbiology laboratories will provide a strong stimulus to this field. This is already envisioned by the growing number of medical microbiology applications published recently. The speed, power, convenience and cost effectiveness of this technology virtually predestine that it will advance genetic characterization of microbes and streamline, facilitate and enrich diagnostics in routine medical microbiology without interfering with the proven advantages of conventional cultivation.

Improving influenza virus detection

INTRODUCTION

Influenza virus infections cause significant morbidity, and the unique ability of these viruses to undergo antigenic drift and shift means that it is critical for current laboratory assays to keep pace with these changes for accurate diagnosis. New subtypes have the potential to evolve into pandemics hence accurate virus subtyping is also essential.

AREAS COVERED

In this article, the authors review the current techniques available to detect influenza virus.

EXPERT OPINION

The biggest gains in improving on influenza diagnostics may lie in reappraising our current approach and optimizing all existing steps in influenza detection: pre-analytical, analytical, post-analytical. In addition, we must foster close collaboration between governments, surveillance networks and frontline diagnostic laboratories, and utilize advances in information technology to facilitate these interactions and to disseminate crucial information.

Rapid detection of the H275Y oseltamivir resistance mutation in influenza A/H1N1 2009 by single base pair RT-PCR and high-resolution melting

Introduction

We aimed to design a real-time reverse-transcriptase-PCR (rRT-PCR), high-resolution melting (HRM) assay to detect the H275Y mutation that confers oseltamivir resistance in influenza A/H1N1 2009 viruses.

Findings

A novel strategy of amplifying a single base pair, the relevant SNP at position 823 of the neuraminidase gene, was chosen to maintain specificity of the assay. Wildtype and mutant virus were differentiated when using known reference samples of cell-cultured virus. However, when dilutions of these reference samples were assayed, amplification of non-specific primer-dimer was evident and affected the overall melting temperature (T_m) of the amplified products. Due to primer-dimer appearance at >30 cycles we found that if the cycle threshold (C_T) for a dilution was >30, the HRM assay did not consistently discriminate mutant from wildtype. Where the C_T was <30 we noted an inverse relationship between C_T and T_m and fitted quadratic curves allowed the discrimination of wildtype, mutant and 30∶70 mutant∶wildtype virus mixtures. We compared the C_T values for a TaqMan H1N1 09 detection assay with those for the HRM assay using 59 clinical samples and demonstrated that samples with a TaqMan detection assay C_T>32.98 would have an H275Y assay C_T>30. Analysis of the TaqMan C_T values for 609 consecutive clinical samples predicted that 207 (34%) of the samples would result in an HRM assay C_T>30 and therefore not be amenable to the HRM assay.

Conclusions

The use of single base pair PCR and HRM can be useful for specifically interrogating SNPs. When applied to H1N1 09, the constraints this placed on primer design resulted in amplification of primer-dimer products. The impact primer-dimer had on HRM curves was adjusted for by plotting T_m against C_T. Although less sensitive than TaqMan assays, the HRM assay can rapidly, and at low cost, screen samples with moderate viral concentrations.

Nationwide surveillance of 18 respiratory viruses in patients with influenza-like illnesses: a pilot feasibility study in the French Sentinel Network

The aim of the present study was to test the feasibility of integrating the diagnosis of 18 respiratory viruses into clinical surveillance of influenza‐like illness using a PCR‐DNA microarray detection assay. The study took place in the French Sentinel Network, a nationwide surveillance network of General Practitioners (GPs) representative of French GPs in terms age, location, and type of practice (urban/rural). Three virological laboratories also participated in the study. The study was planned for 5 weeks from January 25, 2010 to February 27, 2010. A subset of 150 Sentinel GPs, located in mainland France, was enrolled to collect clinical data and nasopharyngeal samples from every first patient of the week having a medical visit for influenza‐like illness defined as a sudden fever of 39°C or more with respiratory symptoms and myalgia. Sixty‐three GPs (42%) collected 103 samples while 87 GPs (58%) did not. GPs did not differ with respect to their age, gender, urban/rural distribution, or years of inscription in the Sentinel Network. Patients included were of a similar age and had similar vaccination characteristics, but were more frequently men than influenza‐like illness patients reported to the network during the study period. Sixty‐one viruses were detected from 56 of 96 (58%) interpretable samples. The respiratory viruses detected most frequently were metapneumovirus and respiratory syncytial virus. This study showed that virological diagnosis of 18 respiratory viruses can be combined with surveillance of clinical influenza‐like illness in general practice. Although feasibility has not been demonstrated yet, it will be evaluated over the winter of 2010–2011. J. Med. Virol. 83:1451–1457, 2011. © 2011 Wiley‐Liss, Inc.