High-resolution Melting Curve Analysis Research Articles

Rapid detection of the SARS-CoV-2 omicron variants based on high-resolution melting curve analysis

With the continuous spread of the SARS-CoV-2 globally, viral mutations have accumulated. As a result, SARS-CoV-2 became more contagious, and has a higher risk of immune escape and reinfection. To identify variants and have an awareness of the prevalence of these variants, this study selected four segments containing mutations on the S gene of the SARS-CoV-2. Then a rapid and convenient variants detection method was established using high-resolution melting(HRM) analysis combined with nested polymerase chain reaction(PCR). The total detection process takes about 5 h. Through comprehensive analysis of the results from the four reaction systems, the identification of seven important Omicron variants(BA.2, BA.2.75, BA.5.2, BF.7, BQ.1, XBB.1 and XBB.2) can be achieved, with significant differentiation in the melting curves of each variant group. The method established in this study was used to genotype positive specimens in COVID-19 nucleic acid testing, the overall concordance rate compared to whole genome sequencing results was 88.9%, and the positive concordance rate of each sublineage was greater than 80% and the negative concordance rate was greater than 94.4%. The detection of clinical specimens has demonstrated that the HRM analysis established in this study is an effective, rapid and convenient variant identification method, which can be used for monitoring SARS-CoV-2 variants and has important value in addressing public health issues caused by the ongoing mutations of the SARS-CoV-2.

High-Resolution Melting Assay to Detect the Mutations That Cause the Y132F and G458S Substitutions at the ERG11 Gene Involved in Azole Resistance in Candida parapsilosis.

Candida parapsilosis is a pathogenic yeast that has reduced susceptibility to echinocandins and ranks as the second or third leading cause of candidaemia, depending on the geographical region. This yeast often causes nosocomial infections, which are frequently detected as outbreaks. In recent years, resistance to azoles in C. parapsilosis has increased globally, primarily due to the accumulation of mutations in the ERG11 gene. In this study, we have developed an assay based on real-time PCR and high-resolution melting (HRM) curve analysis to detect two of the most prevalent mutations at ERG11 that confer resistance to fluconazole (Y132F and G458S). We designed allele-specific oligonucleotides that selectively bind to either the wild type or mutated sequences and optimised the conditions to ensure amplification of the specific allele, followed by detection via high-resolution melting (HRM) analysis. The designed oligonucleotides to detect the Erg11Y132F and Erg11G458S mutations produced specific amplification of either WT or mutated alleles. We conducted a duplex real-time PCR combining oligonucleotides for the wild-type sequences in one mix, and oligonucleotides for the mutated alleles in another. Following this, we performed an analysis of the HRM curve to identify the amplified allele in each case. This technique was blindly evaluated on a set of 114 C. parapsilosis isolates, all of which were unequivocally identified using our approach. This technique offers a new method for the early detection of azole resistance mechanism in C. parapsilosis.

The pertinence of resistin gene single nucleotide polymorphism G > A and its expression in oral cancer

Background/aimOral cancer (OC) is the leading cause of fatalities in Pakistan among males due to inadequate oral hygiene and chewing habits. However, genetic susceptibility patterns also play a critical role in disease progression. Since the frequency of Resistin (RETN) SNP (Single nucleotide polymorphism) rs3219175 is unknown; there is a requirement for early diagnosis of the OC. Therefore, the current study aims to determine the frequency of targeted SNP and develop a safe, simple, and fast alternative technique for better treatment using a real-time PCR assay with HRM (high-resolution melting curve) analysis. Materials and methodsA case-control study was conducted on 35 Oral squamous cell carcinomas (OSCC) diagnosed patients and 35 healthy individuals. HRM and RT-PCR results were analysed by the bioinformatics analyses. ResultsThe frequency of RETN SNP rs3219175 genotypes GG and GA in male patients was 16 (46 %) and 5 (14 %) respectively and in females 8 (23 %) and 6 (17 %) respectively. The chi-square test of independence consummated the assessment between males and females in both control and patients. The relation between these variables was significant (p < 0.05). The interaction network of String 8.3 demonstrates strong interactions at a high confidence score, which helps to characterize functional disorders that may be a causative factor for oral pathology. Reactome and KEGG data were acquired to rule out the pathway involvement of the targeted gene. MuPIT software was used to identify the 3D structure or RETN and their expected mutation effect. ConclusionThis study provides baseline data regarding the frequency of RETN SNP rs3219175 among the Pakistani population. For further clarification of their stage in cancer emergence and growth, large-scale studies must be conducted. This study might be helpful in the precision medicine approach and provide better therapeutic for OSCC patients.

Effects of Dietary Protein Levels, Net Energy Levels, and Essential Amino Acid-to-True Protein Ratios on Broiler Performance.

Supplementing essential amino acids (EAAs) without considering non-EAA (NEAA) and energy contents in reduced-crude protein (CP) diets may alter EAA-to-true protein (E:T) and energy-to-protein ratios, potentially compromising growth. This study aimed to evaluate the effects of CP, E:T, and net energy (NE) on broiler performance. The treatments were as follows: T1-reduced CP (16%, RP), low NE (9.9 MJ/kg, LNE), low E:T (0.56, LE:T); T2-RP, LNE, high E:T (0.60, HE:T), with imbalanced EAA (excess Met and deficient Thr); T3-RP, high NE (10.4 MJ/kg, HNE), LE:T; T4-RP, HNE, HE:T; T5-normal CP (18%, NP), LNE, LE:T; T6-NP, LNE, HE:T; T7-NP, HNE, LE:T; and T8-NP, HNE, HE:T. The study employed as-hatched Cobb 500 broilers in two experiments. Exp.1 studied the broiler performance from d19 to 35, with eight replicates per treatment and 16 birds per replicate (n = 1024). Birds were randomly assigned to different treatments, and at the end of their lives, all were dissected to determine their sex and account for any gender-related effects. Exp.2 measured NE values in respiration chambers from d25 to 28, with six replicates per treatment, and two birds (a male and a female) per replicate (n = 96). The bird gender was determined through high-resolution melting curve analysis of feather DNA. The measured NE values were used to calculate NE intake (NEi) in Exp.1. The results showed that T4 improved (p < 0.001) weight gain (WG), feed conversion ratio (FCR), and NEi relative to T1, T2, and T3, and protein efficiency (WG/CP intake) relative to all treatments. The live performance (feed intake, WG, FCR) and NEi of birds fed T4 reached a level equal to those of birds fed NP diets (T5 to T8). These results suggest that a dietary E:T ratio of 0.60 is necessary to maximize nutrient utilization and to restore growth rate in broilers fed RP diets.

Development of a High-Resolution Melting Method for the Detection of Clarithromycin-Resistant Helicobacter pylori in the Gastric Microbiome.

Background: The issue of Helicobacter pylori (H. pylori) resistance to clarithromycin (CLR) has consistently posed challenges for clinical treatment. Hence, a rapid susceptibility testing (AST) method urgently needs to be developed. Methods: In the present study, 35 isolates of H. pylori were isolated from 203 gastritis patients of the Guangzhou cohort, and the antimicrobial resistance phenotypes were associated with their genomes to analyze the relevant mutations. Based on these mutations, a rapid detection system utilizing high-resolution melting (HRM) curve analysis was designed and verified by the Shenzhen cohort, which consisted of 38 H. pylori strains. Results: Genomic analysis identified the mutation of the 2143 allele from A to G (A2143G) of 23S rRNA as the most relevant mutation with CLR resistance (p < 0.01). In the HRM system, the wild-type H. pylori showed a melting temperature (Tm) of 79.28 ± 0.01 °C, while the mutant type exhibited a Tm of 79.96 ± 0.01 °C. These differences enabled a rapid distinction between two types of H. pylori (p < 0.01). Verification examinations showed that this system could detect target DNA as low as 0.005 ng/μL in samples without being affected by other gastric microorganisms. The method also showed a good performance in the Shenzhen validation cohort, with 81.58% accuracy, and 100% specificity. Conclusions: We have developed an HRM system that can accurately and quickly detect CLR resistance in H. pylori. This method can be directly used for the detection of gastric microbiota samples and provides a new benchmark for the simple detection of H. pylori resistance.

Detection Of CCR5 Delta-32 Mutation Using High-Resolution Melting Curve Analysis: Challenges and Facts.

The C-C chemokine receptor type 5 (CCR5) is a major co-receptor for human immunodeficiency virus (HIV). Some individuals carry the CCR5 delta-32 genetic polymorphism. People with homozygous CCR5 delta-32 gene are nearly completely resistant to HIV-1 infection. High-resolution melting curve (HRM) analysis is a post-PCR technique utilized for identifying genetic variations in a quick, affordable, and closed-tube assay. The objective of this study was to develop an HRM assay for easy detection of delta-32 mutations. DNA was extracted from peripheral blood mononuclear cells. HRM was performed to detect delta-32 mutation. The study investigated the impact of various factors, including annealing temperature, template concentration, touchdown PCR, additives, amplicon size, and program settings, on HRM Tm differentiation. It was expected that there would be a 4°C Tm difference between amplicons with and without delta-32 mutation, but the test showed a difference of only 2.3°C. In attempts to identify heterozygote delta-32 variants, a Tm difference of only 0.4°C could be achieved. Various modifications were applied, such as adjusting the template concentration, using touchdown PCR, and adding DMSO and glycerol. However, none of these changes helped to differentiate the Tm effectively, especially in delta-32 heterozygote samples. The HRM test identified four samples with heterozygote mutations in each HIV-infected (8.89%) and control (5.72%) groups. More importantly, this study showed that identifying the delta-32 mutation of the CCR5 gene using HRM assay is not as straightforward as previously suggested in some literature, and it requires special setup conditions.

Assessment of High-Resolution Melting Curve Analysis for Leishmania spp. Detection in Different Clinical Manifestations of Leishmaniasis in India.

The accurate diagnosis and identification of Leishmania species are crucial for the therapeutic selection and effective treatment of leishmaniasis. This study aims to develop and evaluate the use of high-resolution melting curve analysis (HRM)-PCR for Leishmania species identification causing visceral leishmaniasis (VL), post-kala-azar dermal leishmaniasis (PKDL) and cutaneous leishmaniasis (CL) in the Indian subcontinent. Two multi-copy targets (ITS-1 and 7SL-RNA genes) were selected, and an HRM-PCR assay was established using L. donovani, L. major, and L. tropica standard strain DNA. The assay was applied on 93 clinical samples with confirmed Leishmania infection, including VL (n = 30), PKDL (n = 50), and CL (n = 13) cases. The ITS-1 HRM-PCR assay detected as little as 0.01 pg of template DNA for L. major and up to 0.1 pg for L. donovani and L. tropica. The detection limit for the 7SL-RNA HRM-PCR was 1 pg for L. major and 10 pg for L. donovani and L. tropica. The ITS-1 HRM-PCR identified 68 out of 93 (73.11%) leishmaniasis cases, whereas 7SL-RNA HRM-PCR could only detect 18 out of 93 (19.35%) cases. A significant correlation was observed between the kDNA-based low Ct values and ITS-1 HRM-PCR positivity in the VL (p = 0.007), PKDL (p = 0.0002), and CL (p = 0.03) samples. The ITS-1 HRM-PCR assay could identify Leishmania spp. causing different clinical forms of leishmaniasis in the Indian subcontinent, providing rapid and accurate results that can guide clinical management and treatment decisions.

Dual-Emission Fluorescence Resonance Energy Transfer (FRET) PCR Discriminates Salmonella Pullorum and Gallinarum.

Salmonella Pullorum (S. Pullorum) and Salmonella Gallinarum (S. Gallinarum) are two biovars of Salmonella enterica serovar Gallinarum, responsible for pullorum disease and fowl typhoid, which are the most prevalent and pathogenic forms of salmonellosis in poultry in developing countries. Traditional differentiation methods for S. Pullorum and S. Gallinarum are based on distinct clinical manifestations and biochemical traits, given their indistinguishable nature via serological assays alone. Molecular differentiation methods such as allele-specific PCR and dual PCR combined with gel electrophoresis or enzyme digestion have also been used to discriminate S. Pullorum and S. Gallinarum, but the detection efficiency is not high. This investigation introduces a Fluorescence Resonance Energy Transfer (FRET) PCR assay targeting the pegB gene, exclusively found in specific Salmonella serovars such as S. Pullorum and S. Gallinarum, and exhibiting conserved single-nucleotide polymorphisms across these two biovars. High-resolution melting curve analysis demonstrates distinct dissolution profiles, facilitating the precise discrimination of S. Pullorum and S. Gallinarum. This FRET-PCR assay exhibits a detection limit of 10 copies per reaction and has been rigorously validated utilizing 17 reference strains and 39 clinical isolates. The innovation presented herein provides a valuable tool for the rapid differentiation of S. Pullorum and S. Gallinarum, thereby enhancing diagnostic efficiency and molecular surveillance of poultry Salmonella. The developed pegB-targeting FRET-PCR assay presents a promising alternative to current cumbersome and time-consuming diagnostic modalities, offering significant potential for expedited identification and control of Salmonella in poultry and mitigating economic losses associated with Salmonella contamination in poultry production.

Real-time qPCR coupled with high-resolution melting curve analysis for the detection of the internal transcribed spacer 1 of Angiostrongylus costaricensis.

Abdominal angiostrongyliasis (AA) is a zoonotic and severe parasitic infection caused by Angiostrongylus costaricensis. AA is currently diagnosed by the observation of A. costaricensis-compatible structures in biopsies or the detection of antibodies in serological tests. However, molecular methods targeting homologous sequences of A. costaricensis have not been designed before, and therefore, an HRM-coupled qPCR was developed to detect the internal transcribed spacer 1 (ITS1) of the parasite. The present assay successfully amplified DNA of A. costaricensis obtained from different hosts and identified slight sequence differences through the HRM analysis. The detection limit of the HRM-qPCR was 0.00036ng/µL, 1.0ng/µL, and 0.1ng/µL when A. costaricensis DNA was diluted in nuclease-free water, whole blood, and sera, respectively, which highlights its potential use for cell-free DNA detection. Moreover, the reaction did not cross-amplify DNA of Angiostrongylus cantonensis, Strongyloides stercoralis, and other nematodes, thus emphasizing its specificity. Additionally, the assay tested positive in formalin-fixed paraffin embedded biopsies with visible A. costaricensis adults or eggs, but not in samples without evident parasites or a low number of larvae, which suggests that the reaction is useful for confirming the presence of the nematode in clinical samples. Finally, DNA of sera from patients with AA was evaluated with the HRM-qPCR but none tested positive, possibly due to long storage periods of the samples which could have led to cfDNA degradation. These results indicate that this assay may be useful in the confirmation of AA and its prospection for cell-free DNA detection protocols.

High-resolution melting curve analysis: A detection assay for Ceratocystis eucalypticola and C. manginecans in infected Eucalyptus

Eucalyptus spp. in plantations are negatively affected by canker and wilt diseases caused by several species of Ceratocystis, particularly those in the Latin American Clade (LAC). Ceratocystis eucalypticola and Ceratocystis manginecans are of particular concern where disease epidemics are reported globally, with recent outbreaks emerging in South African and Indonesian Eucalyptus plantations. Consequently, a rapid screening protocol is required for these pathogens. In this study, a high-resolution melting curve analysis (HRMA) was developed to detect C. eucalypticola and C. manginecans that bypasses time-consuming isolation and post-PCR procedures. Primers targeting a 172 bp region of the cerato-platanin (CP) gene were designed. Using these primers, the accuracy of HRMA to detect and distinguish between these two LAC species was assessed using pure fungal DNA, and DNA extracted directly from Eucalyptus samples naturally infected with C. eucalypticola. The assay accurately detected the presence of C. eucalypticola and C. manginecans and quantifies their DNA, both from cultures, and directly from wood samples. HRMA further differentiated these two species from all other tested LAC individuals. This assay was also able to detect the presence of all the tested LAC species and distinguish seven of these, including C. fimbriata, to species level. Ceratocystis polyconidia was the only non-LAC off-target species detected. Based on these results, the developed assay can be used to rapidly identify C. eucalypticola and C. manginecans directly from infected plant material or fungal cultures, with the potential to also screen for several other LAC species.

High-Resolution Melting (HRM) analysis of DNA methylation using semiconductor chip-based digital PCR.

Digital PCR (dPCR) technology allows absolute quantification and detection of disease-associated rare variants, and thus the use of dPCR technology has been increasing in clinical research and diagnostics. The high-resolution melting curve analysis (HRM) of qPCR is widely used to distinguish true positives from false positives and detect rare variants. In particular, qPCR-HRM is commonly used for methylation assessment in research and diagnostics due to its simplicity and high reproducibility. Most dPCR instruments have limited fluorescence channels available and separate heating and imaging systems. Therefore, it is difficult to perform HRM analysis using dPCR instruments. A new digital real-time PCR instrument (LOAA) has been recently developed to integrate partitioning, thermocycling, and imaging in a single dPCR instrument. In addition, a new technique to perform HRM analysis is utilized in LOAA. The aim of the present study is to evaluate the efficiency and accuracy of LOAA dPCR on HRM analysis for the detection of methylation. In this study, comprehensive comparison with Bio-Rad qRT-PCR and droplet-based dPCR equipment was performed to verify the HRM analysis-based methylation detection efficiency of the LOAA digital PCR equipment. Here, sodium bisulfite modification method was applied to detect methylated DNA sequences by each PCR method. Melting curve analysis detected four different Tm values using LOAA and qPCR, and found that LOAA, unlike qPCR, successfully distinguished between different Tm values when the Tm values were very similar. In addition, melting temperatures increased by each methylation were about 0.5℃ for qPCR and about 0.2 ~ 0.6℃ for LOAA. The melting temperature analyses of methylated and unmethylated DNA samples were conducted using LOAA dPCR with TaqMan probes and EvaGreen, and the result found that Tm values of methylated DNA samples are higher than those of unmethylated DNA samples. The present study shows that LOAA dPCR could detect different melting temperatures according to methylation status of target sequences, indicating that LOAA dPCR would be useful for diagnostic applications that require the accurate quantification and assessment of DNA methylation.

Deciphering microbial communities involved in marine steel corrosion using high-throughput amplicon sequencing.

To characterize the source and effects of bacterial communities on corrosion of intertidal structures, three different UK coastal sites were sampled for corrosion materials, sediment and seawater. Chemical analyses indicate the activity of sulfate-reducing microbes (SRBs) at 2 sites (Shoreham and Newhaven), but not at the third (Southend-on-Sea). Microbial communities in the deep sediment and corrosion samples are similar. The phylum Proteobacteria is dominant (40.4% of the total ASV), followed by Campilobacterota (11.3%), Desulfobacterota and Firmicutes (4%-5%). At lower taxonomic levels, corrosion causing bacteria, such as Shewanella sp. (6%), Colwellia sp. (7%) and Mariprofundus sp. (1%), are present. At Southend-on-sea, the relative abundance of Campilobacterota is higher compared to the other two sites. The mechanism of action of microorganisms at Shoreham and Newhaven involves biogenic sulfuric acid corrosion of iron by the combined action of SRBs and sulfur-oxidizing microbes. However, at Southend-on-sea, sulfur compounds are not implicated in corrosion, but SRBs and other electroactive microbes may play a role in which cathodic reactions (electrical MIC) and microbial enzymes (chemical MIC) are involved. To contribute to diagnosis of accelerated intertidal corrosion types, we developed a rapid identification method for SRBs using quantitative polymerase chain reaction high-resolution melt curve analysis of the dsrB gene.

Rapid Identification of Rhizobia Nodulating Soybean by a High-Resolution Melting Analysis

Soybean [Glycine max (L.) Merr.] is one of the most important and oldest crops. Due to its ability to form symbiotic interactions with nitrogen-fixing bacteria, it is a valuable source of nitrogen for agriculture and proteins for humans and livestock. In Europe, for instance, in Poland, the soybean cultivation area is still not large but is gradually increasing due to climate change. The lack of indigenous soybean microsymbionts in Polish soils forces the application of commercial strains to establish effective symbioses. Fast and reliable identification methods are needed to study the persistence, competitiveness, and dispersal of bradyrhizobia introduced as inocula. Our study aimed to apply real-time PCR coupled with high-resolution melting curve (HRM) analysis to detect and differentiate bacterial strains occupying soybean nodules. HRM-PCR was performed on crude extracts from nodules using primers specific for recA, a highly conserved nonsymbiotic gene. By comparing them with the reference strains, we were able to identify and assign Bradyrhiobium strains that had been introduced into field locations in Poland. In conclusion, HRM analysis was proven to be a fast and accurate method for identifying soybean microsymbionts and might be successfully used for identifying other legume-nodulating bacteria.

Advancing livestock and poultry disease diagnosis with high-resolution melt curve analysis

High-Resolution Melting (HRM) is a sensitive polymerase chain reaction-based molecular assay used to detect, single nuclear polymorphisms, mutations, and variations in genotypes of pathogens. HRM analysis is more convenient than other detection and discrimination approaches since it is a closed-tube method, that is the polymerase chain reaction amplification and subsequent analysis are carried out sequentially in the well. It finds application in various veterinary diagnoses and discrimination of genotypes of the microorganisms. Numerous public health organizations have recommended increased monitoring activities to support current surveillance programs in response to the threat of bioterrorism and emerging infectious diseases. HRM assay will be an efficient, cost-effective disease diagnostic and genotype of circulating pathogen identification method thereby aiding in disease surveillance which is important for monitoring the spread of infectious diseases. This review emphasizes the application of HRM in livestock, poultry, and companion animals in recent times carried out all over the world for determining the genotype, strain, and breed differentiation including pathogens classification.

Assessing myBaits Target Capture Sequencing Methodology Using Short-Read Sequencing for Variant Detection in Oat Genomics and Breeding.

The integration of target capture systems with next-generation sequencing has emerged as an efficient tool for exploring specific genetic regions with a high resolution and facilitating the rapid discovery of novel alleles. Despite these advancements, the application of targeted sequencing methodologies, such as the myBaits technology, in polyploid oat species remains relatively unexplored. In this study, we utilized the myBaits target capture method offered by Daicel Arbor Biosciences to detect variants and assess their reliability for variant detection in oat genomics and breeding. Ten oat genotypes were carefully chosen for targeted sequencing, focusing on specific regions on chromosome 2A to detect variants. The selected region harbors 98 genes. Precisely designed baits targeting the genes within these regions were employed for the target capture sequencing. We employed various mappers and variant callers to identify variants. After the identification of variants, we focused on the variants identified via all variants callers to assess the applicability of the myBaits sequencing methodology in oat breeding. In our efforts to validate the identified variants, we focused on two SNPs, one deletion and one insertion identified via all variant callers in the genotypes KF-318 and NOS 819111-70 but absent in the remaining eight genotypes. The Sanger sequencing of targeted SNPs failed to reproduce target capture data obtained through the myBaits technology. Similarly, the validation of deletion and insertion variants via high-resolution melting (HRM) curve analysis also failed to reproduce target capture data, again suggesting limitations in the reliability of the myBaits target capture sequencing using short-read sequencing for variant detection in the oat genome. This study shed light on the importance of exercising caution when employing the myBaits target capture strategy for variant detection in oats. This study provides valuable insights for breeders seeking to advance oat breeding efforts and marker development using myBaits target capture sequencing, emphasizing the significance of methodological sequencing considerations in oat genomics research.

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.

Assessment of the tissue factor pathway inhibitor (TFPI-rs7586970 variant) polymorphism as a risk factor in myocardial infarction patients

Context The tissue factor pathway inhibitor (TFPI), a Kunitz-type serine protease inhibitor, inhibits the extrinsic pathway of pathways, and might significantly contribute to the pathogenesis of coronary artery diseases. Aim To assess the TFPI-rs7586970 genetic variant as a risk factor in patients with myocardial infarction (MI). Settings and design A descriptive case–control study in the Premises of the Department of Clinical Pathology and Cardiology in Suez Canal University Hospitals included 156 individuals; 78 MI patients and 78 individuals as a control group. Methods and material An interview questionnaire, clinical and laboratory assessment, and molecular genotyping of the TFPI-rs7586970 genetic variant were done using real-time PCR Eva-Green-based high-resolution melting curve (HRM) analysis. Informed consent was taken from all the participants and the study protocol was approved by the Ethics Committee, Faculty of Medicine, Suez Canal University. Statistical analysis used For statistical analysis, t-test, Mann-Whitney U test, chi-squared-test (χ2), one-way ANOVA (analysis of variance), Kruskal-Wallis test, and binary logistic regression model were used. Results The MI group recorded 26 allele copies of the TFPI-rs7586970 genetic variant whereas the control group recorded six copies. The binary logistic regression model for MI occurrence showed that the TFPI-rs7586970 genetic variant polymorphism is a significant predictor for the development of MI. Conclusions TFPI-rs7586970 genetic variant polymorphism is a significant risk factor for the development of MI.

High-resolution melting real-time polymerase chain reaction 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.