Amplicon melting analysis with labeled primers: a closed-tube method for differentiating homozygotes and heterozygotes

Rapid identification of bacteria associated with Acute Oak Decline by high-resolution melt analysis

Two Gram-negative Enterobacteriaceae, Gibbsiella quercinecans and Brenneria goodwinii, are frequently isolated from oak suffering from Acute Oak Decline. These two species are difficult to identify based on colony morphology, carbohydrate utilization or 16S rRNA gene sequence, and identification using gyrB gene sequencing is time-consuming and laborious. A rapid identification technique, based on high-resolution melt analysis of the atpD gene, was designed to efficiently process numerous isolates from an increasing number of affected woodlands and parks. Principal component analysis of the resulting melt curves from strains of G. quercinecans, B. goodwinii and their close phylogenetic relatives allowed differentiation into distinct clusters based on species or subspecies identity.

SIGNIFICANCE AND IMPACT OF THE STUDY

Acute Oak Decline is an increasing threat to Britain's native oak population. Two novel bacterial species both belonging to the family Enterobacteriaceae, Gibbsiella quercinecans and Brenneria goodwinii, are thought to play an important role in symptom development. Here, we describe a rapid identification technique using high-resolution melt analysis of the atpD gene able to assign isolates to either G. quercinecans or B. goodwinii in a single assay, greatly reducing the time taken to identify if either or both of these species are present in symptomatic oak.

The parthenocarpic hydra mutant reveals a new function for a SPOROCYTELESS-like gene in the control of fruit set in tomato

Fruit set is an essential process to ensure successful sexual plant reproduction. The development of the flower into a fruit is actively repressed in the absence of pollination. However, some cultivars from a few species are able to develop seedless fruits overcoming the standard restriction of unpollinated ovaries to growth. We report here the identification of the tomato hydra mutant that produces seedless (parthenocarpic) fruits. Seedless fruit production in hydra plants is linked to the absence of both male and female sporocyte development. The HYDRA gene is therefore essential for the initiation of sporogenesis in tomato. Using positional cloning, virus-induced gene silencing and expression analysis experiments, we identified the HYDRA gene and demonstrated that it encodes the tomato orthologue of SPOROCYTELESS/NOZZLE (SPL/NZZ) of Arabidopsis. We found that the precocious growth of the ovary is associated with changes in the expression of genes involved in gibberellin (GA) metabolism. Our results support the conservation of the function of SPL-like genes in the control of sporogenesis in plants. Moreover, this study uncovers a new function for the tomato SlSPL/HYDRA gene in the control of fruit initiation.

Application of high resolution melting assay (HRM) to study temperature-dependent intraspecific competition in a pathogenic bacterium

Studies on species’ responses to climate change have focused largely on the direct effect of abiotic factors and in particular temperature, neglecting the effects of biotic interactions in determining the outcome of climate change projections. Many microbes rely on strong interference competition; hence the fitness of many pathogenic bacteria could be a function of both their growth properties and intraspecific competition. However, due to technical challenges in distinguishing and tracking individual strains, experimental evidence on intraspecific competition has been limited so far. Here, we developed a robust application of the high-resolution melting (HRM) assay to study head-to-head competition between mixed genotype co-cultures of a waterborne bacterial pathogen of fish, Flavobacterium columnare, at two different temperatures. We found that competition outcome in liquid cultures seemed to be well predicted by growth yield of isolated strains, but was mostly inconsistent with interference competition results measured in inhibition tests on solid agar, especially as no growth inhibition between strain pairs was detected at the higher temperature. These results suggest that, for a given temperature, the factors driving competition outcome differ between liquid and solid environments.

Rapid screening for targeted genetic variants via high-resolution melting curve analysis

BACKGROUND

Current methods for the detection of single nucleotide polymorphisms (SNPs) associated with aberrant drug-metabolizing enzyme function are hindered by long turnaround times and specialized techniques and instrumentation. In this study, we describe the development and validation of a high-resolution melting (HRM) curve assay for the rapid screening of variant genotypes for targeted genetic polymorphisms in the cytochrome P450 enzymes CYP2C9, CYP2C19, and CYP3A5.

METHODS

Sequence-specific primers were custom-designed to flank nine SNPs within the genetic regions of aforementioned drug metabolizing enzymes. PCR amplification was performed followed by amplicon denaturation by precise temperature ramping in order to distinguish genotypes by melting temperature (Tm). A standardized software algorithm was used to assign amplicons as 'reference' or 'variant' as compared to duplicate reference sequence DNA controls for each SNP.

RESULTS

Intra-assay (n=5) precision of Tms for all SNPs was ≤0.19%, while inter-assay (n=20) precision ranged from 0.04% to 0.21%. When compared to a reference method of Sanger sequencing, the HRM assay produced no false negative results, and overcall frequency ranged from 0% to 26%, depending on the SNP. Furthermore, HRM genotyping displayed accuracy over input DNA concentrations ranging from 10 to 200 ng/μL.

CONCLUSIONS

The presented assay provides a rapid method for the screening for genetic variants in targeted CYP450 regions with a result of 'reference' or 'variant' available within 2 h from receipt of extracted DNA. The method can serve as a screening approach to rapidly identify individuals with variant sequences who should be further investigated by reflexed confirmatory testing for aberrant cytochrome P450 enzymatic activity. Rapid knowledge of variant status may aid in the avoidance of adverse clinical events by allowing for dosing of normal metabolizer patients immediately while identifying the need to wait for confirmatory testing in those patients who are likely to possess pharmacogenetically-relevant variants.

A novel HRM assay for the simultaneous detection and differentiation of eight poxviruses of medical and veterinary importance

Poxviruses belonging to the Orthopoxvirus, Capripoxvirus and Parapoxvirus genera share common host species and create a challenge for diagnosis. Here, we developed a novel multiplex PCR method for the simultaneous detection and differentiation of eight poxviruses, belonging to three genera: cowpox virus (CPXV) and camelpox virus (CMLV) [genus Orthopoxvirus]; goatpox virus (GTPV), sheeppox virus (SPPV) and lumpy skin disease virus (LSDV) [genus Capripoxvirus]; orf virus (ORFV), pseudocowpox virus (PCPV) and bovine papular stomatitis virus (BPSV) [genus Parapoxvirus]. The assay is based on high-resolution melting curve analysis (HRMCA) of PCR amplicons produced using genus specific primer pairs and dsDNA binding dye. Differences in fragment size and GC content were used as discriminating power. The assay generated three well separated melting regions for each genus and provided additional intra-genus genotyping allowing the differentiation of the eight poxviruses based on amplicon melting temperature. Out of 271 poxviral DNA samples tested: seven CPXV, 25 CMLV, 42 GTPV, 20 SPPV, 120 LSDV, 33 ORFV, 20 PCPV and two BPSV were detected; two samples presented co-infection with CMLV and PCPV. The assay provides a rapid, sensitive, specific and cost-effective method for the detection of pox diseases in a broad range of animal species and humans.

High-resolution melting analysis for rapid and sensitive NOTCH1 screening in chronic lymphocytic leukemia

Chronic lymphocytic leukemia (CLL) is a biological and clinical heterogeneous disease. Activating mutations of NOTCH1 have been implicated to be associated with adverse prognosis in CLL. The objective of the present study was to develop an effective high-resolution melting (HRM) assay for detecting NOTCH1 mutations. Genomic DNA (gDNA) extracted from 133 CLL patients was screened by HRM assay, and the results were compared with the data obtained using direct sequencing. The relative sensitivity of the HRM assay and direct sequencing was evaluated using diluted gDNA with different NOTCH1 mutational frequencies. The HRM assay was able to detect and discriminate samples with NOTCH1 mutations from the wild-type template in CLL. Eight of the 133 CLL patients (6.02%) were scored positively for NOTCH1 mutations in the HRM assay. The results of the NOTCH1 mutations detected by HRM analysis achieved 100% concordance with those determined from direct sequencing. HRM had a higher sensitivity (1%) and shorter turn-around time (TAT), compared to direct sequencing. In conclusion, the HRM assay developed by us was confirmed to be a rapid, sensitive, and promising approach for high-throughput prognostic NOTCH1 screening in CLL. It enables real-time NOTCH1 evaluation, which is of great significance in clinical practice and may facilitate the decision-making of clinicians in CLL.

PCR-Based Detection Methods for Single-Nucleotide Polymorphism or Mutation: Real-Time PCR and Its Substantial Contribution Toward Technological Refinement

Single-nucleotide polymorphisms (SNPs) and single-nucleotide mutations result from the substitution of only a single base. The SNP or mutation can be relevant to disease susceptibility, pathogenesis of disease, and efficacy of specific drugs. It is important to detect SNPs or mutations clinically. Methods to distinguish/detect SNPs or mutations should be highly specific and sensitive. In this regard, polymerase chain reaction (PCR) has provided the necessary analytical performance for many molecular analyses. PCR-based methods for SNP/mutation detection are broadly categorized into two types-(1) polymorphic or mutant allele-directed specific analysis using primers matched with substituted nucleotide or using oligonucleotides to block or clamp the nontargeted template, and (2) melting curve analysis, which is combined with the real-time PCR techniques using hydrolysis probes, hybridization probes, or double-stranded DNA-binding fluorescent dyes. Innovative and novel approaches as well as technical improvements have made SNP- or mutation-detection methods increasingly more sophisticated. These advances include DNA/RNA preparation and subsequent amplification steps, and miniaturization of PCR instruments such that testing may be performed with relative ease in clinical laboratories or as a point-of-care test in clinical settings.

Automated melting curve analysis in droplet microfluidics for single nucleotide polymorphisms (SNP) genotyping

An integrated microchip platform with automated analysis capability for DNA melting curves is developed for Single Nucleotide Polymorphism (SNP) genotyping applications.

Gateway-Compatible CRISPR-Cas9 Vectors and a Rapid Detection by High-Resolution Melting Curve Analysis

CRISPR-Cas9 system rapidly became an indispensable tool in plant biology to perform targeted mutagenesis. A CRISPR-Cas9-mediated double strand break followed by non-homologous end joining (NHEJ) repair most frequently results in a single base pair deletion or insertions (indels), which is hard to detect using methods based on enzymes that detect heteroduplex DNA. In addition, somatic tissues of the T1 generation inevitably contain a mosaic population, in which the portion of cells carrying the mutation can be too small to be detected by the enzyme-based methods. Here we report an optimized experimental protocol for detecting Arabidopsis mutants carrying a CRISPR-Cas9 mediated mutation, using high-resolution melting (HRM) curve analysis. Single-base pair insertion or deletion (indel) can be easily detected using this method. We have also examined the detection limit for the template containing a one bp indel compared to the WT genome. Our results show that <5% of mutant DNA containing one bp indel can be detected using this method. The vector developed in this study can be used with a Gateway technology-compatible derivative of pCUT vectors, with which off-target mutations could not be detected even by a whole genome sequencing.

Eggplant Resistance to the Ralstonia solanacearum Species Complex Involves Both Broad-Spectrum and Strain-Specific Quantitative Trait Loci

Bacterial wilt (BW) is a major disease of solanaceous crops caused by the Ralstonia solanacearum species complex (RSSC). Strains are grouped into five phylotypes (I, IIA, IIB, III, and IV). Varietal resistance is the most sustainable strategy for managing BW. Nevertheless, breeding to improve cultivar resistance has been limited by the pathogen's extensive genetic diversity. Identifying the genetic bases of specific and non-specific resistance is a prerequisite to breed improvement. A major gene (ERs1) was previously mapped in eggplant (Solanum melongena L.) using an intraspecific population of recombinant inbred lines derived from the cross of susceptible MM738 (S) × resistant AG91-25 (R). ERs1 was originally found to control three strains from phylotype I, while being totally ineffective against a virulent strain from the same phylotype. We tested this population against four additional RSSC strains, representing phylotypes I, IIA, IIB, and III in order to clarify the action spectrum of ERs1. We recorded wilting symptoms and bacterial stem colonization under controlled artificial inoculation. We constructed a high-density genetic map of the population using single nucleotide polymorphisms (SNPs) developed from genotyping-by-sequencing and added 168 molecular markers [amplified fragment length polymorphisms (AFLPs), simple sequence repeats (SSRs), and sequence-related amplified polymorphisms (SRAPs)] developed previously. The new linkage map based on a total of 1,035 markers was anchored on eggplant, tomato, and potato genomes. Quantitative trait locus (QTL) mapping for resistance against a total of eight RSSC strains resulted in the detection of one major phylotype-specific QTL and two broad-spectrum QTLs. The major QTL, which specifically controls three phylotype I strains, was located at the bottom of chromosome 9 and corresponded to the previously identified major gene ERs1. Five candidate R-genes were underlying this QTL, with different alleles between the parents. The two other QTLs detected on chromosomes 2 and 5 were found to be associated with partial resistance to strains of phylotypes I, IIA, III and strains of phylotypes IIA and III, respectively. Markers closely linked to these three QTLs will be crucial for breeding eggplant with broad-spectrum resistance to BW. Furthermore, our study provides an important contribution to the molecular characterization of ERs1, which was initially considered to be a major resistance gene.

Instrument Comparison for Dna Genotyping by Amplicon Melting

DNA melting analysis for the identification of sequence is increasingly used in molecular diagnostics. Recent advances in DNA melting analysis, including high-resolution instrumentation and specialized fluorescent DNA-binding dyes, allow genotyping by whole amplicon melting without probes. With the popularity of melting analysis as a diagnostic tool, there is a need to characterize the ability of commercially available real-time PCR instruments to perform high-resolution amplicon melting analyses. Four real-time instruments varying in sample format, throughput, and heat transfer (Cepheid's SmartCycler, Idaho Technology's HR-1, and Roche's LightCycler 1.2 and LightCycler 2.0) were evaluated for their ability to differentiate homozygous genotypes at the human β-globin sickle cell locus. The melting transition was monitored by including the dye LCGreen Plus in the PCR, and the data were uniformly analyzed with custom in-house software. The wild-type and mutant homozygous genotypes differed by a theoretical Tm of 0.09°C and were best discriminated by the high-resolution HR-1 instrument. All instruments could identify a double single nucleotide polymorphism heterozygote by the heteroduplexes formed. However, signal-to-noise ratios varied from 260 to 3500, suggesting that melting instrument design (data acquisition, data density, thermal control) determines the accuracy of genotyping by amplicon melting. (JALA 2006;11:273-7)

The high resolution melting analysis (HRM) as a molecular tool for monitoring parasites of the wildlife

In an interconnected world, the international pet trade on wild animals is becoming increasingly important. As a consequence, non-native parasite species are introduced, which affect the health of wildlife and contribute to the loss of biodiversity. Because the investigation of parasite diversity within vulnerable host species implies the molecular identification of large samples of parasite eggs, the sequencing of DNA barcodes is time-consuming and costly. Thereby, the objectives of our study were to apply the high resolution melting (HRM) approach for species determination from pools of parasite eggs. Molecular assays were validated on flatworm parasites (polystomes) infecting the Mediterranean pond turtle Mauremys leprosa and the invasive red-eared slider Trachemys scripta elegans in French natural environments. HRM analysis results indicated that double or multiple parasitic infections could be detected from wild animal populations. They also showed that the cycle of parasite eggs production was not regular over time and may depend on several factors, among which the ecological niche and the target species. Thereby, monitoring parasites from wild endangered animals implies periodic parasitological surveys to avoid false negative diagnostics, based solely on eggs production.

High-resolution melt analysis without DNA extraction affords rapid genotype resolution and species identification

Extracting and sequencing DNA from specimens can impose major time and monetary costs to studies requiring genotyping, or identification to species, of large numbers of individuals. As such, so-called direct PCR methods have been developed enabling significant savings at the DNA extraction step. Similarly, real-time quantitative PCR techniques (qPCR) offer very cost-effective alternatives to sequencing. High-resolution melt analysis (HRM) is a qPCR method that incorporates an intercalating dye into a double-stranded PCR amplicon. The dye fluoresces brightly, but only when it is bound. Thus, after PCR, raising the temperature of the amplicon while measuring the fluorescence of the reaction results in the generation of a sequence-specific melt curve, allowing discrimination of genotypes. Methods combining HRM (or other qPCR methods) and direct PCR have not previously been reported, most likely due to concerns that any tissue in the reaction tube would interfere with detection of the fluorescent signal. Here, we couple direct PCR with HRM and, by way of three examples, demonstrate a very quick and cost-effective method for genotyping large numbers of specimens, using Rotor-Gene HRM instruments (QIAGEN). In contrast to the heated-block design of most qPCR/HRM instruments, the Rotor-Gene's centrifugal rotor and air-based temperature-regulation system facilitate our method by depositing tissues away from the pathway of the machine's fluorescence detection optics.

Precise Detection of IDH1/2 and BRAF Hotspot Mutations in Clinical Glioma Tissues by a Differential Calculus Analysis of High-Resolution Melting Data

High resolution melting (HRM) is a simple and rapid method for screening mutations. It offers various advantages for clinical diagnostic applications. Conventional HRM analysis often yields equivocal results, especially for surgically obtained tissues. We attempted to improve HRM analyses for more effective applications to clinical diagnostics. HRM analyses were performed for IDH1^R132 and IDH2^R172 mutations in 192 clinical glioma samples in duplicate and these results were compared with sequencing results. BRAF^V600E mutations were analyzed in 52 additional brain tumor samples. The melting profiles were used for differential calculus analyses. Negative second derivative plots revealed additional peaks derived from heteroduplexes in PCR products that contained mutations; this enabled unequivocal visual discrimination of the mutations. We further developed a numerical expression, the HRM-mutation index (MI), to quantify the heteroduplex-derived peak of the mutational curves. Using this expression, all IDH1 mutation statuses matched those ascertained by sequencing, with the exception of three samples. These discordant results were all derived from the misinterpretation of sequencing data. The effectiveness of our approach was further validated by analyses of IDH2^R172 and BRAF^V600E mutations. The present analytical method enabled an unequivocal and objective HRM analysis and is suitable for reliable mutation scanning in surgically obtained glioma tissues. This approach could facilitate molecular diagnostics in clinical environments.

The source of SYBR green master mix determines outcome of nucleic acid amplification reactions

BACKGROUND

Quantitative (q) PCR by amplification of nucleic acid with a fluorescent dye is widely used. Selection of adequate PCR reagents and devices is relevant to achieve reliable and consistent data. Our main objective was to test the robustness of different commercial SYBR green PCR mixes with respect to specificity and sensitivity of the PCR assay, across various PCR machines (Light Cycler 96, ViiA7) and amplification protocols. Herein, we applied PCR protocols for determining mRNA transcript levels, DNA copy numbers, and DNA genotype.

RESULTS

First, we set up 70 primer-based assays that targeted immune-related mRNA transcripts. Of the 70 assays 66 (94.3 %) resulted in a single melting curve peak, indicating specificity of the amplification, with PCR mixes from large vendors (Roche, ABI, Bio-Rad). But this was only seen when the PCR protocol that was indicated in the vendor's guidelines for each particular mix was applied. When deviating from the prescribed protocol, suboptimal melting curves were most often seen when using Roche SYBR green. With respect to PCR yields, the use of ABI mix more often led to lower Cq values. Second, we set up 20 primer-selective PCR assays to target different insertion-deletion and single nucleotide polymorphism regions throughout the genome. The variation in delta Cq between positive and negative DNA samples among the PCR assays was the lowest when using ABI master mix. Finally, the quality of high resolution melting (HRM) assays for DNA genotyping was compared between four commercial HRM PCR mixes (Roche, Bioline, PCR Biosystems, ABI). Only Roche and ABI mixes produced optimal clusters of melting profiles that clearly distinguished genotype variants.

CONCLUSIONS

The current results show a preference for the use of ABI mix when it comes to obtaining higher sensitivity in cDNA analysis and a higher consistency among assays in distinguishing DNA genotypes among different individuals. For HRM assays, it is advisable to use master mix from a relatively large vendor.

A sensitive mutation screening method supporting cell line development for biotherapeutics

Random genetic mutations, which can occur during cell line development, can lead to sequence variants that comprise pharmaceutical product quality generated by recombinant technology. Mutation screening can minimize the probability of selecting clones harboring sequence variants. Here we report a polymerase chain reaction (PCR)-based mutation screening approach using high-resolution melting (HRM) analysis combined with a mutation enrichment step using limiting dilution to detect low-level mutations at 0.5%. The method allows unknown mutation discovery regardless of its location in a transgene as well as independent of its position in an HRM fragment, ranging from approximately 200 to 300 bp in size.

Assessment of high resolution melt analysis feasibility for evaluation of beta-globin gene mutations as a reproducible, cost-efficient and fast alternative to the present conventional method

Background:

Beta-thalassemia is the most prevalent monogenic disease throughout the world. It was the first genetic disorder nominated for nation-wide prevention programs involving population screening for heterozygotes and prenatal diagnosis (PND) in Iran. Due to the high prevalence of beta-thalassemia, the shift from conventional mutation detection methods to more recently developed techniques based on novel innovative technologies are essential. We aimed to develop a real-time polymerase chain reaction (PCR) based protocol using high resolution melting (HRM) analysis for diagnosis of common beta-thalassemia mutations.

Materials and Methods:

Forty DNA samples extracted from peripheral blood of suspected beta-thalassemia carriers participated in this study were subjected to amplification refractory mutation system (ARMS). We then used 20 of these samples for HRM optimization. When 100% sensitivity and specificity was obtained with HRM procedure, we applied the technique for mutation detection on another remaining 20 samples as thalassemia cases with unknown mutations (detected mutations with ARMS-PCR kept confidential). Finally, the HRM procedure applied on 2 chorionic villous sample (CVS) biopsied from 12 weeks gestational age pregnant women for routine PND analysis.

Results:

In the first step of study, Fr 8/9 (+G), IVSI-1 (G > A), IVSI-5 (G > C), IVSI-110 (G > A), and CD44 (−C) mutations were diagnosed in samples under study using ARMS-PCR technique. Finally, the HRM procedure applied on 20 unknown samples and 2 CVS The results of HRM were in complete concordance with ARMS and confirmed by sequencing.

Conclusions:

The advantages of HRM analysis over conventional methods is high throughput, rapid, accurate, cost-effective, and reproducible.

Systematic quantification of HDR and NHEJ reveals effects of locus, nuclease, and cell type on genome-editing

Precise genome-editing relies on the repair of sequence-specific nuclease-induced DNA nicking or double-strand breaks (DSBs) by homology-directed repair (HDR). However, nonhomologous end-joining (NHEJ), an error-prone repair, acts concurrently, reducing the rate of high-fidelity edits. The identification of genome-editing conditions that favor HDR over NHEJ has been hindered by the lack of a simple method to measure HDR and NHEJ directly and simultaneously at endogenous loci. To overcome this challenge, we developed a novel, rapid, digital PCR–based assay that can simultaneously detect one HDR or NHEJ event out of 1,000 copies of the genome. Using this assay, we systematically monitored genome-editing outcomes of CRISPR-associated protein 9 (Cas9), Cas9 nickases, catalytically dead Cas9 fused to FokI, and transcription activator–like effector nuclease at three disease-associated endogenous gene loci in HEK293T cells, HeLa cells, and human induced pluripotent stem cells. Although it is widely thought that NHEJ generally occurs more often than HDR, we found that more HDR than NHEJ was induced under multiple conditions. Surprisingly, the HDR/NHEJ ratios were highly dependent on gene locus, nuclease platform, and cell type. The new assay system, and our findings based on it, will enable mechanistic studies of genome-editing and help improve genome-editing technology.

High-resolution melt and morphological analyses of mealybugs (Hemiptera: Pseudococcidae) from cacao: tools for the control of Cacao swollen shoot virus spread

BACKGROUND

Mealybugs (Hemiptera: Coccoidea: Pseudococcidae) are key vectors of badnaviruses, including Cacao swollen shoot virus (CSSV), the most damaging virus affecting cacao (Theobroma cacao L.). The effectiveness of mealybugs as virus vectors is species dependent, and it is therefore vital that CSSV resistance breeding programmes in cacao incorporate accurate mealybug identification. In this work, the efficacy of a CO1-based DNA barcoding approach to species identification was evaluated by screening a range of mealybugs collected from cacao in seven countries.

RESULTS

Morphologically similar adult females were characterised by scanning electron microscopy, and then, following DNA extraction, were screened with CO1 barcoding markers. A high degree of CO1 sequence homology was observed for all 11 individual haplotypes, including those accessions from distinct geographical regions. This has allowed the design of a high-resolution melt (HRM) assay capable of rapid identification of the commonly encountered mealybug pests of cacao.

CONCLUSIONS

HRM analysis readily differentiated between mealybug pests of cacao that cannot necessarily be identified by conventional morphological analysis. This new approach, therefore, has potential to facilitate breeding for resistance to CSSV and other mealybug-transmitted diseases.

Rapid detection and typing of pathogenic nonpneumophila Legionella spp. isolates using a multiplex real-time PCR assay

We developed a single tube multiplex real-time PCR assay that allows for the rapid detection and typing of 9 nonpneumophila Legionella spp. isolates that are clinically relevant. The multiplex assay is capable of simultaneously detecting and discriminating L. micdadei, L. bozemanii, L. dumoffii, L. longbeachae, L. feeleii, L. anisa, L. parisiensis, L. tucsonensis serogroup (sg) 1 and 3, and L. sainthelensis sg 1 and 2 isolates. Evaluation of the assay with nucleic acid from each of these species derived from both clinical and environmental isolates and typing strains demonstrated 100% sensitivity and 100% specificity when tested against 43 other Legionella spp. Typing of L. anisa, L. parisiensis, and L. tucsonensis sg 1 and 3 isolates was accomplished by developing a real-time PCR assay followed by high-resolution melt (HRM) analysis targeting the ssrA gene. Further typing of L. bozemanii, L. longbeachae, and L. feeleii isolates to the serogroup level was accomplished by developing a real-time PCR assay followed by HRM analysis targeting the mip gene. When used in conjunction with other currently available diagnostic tests, these assays may aid in rapidly identifying specific etiologies associated with Legionella outbreaks, clusters, sporadic cases, and potential environmental sources.

Automated Classification and Cluster Visualization of Genotypes Derived from High Resolution Melt Curves

Introduction

High Resolution Melting (HRM) following PCR has been used to identify DNA genotypes. Fluorescent dyes bounded to double strand DNA lose their fluorescence with increasing temperature, yielding different signatures for different genotypes. Recent software tools have been made available to aid in the distinction of different genotypes, but they are not fully automated, used only for research purposes, or require some level of interaction or confirmation from an analyst.

Materials and Methods

We describe a fully automated machine learning software algorithm that classifies unknown genotypes. Dynamic melt curves are transformed to multidimensional clusters of points whereby a training set is used to establish the distribution of genotype clusters. Subsequently, probabilistic and statistical methods were used to classify the genotypes of unknown DNA samples on 4 different assays (40 VKORC1, CYP2C9*2, CYP2C9*3 samples in triplicate, and 49 MTHFR c.665C>T samples in triplicate) run on the Roche LC480. Melt curves of each of the triplicates were genotyped separately.

Results

Automated genotyping called 100% of VKORC1, CYP2C9*3 and MTHFR c.665C>T samples correctly. 97.5% of CYP2C9*2 melt curves were genotyped correctly with the remaining 2.5% given a no call due to the inability to decipher 3 melt curves in close proximity as either homozygous mutant or wild-type with greater than 99.5% posterior probability.

Conclusions

We demonstrate the ability to fully automate DNA genotyping from HRM curves systematically and accurately without requiring any user interpretation or interaction with the data. Visualization of genotype clusters and quantification of the expected misclassification rate is also available to provide feedback to assay scientists and engineers as changes are made to the assay or instrument.

Automated amplicon design suitable for analysis of DNA variants by melting techniques

Background

The technological development of DNA analysis has had tremendous development in recent years, and the present deep sequencing techniques present unprecedented opportunities for detailed and high-throughput DNA variant detection. Although DNA sequencing has had an exponential decrease in cost per base pair analyzed, focused and target-specific methods are however still much in use for analysis of DNA variants. With increasing capacity in the analytical procedures, an equal demand in automated amplicon and primer design has emerged.

Results

We have constructed a web-based tool that is able to batch design DNA variant assay suitable for analysis by denaturing gel/capillary electrophoresis and high resolution melting. The tool is developed as a computational workflow that implements one of the most widely used primer design tools, followed by validation of primer specificity, as well as calculation and visualization of the melting properties of the resulting amplicon, with or without an artificial high melting domain attached. The tool will be useful for scientists applying DNA melting techniques in analysis of DNA variations. The tool is freely available at http://meltprimer.ous-research.no/.

Conclusion

Herein, we demonstrate a novel tool with respect to covering the whole amplicon design workflow necessary for groups that use melting equilibrium techniques to separate DNA variants.

Staying green postharvest: how three mutations in the Arabidopsis chlorophyll b reductase gene NYC1 delay degreening by distinct mechanisms

Stresses such as energy deprivation, wounding and water-supply disruption often contribute to rapid deterioration of harvested tissues. To uncover the genetic regulation behind such stresses, a simple assessment system was used to detect senescence mutants in conjunction with two rapid mapping techniques to identify the causal mutations. To demonstrate the power of this approach, immature inflorescences of Arabidopsis plants that contained ethyl methanesulfonate-induced lesions were detached and screened for altered timing of dark-induced senescence. Numerous mutant lines displaying accelerated or delayed timing of senescence relative to wild type were discovered. The underlying mutations in three of these were identified using High Resolution Melting analysis to map to a chromosomal arm followed by a whole-genome sequencing-based mapping method, termed 'Needle in the K-Stack', to identify the causal lesions. All three mutations were single base pair changes and occurred in the same gene, NON-YELLOW COLORING1 (NYC1), a chlorophyll b reductase of the short-chain dehydrogenase/reductase (SDR) superfamily. This was consistent with the mutants preferentially retaining chlorophyll b, although substantial amounts of chlorophyll b were still lost. The single base pair mutations disrupted NYC1 function by three distinct mechanisms, one by producing a termination codon, the second by interfering with correct intron splicing and the third by replacing a highly conserved proline with a non-equivalent serine residue. This non-synonymous amino acid change, which occurred in the NADPH binding domain of NYC1, is the first example of such a mutation in an SDR protein inhibiting a physiological response in plants.

Simple SNP-based minimal marker genotyping for Humulus lupulus L. identification and variety validation

Background

Hop is an economically important crop for the Pacific Northwest USA as well as other regions of the world. It is a perennial crop with rhizomatous or clonal propagation system for varietal distribution. A big concern for growers as well as brewers is variety purity and questions are regularly posed to public agencies concerning the availability of genotype testing. Current means for genotyping are based upon 25 microsatellites that provides relatively accurate genotyping but cannot always differentiate sister-lines. In addition, numerous PCR runs (25) are required to complete this process and only a few laboratories exist that perform this service. A genotyping protocol based upon SNPs would enable rapid accurate genotyping that can be assayed at any laboratory facility set up for SNP-based genotyping. The results of this study arose from a larger project designed for whole genome association studies upon the USDA-ARS hop germplasm collection consisting of approximately 116 distinct hop varieties and germplasm (female lines) from around the world.

Results

The original dataset that arose from partial sequencing of 121 genotypes resulted in the identification of 374,829 SNPs using TASSEL-UNEAK pipeline. After filtering out genotypes with more than 50 % missing data (5 genotypes) and SNP markers with more than 20 % missing data, 32,206 highly filtered SNP markers across 116 genotypes were identified and considered for this study. Minor allele frequency (MAF) was calculated for each SNP and ranked according to the most informative to least informative. Only those markers without missing data across genotypes as well as 60 % or less heterozygous gamete calls were considered for further analysis. Genetic distances among individuals in the study were calculated using the marker with the highest MAF value, then by using a combination of the two markers with highest MAF values and so on. This process was reiterated until a set of markers was identified that allowed for all genotypes in the study to be genetically differentiated from each other. Next, we compared genetic matrices calculated from the minimal marker sets [(Table 2; 6-, 7-, 8-, 10- and 12-marker set matrices] and that of a matrix calculated from a set of markers with no missing data across all 116 samples (1006 SNP markers). The minimum number of markers required to meet both specifications was a set of 7-markers (Table 3). These seven SNPs were then aligned with a genome assembly, and DNA sequence both upstream and downstream were used to identify primer sequences that can be used to develop seven amplicons for high resolution melting curve PCR detection or other SNP-based PCR detection methods.

Conclusions

This study identifies a set of 7 SNP markers that may prove useful for the identification and validation of hop varieties and accessions. Variety validation of unknown samples assumes that the variety under question has been included a priori in a discovery panel. These results are based upon in silica studies and markers need to be validated using different SNP marker technology upon a differential set of hop genotypes. The marker sequence data and suggested primer sets provide potential means to fingerprint hop varieties in most genetic laboratories utilizing SNP-marker technology.

Electronic supplementary material

The online version of this article (doi:10.1186/s13104-015-1492-2) contains supplementary material, which is available to authorized users.

Use of a New High Resolution Melting Method for Genotyping Pathogenic Leptospira spp

BACKGROUND

Leptospirosis is a worldwide zoonosis that is endemic in tropical areas, such as Reunion Island. The species Leptospira interrogans is the primary agent in human infections, but other pathogenic species, such as L. kirschner and L. borgpetersenii, are also associated with human leptospirosis.

METHODS AND FINDINGS

In this study, a melting curve analysis of the products that were amplified with the primer pairs lfb1 F/R and G1/G2 facilitated an accurate species classification of Leptospira reference strains. Next, we combined an unsupervised high resolution melting (HRM) method with a new statistical approach using primers to amplify a two variable-number tandem-repeat (VNTR) for typing at the subspecies level. The HRM analysis, which was performed with ScreenClust Software, enabled the identification of genotypes at the serovar level with high resolution power (Hunter-Gaston index 0.984). This method was also applied to Leptospira DNA from blood samples that were obtained from Reunion Island after 1998. We were able to identify a unique genotype that is identical to that of the L. interrogans serovars Copenhageni and Icterohaemorrhagiae, suggesting that this genotype is the major cause of leptospirosis on Reunion Island.

CONCLUSIONS

Our simple, rapid, and robust genotyping method enables the identification of Leptospira strains at the species and subspecies levels and supports the direct genotyping of Leptospira in biological samples without requiring cultures.

Fine-mapping of a major QTL controlling angular leaf spot resistance in common bean (Phaseolus vulgaris L.)

KEY MESSAGE

A major QTL for angular leaf spot resistance in the common bean accession G5686 was fine-mapped to a region containing 36 candidate genes. Markers have been developed for marker-assisted selection. Common bean (Phaseolus vulgaris L.) is an important grain legume and an essential protein source for human nutrition in developing countries. Angular leaf spot (ALS) caused by the pathogen Pseudocercospora griseola (Sacc.) Crous and U. Braun is responsible for severe yield losses of up to 80%. Breeding for resistant cultivars is the most ecological and economical means to control ALS and is particularly important for yield stability in low-input agriculture. Here, we report on a fine-mapping approach of a major quantitative trait locus (QTL) ALS4.1(GS, UC) for ALS resistance in a mapping population derived from the resistant genotype G5686 and the susceptible cultivar Sprite. 180 F3 individuals of the mapping population were evaluated for ALS resistance and genotyped with 22 markers distributed over 11 genome regions colocating with previously reported QTL for ALS resistance. Multiple QTL analysis identified three QTL regions, including one major QTL on chromosome Pv04 at 43.7 Mbp explaining over 75% of the observed variation for ALS resistance. Additional evaluation of 153 F4, 89 BC1F2 and 139 F4/F5/BC1F3 descendants with markers in the region of the major QTL delimited the region to 418 kbp harboring 36 candidate genes. Among these, 11 serine/threonine protein kinases arranged in a repetitive array constitute promising candidate genes for controlling ALS resistance. Single nucleotide polymorphism markers cosegregating with the major QTL for ALS resistance have been developed and constitute the basis for marker-assisted introgression of ALS resistance into advanced breeding germplasm of common bean.

Comparison of different DNA binding fluorescent dyes for applications of high-resolution melting analysis

OBJECTIVES

Different applications of high-resolution melting (HRM) analysis have been adopted for a wide range of research and clinical applications. This study compares the performance of selected DNA binding fluorescent dyes for their possible application in HRM.

DESIGN AND METHODS

We compared twelve dyes with basic properties considered relevant for PCR amplification and melting curve analysis. These included PCR inhibition, fluorescence intensity, the ability to generate melting curves and their effect on melting temperature (Tm). Seven of these dyes with promising properties were then evaluated for possible use in basic HRM applications; such as small amplicon genotyping, genotyping of a 1 kb insertion/deletion polymorphism, probe-based genotyping and mutation screening.

RESULTS

Five dyes failed to exhibit promising properties during the first part of the study, and these were excluded from further testing. Of the remaining dyes, SYTO11, SYTO13 and SYTO16 showed better PCR inhibitory and Tm affecting properties compared to commercial HRM dyes LCGreen Plus, EvaGreen and ResoLight. Although the SYTO dyes generally exhibited good discrimination powers in HRM applications, SYTO11 and SYTO14 gave low signal intensity and lower quality results.

CONCLUSIONS

Our results suggest that the best performing dyes for HRM are those commercially offered for HRM analyses. However, the performance of SYTO16 and SYTO13 was comparable to the HRM dyes in the majority of our assays, thus demonstrating that they are also quite suitable for both real-time PCR and HRM applications.

High-resolution melting analysis for genotyping Duffy blood group antigens

Antigens of the Duffy (Fy) blood group are significant in medical transfusions since they may cause serious post-transfusion reactions and hemolytic disease of the fetus and newborn. Results of serotyping performed on donors with reduced or abolished erythrocyte Duffy expression may be misleading, since the Duffy antigen is also present on non-erythroid cells. In such cases only DNA-based genotyping may reveal the actual Duffy antigen status. Here we describe the high-resolution melting (HRM) method for Duffy genotyping, which is a new post-PCR analysis method used for identifying genetic variations in nucleic acid sequences. It is based on the PCR melting curve technique where single nucleotide polymorphism (SNP) in DNA determines a characteristic shape of the melting curve and melting temperature (Tm) of a sample. HRM analysis for FY genotyping can discriminate SNPs in the FY gene through detection of small differences in melting profiles of variants when compared to controls. Recently, we have shown the usefulness of HRM analysis in elucidation of the molecular basis of Duffy-negative phenotype in a Polish family and in large-scale Duffy genotyping.

Diagnostic accuracy of high resolution melting analysis for detection of KRAS mutations: a systematic review and meta-analysis

Increasing evidence points to a negative correlation between KRAS mutations and patients' responses to anti-EGFR monoclonal antibody treatment. Therefore, patients must undergo KRAS mutation detection to be eligible for treatment. High resolution melting analysis (HRM) is gaining increasing attention in KRAS mutation detection. However, its accuracy has not been systematically evaluated. We conducted a meta-analysis of published articles, involving 13 articles with 1,520 samples, to assess its diagnostic accuracy compared with DNA sequencing. The quality of included articles was assessed using the revised Quality Assessment for Studies of Diagnostic Accuracy (QUADAS-2) tools. Random effects models were applied to analyze the performance of pooled characteristics. The overall sensitivity and specificity of HRM were 0.99 (95% confidence interval [CI]: 0.98-1.00) and 0.96 (95%CI: 0.94-0.97), respectively. The area under the summary receiver operating characteristic curve was 0.996. High sensitivity and specificity, less labor, rapid turn-around and the closed-tube format of HRM make it an attractive choice for rapid detection of KRAS mutations in clinical practice. The burden of DNA sequencing can be reduced dramatically by the implementation of HRM, but positive results still need to be sequenced for diagnostic confirmation.

Development and assessment of multiplex high resolution melting assay as a tool for rapid single-tube identification of five Brucella species

BACKGROUND

The zoonosis brucellosis causes economically significant reproductive problems in livestock and potentially debilitating disease of humans. Although the causative agent, organisms from the genus Brucella, can be differentiated into a number of species based on phenotypic characteristics, there are also significant differences in genotype that are concordant with individual species. This paper describes the development of a five target multiplex assay to identify five terrestrial Brucella species using real-time polymerase chain reaction (PCR) and subsequent high resolution melt curve analysis. This technology offers a robust and cost effective alternative to previously described hydrolysis-probe Single Nucleotide Polymorphism (SNP)-based species defining assays.

RESULTS

Through the use of Brucella whole genome sequencing five species defining SNPs were identified. Individual HRM assays were developed to these target these changes and, following optimisation of primer concentrations, it was possible to multiplex all five assays in a single tube. In a validation exercise using a panel of 135 Brucella strains of terrestrial and marine origin, it was possible to distinguish the five target species from the other species within this panel.

CONCLUSION

The HRM multiplex offers a number of diagnostic advantages over previously described SNP-based typing approaches. Further, and uniquely for HRM, the successful multiplexing of five assays in a single tube allowing differentiation of five Brucella species in the diagnostic laboratory in a cost-effective and timely manner is described. However there are possible limitations to using this platform on DNA extractions direct from clinical material.

Melting analysis on microbeads in rapid temperature-gradient inside microchannels for single nucleotide polymorphisms detection

A continuous-flow microchip with a temperature gradient in microchannels was utilized to demonstrate spatial melting analysis on microbeads for clinical Single Nucleotide Polymorphisms (SNPs) genotyping on animal genomic DNA. The chip had embedded heaters and thermometers, which created a rapid and yet stable temperature gradient between 60 °C and 85 °C in a short distance as the detection region. The microbeads, which served as mobile supports carrying the target DNA and fluorescent dye, were transported across the temperature gradient. As the surrounding temperature increased, the fluorescence signals of the microbeads decayed with this relationship being acquired as the melting curve. Fast DNA denaturation, as a result of the improved heat transfer and thermal stability due to scaling, was also confirmed. Further, each individual microbead could potentially bear different sequences and pass through the detection region, one by one, for a series of melting analysis, with multiplex, high-throughput capability being possible. A prototype was tested with target DNA samples in different genotypes (i.e., wild and mutant types) with a SNP location from Landrace sows. The melting temperatures were obtained and compared to the ones using a traditional tube-based approach. The results showed similar levels of SNP discrimination, validating our proposed technique for scanning homozygotes and heterozygotes to distinguish single base changes for disease research, drug development, medical diagnostics, agriculture, and animal production.

Microfluidic Genotyping by Rapid Serial PCR and High-Speed Melting Analysis

BACKGROUND

Clinical molecular testing typically batches samples to minimize costs or uses multiplex lab-on-a-chip disposables to analyze a few targets. In genetics, multiple variants need to be analyzed, and different work flows that rapidly analyze multiple loci in a few targets are attractive.

METHODS

We used a microfluidic platform tailored to rapid serial PCR and high-speed melting (HSM) to genotype 4 single nucleotide variants. A contiguous stream of master mix with sample DNA was pulsed with each primer pair for serial PCR and melting. Two study sites each analyzed 100 samples for F2 (c.*97G&gt;A), F5 (c.1601G&gt;A), and MTHFR (c.665C&gt;T and c.1286A&gt;C) after blinding for genotype and genotype proportions. Internal temperature controls improved melting curve precision. The platform's liquid-handling system automated PCR and HSM.

RESULTS

PCR and HSM were completed in a total of 12.5 min. Melting was performed at 0.5 °C/s. As expected, homozygous variants were separated by melting temperature, and heterozygotes were identified by curve shape. All samples were correctly genotyped by the instrument. Follow-up testing was required on 1.38% of the assays for a definitive genotype.

CONCLUSIONS

We demonstrate genotyping accuracy on a novel microfluidic platform with rapid serial PCR and HSM. The platform targets short turnaround times for multiple genetic variants in up to 8 samples. It is also designed to allow automatic and immediate reflexive or repeat testing depending on results from the streaming DNA. Rapid serial PCR provides a flexible genetic work flow and is nicely matched to HSM analysis.

Classical and new assays for detecting drug resistance in tuberculosis

Tuberculosis is a public health concern worldwide. Particularly worrying is the emergence of severe forms of drug resistance, such as extensively drug resistant and totally drug resistant tuberculosis, with few treatment options for the afflicted patients. To avoid further spread of drug resistance, its early detection is extremely important. Conventional phenotypic procedures to detect drug resistance depended on the in vitro slow growth of the bacteria. More recent molecular approaches such as reverse-hybridization assays and real-time PCR tests have been introduced. Newer options proposed include, faster culture-based methods and whole-genome sequencing and nanotechnology. Not yet available is a real point-of-care test, applied directly in clinical samples and reliable enough for guiding a treatment option.

Assessment of high resolution melting analysis as a potential SNP genotyping technique in forensic casework

High resolution melting (HRM) analysis is a simple, cost effective, closed tube SNP genotyping technique with high throughput potential. The effectiveness of HRM for forensic SNP genotyping was assessed with five commercially available HRM kits evaluated on the ViiA™ 7 Real Time PCR instrument. Four kits performed satisfactorily against forensically relevant criteria. One was further assessed to determine the sensitivity, reproducibility, and accuracy of HRM SNP genotyping. The manufacturer's protocol using 0.5 ng input DNA and 45 PCR cycles produced accurate and reproducible results for 17 of the 19 SNPs examined. Problematic SNPs had GC rich flanking regions which introduced additional melting domains into the melting curve (rs1800407) or included homozygotes that were difficult to distinguish reliably (rs16891982; a G to C SNP). A proof of concept multiplexing experiment revealed that multiplexing a small number of SNPs may be possible after further investigation. HRM enables genotyping of a number of SNPs in a large number of samples without extensive optimization. However, it requires more genomic DNA as template in comparison to SNaPshot®. Furthermore, suitably modifying pre-existing forensic intelligence SNP panels for HRM analysis may pose difficulties due to the properties of some SNPs.

Genotyping Accuracy of High-Resolution DNA Melting Instruments

BACKGROUND

High-resolution DNA melting is a closed-tube method for genotyping and variant scanning that depends on the thermal stability of PCR-generated products. Instruments vary in thermal precision, sample format, melting rates, acquisition, and software. Instrument genotyping accuracy has not been assessed.

METHODS

Each genotype of the single nucleotide variant (SNV) (c.3405–29A&gt;T) of CPS1 (carbamoyl-phosphate synthase 1, mitochondrial) was amplified by PCR in the presence of LCGreen Plus with 4 PCR product lengths. After blinding and genotype randomization, samples were melted in 10 instrument configurations under conditions recommended by the manufacturer. For each configuration and PCR product length, we analyzed 32–96 samples (depending on batch size) with both commercial and custom software. We assessed the accuracy of heterozygote detection and homozygote differentiation of a difficult, nearest-neighbor symmetric, class 4 variant with predicted ΔTm of 0.00 °C.

RESULTS

Overall, the heterozygote accuracy was 99.7% (n = 2141), whereas homozygote accuracy was 70.3% (n = 4441). Instruments with single sample detection as opposed to full-plate imaging better distinguished homozygotes (78.1% and 61.8%, respectively, χ2P &lt; 0.0005). Custom software improved accuracy over commercial software (P &lt; 0.002), although melting protocols recommended by manufacturers were better than a constant ramp rate of 0.1 °C with an oil overlay. PCR products of 51, 100, 272, and 547 bp had accuracies of 72.3%, 83.1%, 59.8%, and 65.9%, respectively (P &lt; 0.0005).

CONCLUSIONS

High-resolution melting detects heterozygotes with excellent accuracy, but homozygote accuracy is dependent on detection mode, analysis software, and PCR product size, as well as melting temperature differences between, and variation within, homozygotes.

High-resolution melt as a screening method in autosomal dominant polycystic kidney disease (ADPKD)

BACKGROUND

Autosomal dominant polycystic kidney disease (ADPKD) is an inherited condition caused by PKD1 and PKD2 mutations. Complete analysis of both genes is typically required in each patient. In this study, we explored the utility of High-Resolution Melt (HRM) as a tool for mutation analysis of the PKD2 gene in ADPKD families.

METHODS

HRM is a mismatch-detection method based on the difference of fluorescence absorbance behavior during the melting of the DNA double strand to denatured single strands in a mutant sample as compared to a reference control. Our families were previously screened by linkage analysis. Subsequently, HRM was used to characterize PKD2-linked families. Amplicons that produced an overlapping profile sample versus wild-type control were not further evaluated, while those amplicons with profile deviated from the control were consequently sequenced.

RESULTS

We analyzed 16 PKD2-linked families by HRM analysis. We observed ten different variations: six single-nucleotide polymorphisms and four mutations. The mutations detected by HRM and confirmed by sequencing were as follows: 1158T>A, 2159delA, 2224C>T, and 2533C>T. In particular, the same haplotype block and nonsense mutation 2533C>T was found in 8 of 16 families, so we suggested the presence of a founder effect in our province.

CONCLUSIONS

We have developed a strategy for rapid mutation analysis of the PKD2 gene in ADPKD families, which utilizes an HRM-based prescreening followed by direct sequencing of amplicons with abnormal profiles. This is a simple and good technique for PKD2 genotyping and may significantly reduce the time and cost for diagnosis in ADPKD.

EMS mutagenesis and qPCR-HRM prescreening for point mutations in an embryogenic cell suspension of grapevine

KEY MESSAGE

Embryogenic suspension cultures are suitable for EMS mutagenesis in grapevine, and HRM prescreening of EMS-treated somatic embryo clusters allows rapid detection of point mutations before plant regeneration.

ABSTRACT

Somatic embryogenesis is an excellent system for induced mutagenesis and clonal propagation in woody plants. Our work was focused on establishing a procedure for inducing ethyl methanesulfonate (EMS) mutagenesis in grapevine. Embryogenic cell aggregates (ECAs) growing in liquid medium were treated with increasing concentrations of EMS. We found that EMS dramatically affects the viability of ECAs at concentrations above 20 mM (25.5 ± 2.9 % survival), whereas concentrations above 10 mM affect embryogenic potential (22.1 ± 1.7 % of ECAs gave rise to embryos). Embryo masses generated from EMS-treated embryogenic cell aggregates were prescreened by quantitative PCR-High Resolution Melting (qPCR-HRM) to detect single nucleotide polymorphisms (SNPs) in a 1,000-bp VvNCED1-encoding DNA fragment, which served as the target gene. Detected mutations were verified in regenerated plants by PCR and sequencing. qPCR-HRM analysis of the difference plots for the fluorescence signals allowed detection of a mutation in a sample from an embryogenic aggregate treated with 10 mM EMS. To confirm the nature of the mutation, embryos from this aggregate were recovered and germinated, and leaves were collected for PCR and sequencing analysis. The alignment of sequences from regenerated plants with the wild-type sequence revealed a transitional mutation (G/C to A/T) in the 1,000-bp VvNCED1-encoding region. To our knowledge, this is the first time that EMS mutagenesis has been performed using an embryogenic cell suspension of grapevine.

High-resolution melting analyses for genetic variants in ARID5B and IKZF1 with childhood acute lymphoblastic leukemia susceptibility loci in Taiwan

BACKGROUND

Childhood acute lymphoblastic leukemia (ALL), a heterogeneous disease that includes multiple subtypes is defined by cell lineage and chromosome anomalies. Previous genome-wide association studies have reported several ARID5B and IKZF1 single nucleotide polymorphisms (SNPs) associated with the incidence of ALL. High-resolution melting (HRM) analysis is a rapid and convenient technique to detect SNPs; we thereby detected SNPs in ARID5B and IKZF1 genes.

METHODS

We enrolled 79 pediatric ALL patients and 80 healthy controls. Polymorphic variants of IKZF1 (rs6964823, rs4132601, and rs6944602) and ARID5B (rs7073837, rs10740055, and rs7089424) were detected by HRM, and SNPs were analyzed for association with childhood ALL.

RESULTS

The distribution of genotype rs7073837 in ARID5B significantly differed between ALL and controls (P=0.046), while those of IKZF1 (rs6964823, rs4132601, and rs6944602) and ARID5B (rs10740055 and rs7089424) did not. We analyzed the association for SNPs with B lineage ALL to find rs7073837 in ARID5B, conferring a higher risk for B lineage ALL (odds ratio, OR=1.70, 95% confidence interval, CI=1.01-2.87, P=0.049).

CONCLUSION

HRM is a practical method to detect SNPs in ARID5B and IKZF1 genes. We found that rs7073837 in ARID5B correlated with a risk for childhood B lineage ALL.

Rapid detection and identification of nontuberculous mycobacterial pathogens in fish by using high-resolution melting analysis

Mycobacterial infections in fish are commonly referred to as piscine mycobacteriosis, irrespectively of the specific identity of the causal organism. They usually cause a chronic disease and sometimes may result in high mortalities and severe economic losses. Nearly 20 species of Mycobacterium have been reported to infect fish. Among them, Mycobacterium marinum, M. fortuitum, and M. chelonae are generally considered the major agents responsible for fish mycobacteriosis. As no quick and inexpensive diagnostic test exists, we tested the potential of high-resolution melting analysis (HRMA) to rapidly identify and differentiate several Mycobacterium species involved in fish infections. By analyzing both the melting temperature and melting profile of the 16S-23S rRNA internal transcribed spacer (ITS), we were able to discriminate 12 different species simultaneously. Sensitivity tests conducted on purified M. marinum and M. fortuitum DNA revealed a limit of detection of 10 genome equivalents per reaction. The primers used in this procedure did not lead to any amplification signal with 16 control non-Mycobacterium species, thereby demonstrating their specificity for the genus Mycobacterium.