High-resolution Melting Curve Analysis Research Articles

High-resolution melt curve analysis: An approach for variant detection in the TPO gene of congenital hypothyroid patients in Bangladesh.

TPO (Thyroid Peroxidase) is known to be one of the major genes involved in congenital hypothyroid patients with thyroid dyshormonogenesis. The present study aims to validate high-resolution melting (HRM) curve analysis as a substitute method for Sanger sequencing, focusing on the frequently observed non-synonymous mutations c.1117G>T, c.1193G>C, and c.2173A>C in the TPO gene in patients from Bangladesh. We enrolled 36 confirmed cases of congenital hypothyroid patients with dyshormonogenesis to establish the HRM method. Blood specimens were collected, and DNA was extracted followed by PCR and Sanger sequencing. Among the 36 specimens, 20 were pre-sequenced, and variants were characterized through Sanger sequencing. Following pre-sequencing, the 20 pre-sequenced specimens underwent real-time PCR-HRM curve analysis to determine the proper HRM condition for separating the three variations from the wild-type state into heterozygous and homozygous states. Furthermore, 16 unknown specimens were subjected to HRM analysis to validate the method. This method demonstrated a sensitivity and specificity of 100 percent in accurately discerning wild-type alleles from both homozygous and heterozygous states of c.1117G>T (23/36; 63.8%), c.1193G>C (30/36; 83.3%), and c.2173A>C (23/36; 63.8%) variants frequently encountered among 36 Bangladeshi patients. The HRM data was found to be similar to the sequencing result, thus confirming the validity of the HRM approach for TPO gene variant detection. In conclusion, HRM-based molecular technique targeting variants c.1117G>T, c.1193G>C, and c.2173A>C could be used as a high throughput, rapid, reliable, and cost-effective screening approach for the detection of all common mutations in TPO gene in Bangladeshi patients with dyshormonogenesis.

High-resolution melting real-time PCR assays for subtyping of five diarrheagenic Escherichia coli by a single well in milk

Diarrheagenic Escherichia coli (DEC) is a kind of foodborne pathogen that poses a significant threat to both food safety and human health. To address the current challenges of high prevalence and difficult subtyping of DEC, this study developed a method that combined multiplex polymerase chain reaction (PCR) with high resolution melting (HRM) analysis for subtyping 5 kinds of DEC. The target genes are amplified by multiplex PCR in a single well, and HRM curve analysis was applied for distinct amplicons based on different melting temperature (Tm) values. The method enables discrimination of different DEC types based on characteristic peaks and distinct Tm values in the thermal melting curve. The assay exhibited 100% sensitivity and 100% specificity with a detection limit of 0.5-1 ng/μL. The results showed that different DNA concentrations did not influence the subtyping results, demonstrating this method owed high reliability and stability. In addition, the method was also used for the detection and subtyping of DEC in milk. This method streamlines operational procedures, shorts the detection time, and offers a novel tool for subtyping DEC.

Genetic analysis and molecular basis of G6PD deficiency among malaria patients in Thailand: implications for safe use of 8-aminoquinolines.

It was hypothesized that glucose-6-phosphate dehydrogenase (G6PD) deficiency confers a protective effect against malaria infection, however, safety concerns have been raised regarding haemolytic toxicity caused by radical cure with 8-aminoquinolines in G6PD-deficient individuals. Malaria elimination and control are also complicated by the high prevalence of G6PD deficiency in malaria-endemic areas. Hence, accurate identification of G6PD deficiency is required to identify those who are eligible for malaria treatment using 8-aminoquinolines. The prevalence of G6PD deficiency among 408 Thai participants diagnosed with malaria by microscopy (71), and malaria-negative controls (337), was assessed using a phenotypic test based on water-soluble tetrazolium salts. High-resolution melting (HRM) curve analysis was developed from a previous study to enable the detection of 15 common missense, synonymous and intronic G6PD mutations in Asian populations. The identified mutations were subjected to biochemical and structural characterisation to understand the molecular mechanisms underlying enzyme deficiency. Based on phenotypic testing, the prevalence of G6PD deficiency (< 30% activity) was 6.13% (25/408) and intermediate deficiency (30-70% activity) was found in 15.20% (62/408) of participants. Several G6PD genotypes with newly discovered double missense variants were identified by HRM assays, including G6PD Gaohe + Viangchan, G6PD Valladolid + Viangchan and G6PD Canton + Viangchan. A significantly high frequency of synonymous (c.1311C>T) and intronic (c.1365-13T>C and c.486-34delT) mutations was detected with intermediate to normal enzyme activity. The double missense mutations were less catalytically active than their corresponding single missense mutations, resulting in severe enzyme deficiency. While the mutations had a minor effect on binding affinity, structural instability was a key contributor to the enzyme deficiency observed in G6PD-deficient individuals. With varying degrees of enzyme deficiency, G6PD genotyping can be used as a complement to phenotypic screening to identify those who are eligible for 8-aminoquinolines. The information gained from this study could be useful for management and treatment of malaria, as well as for the prevention of unanticipated reactions to certain medications and foods in the studied population.

Development of molecular identification methods for Dryophytes suweonensis and D. japonicus, and their hybrids.

As hybridization can reduce biodiversity or cause extinction, it is important to identify both purebred parental species and their hybrids prior to conserving them. The Suwon tree frog, Dryophytes suweonensis, is an endangered wildlife species in Korea that shares its habitat and often hybridizes with the Japanese tree frog, D. japonicus. In particular, D. suweonensis, D. japonicus, and their hybrids often have abnormal ovaries and gonads, which are known causes that could threaten their existence. We collected 57 individuals from six localities where D. suweonensis is known to be present. High-resolution melting curve (HRM) analysis of the mitochondrial 12S ribosomal RNA gene was performed to determine the maternal species. Thereafter, the DNA sequences of five nuclear genes (SIAH, TYR, POMC, RAG1, and C-MYC) were analyzed to determine their parental species and hybrid status. The HRM analysis showed that the melting temperature of D. suweonensis was in the range of 79.0-79.3°C, and that of D. japonicus was 77.7-78.0°C, which clearly distinguished the two tree frog species. DNA sequencing of the five nuclear genes revealed 37 single-nucleotide polymorphism (SNP) sites, and STRUCTURE analysis showed a two-group structure as the most likely grouping solution. No heterozygous position in the purebred parental sequences with Q values ≥ 0.995 were found, which clearly distinguished the two treefrog species from their hybrids; 11 individuals were found to be D. suweonensis, eight were found to be D. japonicus, and the remaining 38 individuals were found to be hybrids. Thus, it was possible to unambiguously identify the parental species and their hybrids using HRM analysis and DNA sequencing methods. This study provided fundamental information for D. suweonensis conservation and restoration research.

Direct Detection of Fluoroquinolone Resistance in Sputum Samples from Tuberculosis Patients by High Resolution Melt Curve Analysis.

Multidrug-resistant tuberculosis (MDR-TB) requires treatment with fluoroquinolone (FLQ) drugs, however, the excessive use of FLQ has led to the rise of extensively drug-resistant TB. In 2019, ~ 20% of total MDR-TB cases were estimated to be resistant to FLQ drugs. In the present study, we developed and evaluated the utility of high-resolution melt curve analysis (HRM) for the rapid detection of FLQ-resistant Mycobacterium tuberculosis for the first time directly from sputum samples. A reference plasmid library was generated for the most frequently observed mutations of gyrA gene and was used to discriminate between mutant and wild-type samples in the FLQ-HRM assay. The developed assay was evaluated on n = 25 MDR M. tuberculosis clinical isolates followed by validation on archived sputum DNA (n = 88) using DNA sequencing as a gold standard. The FLQ-HRM assay showed a 100% sensitivity [95% Confidence Interval (CI): 71.5 to 100] and specificity (95% CI: 39.7 to 100) in smear-positive category, and a sensitivity of 88.9% (95% CI: 77.3 to 95.8) with 84.2% (95% CI: 60.4 to 96.6) specificity in smear-negative category. The assay showed a high level of concordance of ~ 90% (κ = 0.74) with DNA sequencing, however, we were limited by the absence of phenotypic drug susceptibility testing data. In conclusion, HRM is a rapid, cost-effective (INR150/USD1.83) and closed-tube method for direct detection of FLQ resistance in sputum samples including direct smear-negative samples.

A rapid molecular diagnostic tool to discriminate alleles of avirulence genes and haplotypes of Phytophthora sojae using high-resolution melting analysis.

Effectors encoded by avirulence genes (Avr) interact with the Phytophthora sojae resistance gene (Rps) products to generate incompatible interactions. The virulence profile of P. sojae is rapidly evolving as a result of the large-scale deployment of Rps genes in soybean. For a successful exploitation of Rps genes, it is recommended that soybean growers use cultivars containing the Rps genes corresponding to Avr genes present in P. sojae populations present in their fields. Determination of the virulence profile of P. sojae isolates is critical for the selection of soybean cultivars. High-resolution melting curve (HRM) analysis is a powerful tool, first applied in medicine, for detecting mutations with potential applications in different biological fields. Here, we report the development of an HRM protocol, as an original approach to discriminate effectors, to differentiate P. sojae haplotypes for six Avr genes. An HRM assay was performed on 24 P. sojae isolates with different haplotypes collected from soybean fields across Canada. The results clearly confirmed that the HRM assay discriminated different virulence genotypes. Moreover, the HRM assay was able to differentiate multiple haplotypes representing small allelic variations. HRM-based prediction was validated by phenotyping assays. This HRM assay provides a unique, cost-effective and efficient tool to predict virulence pathotypes associated with six different Avr (1b, 1c, 1d, 1k, 3a and 6) genes from P. sojae, which can be applied in the deployment of appropriate Rps genes in soybean fields.

Geographical Distribution and Multimethod Species Identification of Forensically Important Necrophagous Flies on Hainan Island.

Forensic entomology offers unique advantages for the minimum postmortem interval (PMImin) estimation of decomposed corpses in forensic investigations. Accurate species identification and up-to-date locality information are essential. Hainan Island has a tropical rainforest climate and a vast territory. In this study, the community structure of necrophagous flies on Hainan Island was investigated in detail according to geographical environment. The results showed that the dominant species included C. megacephala, S. peregrina, C. rufifacies, S. misera, H. ligurriens, S. sericea, S. cinerea, S. dux, C. pinguis, and M. domestica. Furthermore, C. rufifacies and C. villeneuvi were found only in the high-altitude areas of Wuzhi Mountain, while S. cinerea was distributed only in coastal areas; the latter is a representative species of Hainan Island and has not been reported before. Furthermore, a GenBank database of forensically important flies was established, whilst a high-resolution melt (HRM) curve analysis was applied to identify the common species of Hainan Island for the first time. This study enriches the database of forensically important flies in tropical rainforest regions.

Visual single nucleotide polymorphism (SNP) detection for ALDH2 genotyping based on multiplex ligation probe amplification (MLPA) and lateral flow assay

Current techniques for single nucleotide polymorphism (SNP) detection require laborious experimental procedures, expensive and sophisticated instruments, as well as complex data analysis, which make it difficult to meet the demand for routine clinical laboratories or point of care testing (POCT). In this study, the authors propose a reliable and cost-effective method by integrating multiplex ligation probe amplification (MLPA) and gold nanoparticles (AuNPs)-based lateral flow assay (LFA) for visual detection of the ALDH2 gene rs671(G > A) polymorphism. The genotyping result can be easily observed with the naked eye within 5–10 min after loading the MLPA products on the LFA device. This system demonstrates high sensitivity with LOD down to 1 ng, meeting the requirement in clinical diagnostic. Furthermore, this method has been implemented in clinical practices to identify the genotypes of the ALDH2 gene. The results obtained from the MLPA-LFA, Sanger sequencing, and high-resolution melting (HRM) curve analysis demonstrate a perfect agreement rate of 100%. Compared to conventional genotyping assays, this system exhibits the following advantages, including visual interpretation of results, minimal requirements for sophisticated instruments and highly skilled technicians, time efficiency, as well as low cost with a price approximately at 5 dollars. We believe that the MLPA-LFA system is a robust and versatile method with the potential to detect other SNPs related to disease susceptibility and risk, as well as drug metabolism and therapeutic effects.

Quantitative Investigation of Methylation Heterogeneity by Digital Melting Curve Analysis on a SlipChip for Atrial Fibrillation.

Methylation is an essential epigenetic modification involved in regulating gene expression and maintaining genome stability. Methylation patterns can be heterogeneous, exhibiting variations in both level and density. However, current methods of methylation analysis, including sequencing, methylation-specific PCR, and high-resolution melting curve analysis (HRM), face limitations of high cost, time-consuming workflows, and the difficulty of both accurate heterogeneity analysis and precise quantification. Here, a droplet array SlipChip-based (da-SlipChip-based) digital melting curve analysis (MCA) method was developed for the accurate quantification of both methylation level (ratio of methylated molecules to total molecules) and methylation density (ratio of methylated CpG sites to total CpG sites). The SlipChip-based digital MCA system supplements an in situ thermal cycler with a fluorescence imaging module for real-time MCA. The da-SlipChip can generate 10,656 droplets of 1 nL each, which can be separated into four lanes, enabling the simultaneous analysis of four samples. This method's clinical application was demonstrated by analyzing samples from ten healthy individuals and twenty patients with atrial fibrillation (AF), the most common arrhythmia. This method can distinguish healthy individuals from those with AF of both the paroxysmal and persistent types. It also holds potential for broader application in various research and clinical settings requiring methylation analysis.

A novel multiplex qPCR‑HRM assay for the simultaneous detection of four abortive zoonotic agents in cattle, sheep, and goats

Abortifacient pathogens induce substantial economic losses in the livestock industry worldwide, and many of these pathogens are zoonotic, impacting human health. As Brucella spp., Coxiella burnetii, Leptospira spp., and Listeria monocytogenes cause abortion, rapid differential molecular diagnostic tests are needed to facilitate early and accurate detection of abortion to establish effective control measures. However, the available molecular methods are laborious, time-consuming, or costly. Therefore, we developed and validated a novel multiplex real-time polymerase chain reaction (qPCR) method based on high-resolution melting (HRM) curve analysis to simultaneously detect and differentiate four zoonotic abortifacient agents in cattle, goats, and sheep. Our HRM assay generated four well-separated melting peaks allowing the differentiation between the four zoonotic abortifacients. Out of 216 DNA samples tested, Brucella spp. was detected in 45 samples, Coxiella burnetii in 57 samples, Leptospira spp. in 12 samples, and Listeria monocytogenes in 19 samples, co-infection with Brucella spp. and Coxiella burnetii in 41 samples, and 42 samples were negative. This assay demonstrated good analytical sensitivity, specificity, and reproducibility. This is a valuable rapid, cost-saving, and reliable diagnostic tool for detecting individual and co-infections for zoonotic abortifacient agents in ruminants.

Development of High-Resolution Melting Curve Analysis for rapid detection of SEC23B gene mutation causing Congenital Dyserythropoietic Anemia type II in Indian population

BackgroundCongenital dyserythropoietic anemias (CDAs) are a very rare and heterogeneous group of disorders characterized by ineffective erythropoiesis. CDA II is caused by mutations in the SEC23B gene. The most common mutation reported in India is c.1385 A > G, p.Y462C. There is no simple and cost-effective confirmatory diagnostic test available for CDA, and therefore, many patients remain undiagnosed. High-resolution melting curve (HRM) analysis is a polymerase chain reaction (PCR) based technique applied to identify genetic differences and scan nucleic acid sequences. HRM can be used to rapidly screen the common mutation causing CDA II in the Indian population. Thus, we studied the use of High-Resolution Melting Curve Analysis to detect common mutation causing CDA II in the Indian population.Method11 patients having SEC23B (Y462C) mutation causing CDA II are considered for this study. HRM was used to check the presence of Y462C mutation. To verify the accuracy of the HRM analysis, we compared HRM results with the results of Sanger sequencing. This helped us to confirm the diagnosis.ResultsWe have described the clinical, hematological, and genetic data of eleven patients suffering from CDAII. According to HRM and Sanger sequencing, a homozygous SEC23B (Y462C) mutation was present in all patients, whereas a heterozygous Y462C mutation was present in their parents.ConclusionOur data showed that High-Resolution Melting (HRM) analysis could be used to rapidly screen common SEC23B mutation that causes CDA II in the Indian population.

Low-cost molecular methods to characterise gastrointestinal nematode co-infections of goats in Africa

BackgroundVeterinary diagnostics aid intervention strategies, track zoonoses, and direct selective breeding programs in livestock. In ruminants, gastrointestinal nematode (GIN) parasites are a major cause of production losses, but morphologically similar species limit our understanding of how specific GIN co-infections impact health in resource-limited settings. To estimate the presence and relative abundance of GINs and other helminths at the species level, we sought to develop a low-cost and low-resource molecular toolkit applied to goats from rural Malawi smallholdings.MethodsGoats were subjected to health scoring and faecal sampling on smallholdings in Lilongwe district, Malawi. Infection intensities were estimated by faecal nematode egg counts with a faecal subsample desiccated for DNA analysis. Two DNA extraction methods were tested (low-resource magbead kit vs high-resource spin-column kit), with resulting DNA screened by endpoint polymerase chain reaction (PCR), semi-quantitative PCR, quantitative PCR (qPCR), high-resolution melt curve analysis (HRMC), and ‘nemabiome’ internal transcribed spacer 2 (ITS-2) amplicon sequencing.ResultsBoth DNA isolation methods yielded comparable results despite poorer DNA purity and faecal contaminant carryover from the low-resource magbead method. GINs were detected in 100% of samples regardless of infection intensity. Co-infections with GINs and coccidia (Eimeria spp.) were present in most goats, with GIN populations dominated by Haemonchus contortus, Trichostrongylus colubriformis, Trichostrongylus axei, and Oesophagostomum columbianum. Both multiplex PCR and qPCR were highly predictive of GIN species proportions obtained using nemabiome amplicon sequencing; however, HRMC was less reliable than PCR in predicting the presence of particular species.ConclusionsThese data represent the first ‘nemabiome’ sequencing of GINs from naturally infected smallholder goats in Africa and show the variable nature of GIN co-infections between individual animals. A similar level of granularity was detected by semi-quantitative PCR methods, which provided an accurate summary of species composition.Assessing GIN co-infections is therefore possible using cost-efficient low-resource DNA extraction and PCR approaches that can increase the capacity of molecular resources in areas where sequencing platforms are not available; and also open the door to affordable molecular GIN diagnostics. Given the diverse nature of infections in livestock and wildlife, these approaches have potential for disease surveillance in other areas.Graphical

Single nucleotide polymorphism rs2234711 of interferon gamma receptor 1 is associated with pulmonary tuberculosis in the population of North India

Interferon-gamma (IFN-γ) is a pro-inflammatory cytokine playing essential role in immunity against tuberculosis (TB). IFN-γ performs function by binding to its receptor complex, consisting of two polypeptide chains viz. IFN-γ receptor 1 (IFN-γR1) and IFN-γ receptor 2 (IFN-γR2). Structural and functional deficiencies in IFN-γR1 can make individual vulnerable to even weak mycobacterial infections. Studies from different populations of the world have reported the association of single nucleotide polymorphisms (SNPs) present in IFNGR1 gene with TB, however, there are no such studies from India. Thus, the present study was designed to analyse the association of rs2234711 (C/T), rs7749390 (C/T) and rs1327475 (C/T) SNPs of IFNGR1 with TB in the population of North India. For the present study, 263 TB patients (at zero day of anti-tuberculosis therapy) and 256 healthy controls (HCs) were recruited. The genotyping of selected SNPs was done by high-resolution melting (HRM) curve analysis. The mRNA and surface expression data of IFNGR1 was extracted from our previous study and was grouped according to the genotypes of studied SNPs. The genotype ‘TT’ and ‘T’ allele of SNP rs2234711 (C/T) were found to be associated with TB in studied population [‘T’ vs ‘C’: OR (CI) = 1.79 (1.39–2.29); p-value < 0.0001]. The haplotypes ‘C-C-C’ of rs2234711-rs7749390-rs1327475 confers protection, while haplotype ‘T-C-C’ is a risk factor for TB in studied population. It was also found that ‘TT’ genotype of rs2234711 in HCs is associated with lower surface expression of IFNGR1 (p-value = 0.0078). In conclusion, ‘TT’ genotype is associated with lower surface expression of IFNGR1 and is increasing the susceptibility to TB in North Indian population.

Association of Androgen-Receptor Gene Mutations with the Copy Number of Androgen-Receptor Silk Protein A Complex and Glutathione-S-Transferases T1 and M1 in Prostate Cancer Patients.

The purpose of our work was to explore the association of mutations in the androgen receptor gene and copy numbers of the androgen-receptor silk protein A complex with glutathione-S-transferases T1 and M1 in prostate cancer patients. Eighty-five patients with PC and 85 healthy controls were included in the study. Fasting peripheral venous blood was collected, whole blood genomic DNA was extracted, and AR gene-receptor genotype was detected by a high-resolution melting curve analysis detection technology. Expression levels of androgen receptor (AR) and filamin protein A (FlnA) were detected by Western blotting. RT-PCR was used to detect the copy number of T1 and M1 glutathione-S-transferases. The wild-type androgen receptor gene rs5918762 is of TT type. The frequencies of CC and TC genes in the prostate cancer group were significantly higher than those in the normal control group (P < 0.05). Compared with TT-type PC patients, PC patients with TC-type and CC-type had higher expression levels of sex hormone receptor silk protein A complex and higher copy numbers of GSTT1 and GSTM1 (P < 0.05). Androgen-receptor gene mutation (T ⟶ C) was significantly positively correlated with the expression level of androgen-receptor silk protein A complex and the copy number of GSTT1 and GSTM1. Androgen-receptor gene polymorphisms were significantly associated with expression levels of androgen receptor complex A and silk proteins, and copy numbers of T1 and M1 glutathione-S-transferases. A combination of four factors can be used to identify prostate cancer susceptibility and disease progression.

Associations of ANGPTL6, DOCK6, FABP1, and PCSK9 single-nucleotide variants with hypercholesterolemia in the Polish population: a cross-sectional study.

Hypercholesterolemia is a chronic noncommunicable disease predisposing to cardiovascular diseases. Genome‑wide association studies have shown that more than 500 common nucleotide variants are associated with dyslipidemia. We evaluated associations between selected nucleotide variants in ANGPTL6, DOCK6, FABP1, and PCSK9 genes and hypercholesterolemia in the Polish adult population sample. The study included 109 patients with hypercholesterolemia and 251 individuals with no diagnosed lipid disorder. Genotyping of ANGPTL6 rs8112063, DOCK6 rs737337 and rs17699089, FABP1 rs2241883 and rs2919872, and PCSK9 rs562556 and rs11206510 was carried out using highresolution melting curve analysis. Serum concentrations of FABP1, PCSK9, ANGPTL6, and ANGPTL8 were determined in 51 individuals by enzyme‑linked immunosorbent assay. Carriers of the FABP1 rs2919872 CC genotype were over 2.5‑fold less likely to be diagnosed with hypercholesterolemia than carriers of the T allele (odds ratio [OR], 0.386; 95% CI, 0.203-0.735; P = 0.003; Pcorr = 0.006). There were no associations between rs2919872 and serum lipid concentrations. Carriers of the ANGPTL6 rs8112063 C allele had an almost 2‑fold higher risk of developing hypercholesterolemia than carriers of the T allele (OR, 1.820; 95% CI, 1.053-3.144; P = 0.03; Pcorr = 0.046). Moreover, the carriers of the ANGPTL6 rs8112063 C allele had higher serum concentrations of high-density lipoprotein cholesterol than those with TT genotype (P = 0.009). There were no significant associations between the other tested variants and hypercholesterolemia. FABP1 rs2919872 and ANGPTL6 rs8112063 are associated with a risk of hypercholesterolemia in the Polish population.

High resolution melting curve analysis for rapid detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants.

Since the emergence of the original Wuhan SARS-CoV-2 strain, several new variants of the virus have emerged. Alpha, Beta, Gamma, Delta and the most recent Omicron variants have been introduced during this pandemic. Several methods including, but not restricted to, allele-specific PCR, ligation with rolling circle amplification and real-time PCR with allele-specific probes are able to detect mutations as low as asingle nucleotide polymorphism. High-resolution melting curve analysis is ano-ther technique to assess any mutations in anucleic acid chain. Confirmed samples with SARS-CoV-2 infection were subjected to variant identification using ade novo-designed HRM assay. In order to select for mutations with the highest effect on Tm of the amplicon, deletion mutations of NSP6 (Del 3675-3677), and S1 (Del 144) were chosen for HRM analysis. HRM analysis for the amplicon of the primer set-1 (NSP6) resulted in Tm differences of -0.39°C, +0.4°C, and -0.6°C between Alpha, Delta, and Omicron variants, respectively, in comparison to the original Wuhan strain. Moreover, HRM analysis of the amplification performed by primer set-2 (S1) led to Tm differences of +0.32°C, -0.26°C, and +0.24°C between Alpha, Delta, and Omicron variants, respectively, in comparison to original Wuhan strain. The test was able to specify each sample to its variant group with more than 90 percent of confidence. The results obtained in this study demonstrate that using asingle closed-tube strategy with aHRM-equipped machine, screening new variants of the virus is possible in afast and reliable way. Keywords: high resolution melting; SARS coronavirus 2; mutation; variant; genotyping.

Real-time RT-PCR high-resolution melting curve analysis to detect and differentiate Brazilian variants of grapevine viruses

Detecting and identifying viral infections in perennial plants, such as grapevines, can be challenging. Therefore, the aim of this study was to perform a real-time RT-PCR (RT-qPCR) high-resolution melting (HRM) curve analysis to detect and differentiate Brazilian variants of grapevine leafroll-associated virus 3 (GLRaV-3) and grapevine fanleaf virus (GFLV) in 74 and 10 infected plants, respectively, maintained in a collection block of grapevines. A single amplification curve was generated for each sample by RT-qPCR. Considering the amplified region of genomes of these two viruses, it was possible to identify and distinguish different variants of GLRaV-3 and of GFLV, which showed significantly different melting temperature (Tm) values between themselves, reflecting differences in the nucleotide sequences of the respective amplicons, and allowing discriminating variants and assess the viral diversity in grapevine accessions. The HRM analysis was validated by sequencing and nucleotide comparisons among Brazilian isolates of GLRaV-3 and GFLV.

Association of Genetic Variants rs1888747 and rs10868025 of FRMD3 Gene with Diabetic Nephropathy in Pakistani Patients

Background: Diabetic Nephropathy is also known as diabetic kidney disease. The major cause of diabetic nephropathy is diabetes Many candidate genes and genome-wide association studies have proved that gene FRMD3 is highly associated with diabetic nephropathy. Aim of the study: This study aimed to investigate the association of rs1888746 and rs1888747 with diabetic nephropathy in our local population of Pakistan. Research Design: For this study, we enrolled 50 physician-diagnosed patients and 25 healthy control from the young population. Genomic DNA was extracted by organic method and visualized on Agarose gel. Methodology: Monoplex PCR, real-time PCR, genotyping via high-resolution melting curve analysis,and SPSS software were used to accomplish the research work. Results: Our study found that variant rs1888746 shows an insignificant association with (p&lt;0.0982) and rs188747 shows a significant association with (p&lt;0.0498), but results need to be confirmed on a larger scale. Conclusion: The results concluded that our selected rs1888747 on FRMD3 gene shows the allelic association with diabetic nephropathy in Pakistani local population whereas r1888746 did not. Keywords: Genome Wide Association Studies, Diabetic Nephropathy, Genomic DNA, FRMD3 gene

Analysis of Salivary Bacterial Community by Direct PCR and High Resolution Melting Curve and Its Forensic Applications.

To develop a rapid test for salivary bacterial community based on direct PCR (dPCR) and high resolution melting (HRM) curve analysis, to evaluate its application value in forensic medicine. The salivary bacteria were collected by centrifugation and then resuspended in Tris-EDTA (TE) buffer, and directly used as the template for amplification and HRM curve analysis (dPCR-HRM) of the 16S rDNA V4 region. The genotype confidence percentage (GCP) of the HRM profiles compared with the reference profile was calculated. The template DNA was extracted by traditional kit and then PCR-HRM (namely kPCR-HRM) was used as reference to validate the feasibility of dPCR-HRM. The gradient dilution templates, population samples and simulated salivary stains were analyzed by dPCR-HRM to evaluate its sensitivity, typing ability and adaptability. Using dPCR-HRM method, the HRM profiles of salivary bacterial community were obtained within 90 minutes. The GCP between dPCR-HRM and kPCR-HRM was greater than 95.85%. For general individuals, the HRM type of bacterial community could be determined with 0.29 nL saliva by dPCR-HRM. The 61 saliva samples could be divided into 10 types. The typing of salivary stains deposited within 8 h was the same as those of fresh saliva (GCP>90.83%). dPCR-HRM technology can be used for rapid typing of salivary bacterial community, and has the advantage of low cost and simple operation.

Comparison of PCR-HRM, colorimetric LAMP and culture based diagnostic assays in the detection of endometritis caused by Streptococcus equi subsp. zooepidemicus in mares.

Streptococcus equi subsp. zooepidemicus (S. zooepidemicus) is one of the causative agents of equine endometritis. In this study, a panel of different bacterial species, and colonies derived from bacteriological cultures of 38 clinical samples, were subjected to Loop-Mediated Isothermal Amplification (LAMP) assay and PCR, followed by high-resolution melt (HRM) curve analysis. All clinical samples were genotyped into three distinct groups based on HRM curve analysis. Differences in melting curve profiles were a reflection of DNA variation in sorD gene which was confirmed by DNA sequencing. A mathematical model based on Genetic Confidence Percentage (GCP) was used in HRM curve analysis and a cut-off point value was established which differentiated S. zooepidemicus isolates without requiring visual interpretation of curve profiles. The accuracy of PCR-HRM and bacterial culture in detection of S. zooepidemicus were identical with 100% sensitivity and specificity, while LAMP assay had similar specificity but a lower sensitivity (89.5%). PCR-HRM and LAMP assay provided an effective detection method with a turn-around time of six hours for PCR-HRM and 120min for LAMP assay, compared to a minimum three days that was required when routine bacteriological culture method was used. In summary, results indicate that LAMP had the quickest turnaround, and HRM curve analysis could potentially be used for genotyping without DNA sequencing. Any mare suspected of endometritis will benefit from developed rapid diagnostic tests for detection of S. zooepidemicus and proper treatment prior to being bred and will mitigate unnecessary treatment and antibiotic resistance.