A cost-effective high-resolution melting approach using the EvaGreen dye for DNA polymorphism detection and genotyping in plants

High-resolution melting (HRM) analysis relies on the use of fluorescent dyes, such as LCGreen,ResoLight, and SYTO9, which bind in a saturated manner to the double-stranded DNAs. These dyes are expensive in use and may not be affordable when dealing with a large quantity of samples. EvaGreen is a much cheaper DNA helix intercalating dye and has been used in quantitative real-time polymerase chain reaction (PCR) and post-PCR DNA melt curve analysis. Here we report on the development of an EvaGreen-based HRM analysis and its performance, in comparison with the popular LCGreen-based HRM analysis, in detection of DNA polymorphism in plants. We found that various polymorphisms ranged from single nucleotide polymorphisms (SNPs) to Indels were equally detected by using EvaGreen- or LCGreen-based HRM. EvaGreen dye was sensitive enough in discovery of SNPs in fivefold pooled samples.Using this economical dye we successfully identified multiple novel mutant alleles of Gln1-3 gene,which produces a cytosolic glutamine synthetase isoenzyme (GS1), in a maize ethyl methanesulfonate (EMS)-mutagenized library, and genotyped rice mapping populations with SNP markers. The current results suggest that EvaGreen is a promising dye for HRM analysis for its ease to use and cost effectiveness.     

Application of high-resolution DNA melting for genotyping in lepidopteran non-model species: Ostrinia furnacalis (Crambidae)

Development of an ideal marker system facilitates a better understanding of the genetic diversity in lepidopteran non-model organisms, which have abundant species, but relatively limited genomic resources. Single nucleotide polymorphisms (SNPs) discovered within single-copy genes have proved to be desired markers, but SNP genotyping by current techniques remain laborious and expensive. High resolution melting (HRM) curve analysis represents a simple, rapid and inexpensive genotyping method that is primarily confined to clinical and diagnostic studies. In this study, we evaluated the potential of HRM analysis for SNP genotyping in the lepidopteran non-model species Ostrinia furnacalis (Crambidae). Small amplicon and unlabeled probe assays were developed for the SNPs, which were identified in 30 females of O. furnacalis from 3 different populations by our direct sequencing. Both assays were then applied to genotype 90 unknown female DNA by prior mixing with known wild-type DNA. The genotyping results were compared with those that were obtained using bi-directional sequencing analysis. Our results demonstrated the efficiency and reliability of the HRM assays. HRM has the potential to provide simple, cost-effective genotyping assays and facilitates genotyping studies in any non-model lepidopteran species of interest.     

Glucose-6-phosphate dehydrogenase (G6PD) gene mutations detection by improved high-resolution DNA melting assay

Glucose-6-phosphate dehydrogenase (G6PD) deficiency is a common inherited disorder worldwide including southern China. G6PD gene mutations cause deficiency of the enzyme and a large spectrum of diseases. High-resolution DNA melting (HRM) assay was recently introduced as a rapid, inexpensive and effective method for genotyping. But there was a shortcoming of this method that hemizygous and homozygous genotypes were not easily distinguished from wild-types. Here we used improved HRM method for a small-scale screening of G6PD-deficient variants among people of Meizhou region. Then all amplicons were ascertained by direct DNA sequencing. These results indicated that HRM method was a major technical advance for G6PD mutations screening.     

Minim typing--a rapid and low cost MLST based typing tool for Klebsiella pneumoniae

Here we report a single nucleotide polymorphism (SNP) based genotyping method for Klebsiella pneumoniae utilising high-resolution melting (HRM) analysis of fragments within the multilocus sequence typing (MLST) loci. The approach is termed mini-MLST or Minim typing and it has previously been applied to Streptococcus pyogenes, Staphylococcus aureus and Enterococcus faecium. Six SNPs were derived from concatenated MLST sequences on the basis of maximisation of the Simpsons Index of Diversity (D). DNA fragments incorporating these SNPs and predicted to be suitable for HRM analysis were designed. Using the assumption that HRM alleles are defined by G+C content, Minim typing using six fragments was predicted to provide a D = 0.979 against known STs. The method was tested against 202 K. pneumoniae using a blinded approach in which the MLST analyses were performed after the HRM analyses. The HRM-based alleles were indeed in accordance with G+C content, and the Minim typing identified known STs and flagged new STs. The tonB MLST locus was determined to be very diverse, and the two Minim fragments located herein contribute greatly to the resolving power. However these fragments are refractory to amplification in a minority of isolates. Therefore, we assessed the performance of two additional formats: one using only the four fragments located outside the tonB gene (D = 0.929), and the other using HRM data from these four fragments in conjunction with sequencing of the tonB MLST fragment (D = 0.995). The HRM assays were developed on the Rotorgene 6000, and the method was shown to also be robust on the LightCycler 480, allowing a 384-well high through-put format. The assay provides rapid, robust and low-cost typing with fully portable results that can directly be related to current MLST data. Minim typing in combination with molecular screening for antibiotic resistance markers can be a powerful surveillance tool kit.     

Influencing factors of dsDNA dye (high-resolution) melting curves and improved genotype call based on thermodynamic considerations

High-resolution melting of dsDNA using suitable dyes is a simple and cost-effective alternative for mutation scanning. Analytical variation can result from salt and template concentration (C_T). To overcome this problem the van’t Hoff transition enthalpy ΔH_vH from dsDNA melting curves was estimated and used for robust genotype calling or mutation scanning. Model calculations show the effect of salt, C_T, and temperature resolution on (1) T_m, (2) difference plots, (3) melting peaks, and (4) calculated ΔH_vH. Using the LightCycler480, the influence of dye (ResoLight) and scanning speed was assessed. The model calculations show that only ΔH_vH is not influenced by salt and C_T. Higher amplicon enthalpy ameliorates the ability to discriminate mutations. Temperature resolution is important for peak- but not for curve-based genotyping. ResoLight increases T_m by 3.4 °C, while lowering ΔH_vH. Using a 4-bp deletion in a 200-bp amplicon as a model, the miscalling rate improved substantially, when using ΔH_vH instead of difference plots. Melting curves of duplex DNA are influenced by dye and salt and less so by duplex concentrations. As predicted from theory, ΔH_vH is a robust measure for mutation detection in two-state melting. The influence of dyes on enthalpy is of general impact for PCR assays.     

Detection of polymorphisms at exons 3 (Tyr113-->His) and 4 (His139-->Arg) of the microsomal epoxide hydrolase gene using fluorescence PCR method combined with melting curves analysis

An association between exon 3 polymorphisms of the gene encoding microsomal epoxide hydrolase (mEH) and susceptibility to the development of chronic obstructive pulmonary disease (COPD) has been described. We have developed two methods for detecting polymorphisms at exons 3 (Tyr113-->His) and 4 (His139-->Arg) of the mEH gene based on different melting temperatures (T(m)) of fluorescent-labeled oligonucleotide hybridization probes using single-step assays that combine fluorescence PCR and melting curve analysis (LightCycler methodology). DNA was extracted from blood in 79 COPD patients and 146 healthy controls. Results were compared with those obtained by restriction fragment length polymorphism (RFLP) analysis to detect Tyr113His variants and a single-strand conformation polymorphism (SSCP) assay for His139Arg detection. The T(m) of the exon 3 polymorphisms were 61.3 degrees C for Tyr113 (wild type) and 67.5 degrees C for His113 (mutant). The T(m) values of the exon 4 polymorphisms were 67.5 degrees C for His139 (wild type) and 59.2 degrees C for Arg139 (mutant). The within- and between-run melting peaks for the same allele differed by less than 0.5 degrees C for both the exon 3 and the exon 4 polymorphisms. Thus, melting analysis allowed easy and unambiguous assignment of genotyping by means of the respective melting curves. The proportion of individuals who were homozygous mutant for exon 3 was significantly higher in the COPD group than in the control group (p=0.004). LightCycler fluorescence genotyping of exon 4 polymorphisms correlated perfectly with SSCP results. RFLP assay classified 2 patients as homozygous mutant while LightCycler analysis genotyped them as heterozygous. DNA analysis by PCR and sequencing confirmed the LightCycler result. These high-speed (about 40 min for 32 samples), highly sensitive, and specific small-volume assays with low labor requirements hold great promise as tools for rapid detection of COPD susceptibility.     

Rapid genotyping of APOA5 -1131T>C polymorphism using high resolution melting analysis with unlabeled probes

The APOA5 -1131 T/C polymorphism (rs662799) exhibits a very strong association with elevated TG levels in different racial groups. High resolution melting (HRM) analysis with the use of unlabeled probes has shown to be a convenient and reliable tool to genotyping, but not yet been used for detecting rs662799 polymorphism. We applied the unlabeled probe HRM analysis and direct DNA sequencing to assay the -1131T>C SNP in 130 cases DNA samples blindly. This HRM analysis can be completed in <3 min for each sample. The two melting peaks were displayed at 66.1±0.4°C for CC homozygote and 68.7±0.2°C for TT homozygote; TC heterozygote showed the both melting peaks. The genotyping results by HRM method were completely concordant with direct DNA sequencing. The distribution of CC, TC, and TT genotypes for the -1131T>C SNP was 9.2, 49.2, and 41.5%, respectively. This assay was sensitive enough to detect C allele down to 20% and 10% for T allele. The limit of detection for C and T allele was 6.2 and 2.5 ng/μL DNA, respectively. The developed unlabeled probe HRM method provides an alternative mean to detect ApoA5 -1131T>C SNP rapidly and accurately.     

Allele-specific extension allows base-pair neutral homozygotes to be discriminated by high-resolution melting of small amplicons

Not all single-nucleotide polymorphisms (SNPs) can be determined using high-resolution melting (HRM) of small amplicons, especially class 3 and 4 SNPs. This is due mainly to the small shift in the melting temperature (Tm) between two types of homozygote. Choosing rs1869458 (a class 4 SNP) as a sample, we developed a modified small amplicon HRM assay. An allele-specific extension (ASE) primer, which ended at an SNP site and matched only one of the alleles, was added to the reaction as well as additional thermal steps for ASE. Following asymmetric polymerase chain reaction and melting curve analysis, heterozygotes were easily identified. Two types of homozygote were also distinguishable, indicating that extension primers 11 to 13 bases in length worked efficiently in an allele-specific way. Modification of the limiting amplification primer with locked nucleic acid increased the Tm difference between extension and amplification peaks and facilitated subsequent genotyping. In addition, 194 human genomic DNA samples were genotyped with the developed assay and by direct sequencing, with the different methods providing identical genotyping results. In conclusion, ASE-HRM is a simple, inexpensive, closed-tube genotyping method that can be used to examine all types of SNP.     

The use of high-resolution melting analysis for genotyping Symbiodinium strains: a sensitive and fast approach

High-resolution melting (HRM) analysis is a closed-tube, rapid and sensitive technique able to detect DNA variations. It relies on the fluorescence melting curves that are obtained from the transition of double-stranded DNA (dsDNA) to single-stranded DNA (ssDNA) as a result of temperature increase. In this study, we evaluated the effectiveness of HRM as a tool to rapidly and precisely genotype monotypic Symbiodinium populations using the internal transcribed spacer, region 2, ribosomal DNA (ITS2 rDNA). For this, Symbiodinium denaturing gradient gel electrophoresis (DGGE) profiles, where gel bands were excised and sequenced, were compared to HRM genotypes. Results showed that twenty cultures were correctly genotyped in <2 h using HRM analysis with a percentage of confidence >90%. Limitations of the technique were also investigated. Unlike other techniques used for genotyping Symbiodinium, such as DGGE and other fingerprint profiles, HRM is a technique of great advantage for field coral reef ecologists and physiologists as no expertise in advanced molecular methods is required.     

High-throughput SNP genotyping by single-tube PCR with Tm-shift primers

Despite many recent advances in high-throughput single nucleotide polymorphism (SNP) genotyping technologies, there is still a great need for inexpensive and flexible methods with a reasonable throughput. Here we report substantial modifications and improvements to an existing homogenous allele-specific PCR-based SNP genotyping method, making it an attractive new option for researchers engaging in candidate gene studies or following up on genome-wide scans. In this advanced version of the melting temperature (Tm)-shift SNP genotyping method, we attach two GC-rich tails of different lengths to allele-specific PCR primers, such that SNP alleles in genomic DNA samples can be discriminated by the Tms of the PCR products. We have validated 306 SNP assays using this method and achieved a success rate in assay development of greater than 83% under uniform PCR conditions. We have developed a standalone software application to automatically assign genotypes directly from melting curve data. To demonstrate the accuracy of this method, we typed 592 individuals for 6 SNPs and showed a high call rate (>98%) and high accuracy (>99.9%). With this method, 6-10,000 samples can be genotyped per day using a single 384-well real-time thermal cycler with 2-4 standard 384-well PCR instruments.     

The effect of DNA labeling with the fluorescent dyes R110 and R6G on genotype analysis using capillary electrophoresis

We investigated the mobility of DNA fragments labeled with the fluorescent dyes R110 and R6G, specifically for use in genotyping using capillary electrophoresis. Genomic DNA was isolated from blood, and a highly polymorphic region of the HLA-C gene was amplified by PCR with the use of either [F]-dNTP-[R110] or [F]-dNTP-[R6G]. Pre-diluted (30-fold) PCR products were mixed with formamide, denatured (at 95 degrees C for 2 min.), and rapidly cooled on ice before being subjected to electrophoresis. The results showed that the number and mobility of allele-specific DNA fragments were independent of the two dyes used. Both dyes were equally efficient at differentiating homozygous or heterozygous allelic presentation. An additional dye-specific peak of 132-base-pair mobility was observed with the use of [F]-dNTP-[R110]; it significantly impaired the resolution of one allele-specific peak. The electropherograms obtained with [F]-dNTP-[R6G] were free from any interfering peaks within the target region, thus the [R6G]-based procedure is more preferable for genotype analysis. As this procedure does not involve any post-PCR cleanup, it is simple, rapid and cost-effective.     

Detection of somatic mutations by high-resolution DNA melting (HRM) analysis in multiple cancers

Identification of somatic mutations in cancer is a major goal for understanding and monitoring the events related to cancer initiation and progression. High resolution melting (HRM) curve analysis represents a fast, post-PCR high-throughput method for scanning somatic sequence alterations in target genes. The aim of this study was to assess the sensitivity and specificity of HRM analysis for tumor mutation screening in a range of tumor samples, which included 216 frozen pediatric small rounded blue-cell tumors as well as 180 paraffin-embedded tumors from breast, endometrial and ovarian cancers (60 of each). HRM analysis was performed in exons of the following candidate genes known to harbor established commonly observed mutations: PIK3CA, ERBB2, KRAS, TP53, EGFR, BRAF, GATA3, and FGFR3. Bi-directional sequencing analysis was used to determine the accuracy of the HRM analysis. For the 39 mutations observed in frozen samples, the sensitivity and specificity of HRM analysis were 97% and 87%, respectively. There were 67 mutation/variants in the paraffin-embedded samples, and the sensitivity and specificity for the HRM analysis were 88% and 80%, respectively. Paraffin-embedded samples require higher quantity of purified DNA for high performance. In summary, HRM analysis is a promising moderate-throughput screening test for mutations among known candidate genomic regions. Although the overall accuracy appears to be better in frozen specimens, somatic alterations were detected in DNA extracted from paraffin-embedded samples.     

High-resolution melting genotyping of Enterococcus faecium based on multilocus sequence typing derived single nucleotide polymorphisms

We have developed a single nucleotide polymorphism (SNP) nucleated high-resolution melting (HRM) technique to genotype Enterococcus faecium. Eight SNPs were derived from the E. faecium multilocus sequence typing (MLST) database and amplified fragments containing these SNPs were interrogated by HRM. We tested the HRM genotyping scheme on 85 E. faecium bloodstream isolates and compared the results with MLST, pulsed-field gel electrophoresis (PFGE) and an allele specific real-time PCR (AS kinetic PCR) SNP typing method. In silico analysis based on predicted HRM curves according to the G+C content of each fragment for all 567 sequence types (STs) in the MLST database together with empiric data from the 85 isolates demonstrated that HRM analysis resolves E. faecium into 231 "melting types" (MelTs) and provides a Simpson's Index of Diversity (D) of 0.991 with respect to MLST. This is a significant improvement on the AS kinetic PCR SNP typing scheme that resolves 61 SNP types with D of 0.95. The MelTs were concordant with the known ST of the isolates. For the 85 isolates, there were 13 PFGE patterns, 17 STs, 14 MelTs and eight SNP types. There was excellent concordance between PFGE, MLST and MelTs with Adjusted Rand Indices of PFGE to MelT 0.936 and ST to MelT 0.973. In conclusion, this HRM based method appears rapid and reproducible. The results are concordant with MLST and the MLST based population structure.     

Discrimination of SNP genotypes associated with complex haplotypes by high resolution melting analysis in almond: implications for improved marker efficiencies

Developed recently, high resolution melting (HRM) analysis is an efficient, accurate and inexpensive method for distinguishing DNA polymorphisms. HRM has been used to identify mutations in human genes, and to detect SNPs, INDELs and microsatellites in plants. However, its capacity to discriminate DNA variants in the context of complex haplotypes involving INDEL as well as SNP variants has not been examined until now. In this study, we genotyped an almond (Prunus dulcis (Mill.) D. A. Webb, syn. Prunus amygdalus Batsch) pseudo-testcross mapping population that showed segregation of complex haplotypes associated with CYP79D16 promoter sequence. The 175 bp region in question included a 7 bp INDEL and 3 SNPs, and manifested as three different haplotypes in the parents. Thus, with one homozygous and one heterozygous parent, two relevant genotypes were identified in the mapping population. Although the population displayed monomorphism with respect to the INDEL and one of the SNPs, HRM was sufficiently sensitive to distinguish genotypes on the basis of the two informative SNPs, and the resulting data were used to map CYP79D16 to linkage group 6 of the almond genome. Thus the capacity of HRM to resolve genotypes arising from complex haplotypes has been demonstrated, and this has important implications for the design of efficient HRM markers for various genetic applications including mapping, population studies and biodiversity analyses.     

Optimizing high-resolution melting analysis for the detection of mutations of GPR30/GPER-1 in breast cancer

G protein-coupled receptor 30/G protein estrogen receptor-1 (GPR30/GPER-1) is a novel membrane receptor for estrogen whose mRNA is expressed at high levels in estrogen-dependent cells such as breast cancer cell lines. However, mutations in GRP30 related to diseases remain unreported. To detect unknown mutations in the GPR30 open reading frame (ORF) quickly, the experimental conditions for high-resolution melting (HRM) analysis were examined for PCR primers, Taq polymerases, saturation DNA binding dyes, Mg(2+) concentration, and normalized temperatures. Nine known SNPs and 13 artificial point mutations within the GPR30 ORF, as well as single nucleotide variants in DNA extracted from subjects with breast cancers were tested under the optimal experimental conditions. The combination of Expand High Fidelity(PLUS) and SYTO9 in the presence of 2.0 mM MgCl(2) produced the best separation in melting curves of mutations in all regions of the GPR30 ORF. Under these experimental conditions, the mutations were clearly detected in both heterozygotes and homozygotes. HRM analysis of GPR30 using genomic DNA from subjects with breast cancers showed a novel single nucleotide variant, 111C>T in GPR30 and 4 known SNPs. The experimental conditions determined in this study for HRM analysis are useful for high throughput assays to detect unknown mutations within the GPR30 ORF.     

Single nucleotide polymorphism (SNP) allele frequency estimation in DNA pools using Pyrosequencing

Identifying the genetic variation underlying complex disease requires analysis of many single nucleotide polymorphisms (SNPs) in a large number of samples. Several high-throughput SNP genotyping techniques are available; however, their cost promotes the use of association screening with pooled DNA. This protocol describes the estimation of SNP allele frequencies in pools of DNA using the quantitative sequencing method Pyrosequencing (PSQ). PSQ is a relatively recently described high-throughput method for genotyping, allele frequency estimation and DNA methylation analysis based on the detection of real-time pyrophosphate release during synthesis of the complementary strand to a PCR product. The protocol involves the following steps: (i) quantity and quality assessment of individual DNA samples; (ii) DNA pooling, which may be undertaken at the pre- or post-PCR stage; (iii) PCR amplification of PSQ template containing the variable sequence region of interest; and (iv) PSQ to determine the frequency of alleles at a particular SNP site. Once the quantity and quality of individual DNA samples has been assessed, the protocol usually requires a few days for setting up pre-PCR pools, depending on sample number. After PCR amplification, preparation and analysis of PCR amplicon by PSQ takes 1 h per plate.     

Mutation scanning of short amplicons: optimization of DNA melting conditions

High resolution melting analysis (HRMA) using special "saturating" fluorescent dyes is a new and very effective approach to genotyping and mutation scanning. HRMA, which is carried out usually just after PCR without any intermediate manipulations (the "closed tube" format), is simple and high-throughput method excluding sample cross-contaminations. The "closed tube" format makes, however, HRMA dependent on PCR mixes and, as such, limits its capability. The "open tube" format (post-PCR amplicon shortening and optimization of the ionic medium) proposed by us earlier, although somewhat more laborious, significantly increases sensitivity of the method and makes it possible to scan mutations in the short amplicons using conventional SYBR Green I dye and a standard (not adapted specifically for HRMA) real-time PCR instrument. Detection of mutant K-RAS in DNA of clinical specimens (tumor tissues, formalin-fixed paraffin-embedded samples) reveals equal, at least, sensitivity of this method as compared with the HRMA and much higher as compared with Sanger sequencing. The problem of false-negative results in mutation scanning of K-RAS, which is highly important in some forms of cancer, is discussed.     

The use of high resolution melting (HRM) to map single nucleotide polymorphism markers linked to a covered smut resistance gene in barley

Using an established genetic map, a single gene conditioning covered smut resistance, Ruh.7H, was mapped to the telomere region of chromosome 7HS in an Alexis/Sloop doubled haploid barley population. The closest marker to Ruh.7H, abg704 was 7.5 cM away. Thirteen loci on the distal end of 7HS with potential to contain single nucleotide polymorphisms (SNPs) were identified by applying a comparative genomics approach using rice sequence data. Of these, one locus produced polymorphic co-dominant bands of different size while two further loci contained SNPs that were identified using the recently developed high resolution melting (HRM) technique. Two of these markers flanked Ruh.7H with the proximal marker located 3.8 cM and the distal marker 2.7 cM away. This is the first report on the application of the HRM technique to SNP detection and to rapid scoring of known cleaved amplified polymorphic sequence (CAPS) markers in plants. This simple, precise post-PCR technique should find widespread use in the fine-mapping of genetic regions of interest in complex cereal and other plant genomes.     

High Resolution Melting Analysis Is a More Sensitive and Effective Alternative to Gel-Based Platforms in Analysis of SSR - An Example in Citrus

High resolution melting curve analysis (HRM) has been used as an efficient, accurate and cost-effective tool to detect single nucleotide polymorphisms (SNPs) or insertions or deletions (INDELs). However, its efficiency, accuracy and applicability to discriminate microsatellite polymorphism have not been extensively assessed. The traditional protocols used for SSR genotyping include PCR amplification of the DNA fragment and the separation of the fragments on electrophoresis-based platform. However, post-PCR handling processes are laborious and costly. Furthermore, SNPs present in the sequences flanking repeat motif cannot be detected by polyacrylamide-gel-electrophoresis based methods. In the present study, we compared the discriminating power of HRM with the traditional electrophoresis-based methods and provided a panel of primers for HRM genotyping in Citrus. The results showed that sixteen SSR markers produced distinct polymorphic melting curves among the Citrus spp investigated through HRM analysis. Among those, 10 showed more genotypes by HRM analysis than capillary electrophoresis owing to the presence of SNPs in the amplicons. For the SSR markers without SNPs present in the flanking region, HRM also gave distinct melting curves which detected same genotypes as were shown in capillary electrophoresis (CE) analysis. Moreover, HRM analysis allowed the discrimination of most of the 15 citrus genotypes and the resulting genetic distance analysis clustered them into three main branches. In conclusion, it has been approved that HRM is not only an efficient and cost-effective alternative of electrophoresis-based method for SSR markers, but also a method to uncover more polymorphisms contributed by SNPs present in SSRs. It was therefore suggested that the panel of SSR markers could be used in a variety of applications in the citrus biodiversity and breeding programs using HRM analysis. Furthermore, we speculate that the HRM analysis can be employed to analyse SSR markers in a wide range of applications in all other species.     

DNA melting analysis: application of the "open tube" format for detection of mutant KRAS

High-resolution melting (HRM) analysis is a very effective method for genotyping and mutation scanning that is usually performed just after PCR amplification (the “closed tube” format). Though simple and convenient, the closed tube format makes the HRM dependent on the PCR mix, not generally optimal for DNA melting analysis. Here, the “open tube” format, namely the post-PCR optimization procedure (amplicon shortening and solution chemistry modification), is proposed. As a result, mutation scanning of short amplicons becomes feasible on a standard real-time PCR instrument (not primarily designed for HRM) using SYBR Green I. This approach has allowed us to considerably enhance the sensitivity of detecting mutant KRAS using both low- and high-resolution systems (the Bio-Rad iQ5–SYBR Green I and Bio-Rad CFX96–EvaGreen, respectively). The open tube format, though more laborious than the closed tube one, can be used in situations when maximal sensitivity of the method is needed. It also permits standardization of DNA melting experiments and the introduction of instruments of a “lower level” into the range of those suitable for mutation scanning.