A novel high-resolution melting analysis-based method for Yersinia pseudotuberculosis genotyping

Discrimination of human papillomavirus genotypes using innovative technique nested-high resolution melting

The prompt detection of human papillomavirus and discrimination of its genotypes by combining conventional methods in new molecular laboratories is essential to achieve the global call of eliminating cervical cancer. After predicting the melting temperature of an approximately 221 bp region of the L1 gene from different HPV genotypes by bioinformatics software, an innovative technique based on the nested- high resolution melting was designed with three approaches and using conventional PCR, qPCR, and diagnostic standards. HPV-positive samples identified by microarray along with diagnostic standards were evaluated by qPCR-HRM and discordant results were subjected to sequencing and analyzed in silico using reference types. In addition to screening for human papillomavirus, nested-qPCR-HRM is one of the modified HRM techniques which can discriminate some genotypes, including 6, 16, 18, 52, 59, 68 and 89. Despite the differences in diagnostic capabilities among HRM, microarray and sequencing, a number of similarities between HRM, and sequencing were diagnostically identified as the gold standard method. However, the bioinformatics analysis and melting temperature studies of the selected region in different HPV genotypes showed that it could be predicted. With numerous HPV genotypes and significant genetic diversity among them, determining the virus genotype is important. Therefore, our goal in this design was to use the specific molecular techniques with several specific primers to increase sensitivity and specificity for discriminating a wide range of HPV genotypes. This approach led to new findings to evaluate the ability of different approaches and procedures in accordance with bioinformatics.

High-Resolution Melting (HRM) for rapid MLST analysis of Neisseria meningitidis

The genetic characterization of meningococcal isolates is extremely important for the epidemiological monitoring of meningococcal disease, through the identification of circulating epidemic clones, with the purpose of supporting specific actions of Health Surveillance to contain outbreaks. The objective of this work is to determine a strategy for the epidemiological control of Neisseria meningitidis (Nm) through the detection of genetic signatures of Multilocus Sequence Typing (MLST) genes, by the method of high-resolution DNA melting analysis (qPCR-HRM), to identify the main hypervirulent clones circulating in the country. We analyzed 65 cc103 strains, 19 cc11, 38 cc32 and 8 cc41/44 and 17 were not associated to a specific cc. For the abcZ gene a total of 112 strains were tested, 79 for adk and gdh genes, 87 for aroE, 27 for fumC and 70 strains for pdhC gene. The results obtained were compared and validated with nucleotide sequencing. The percentage of correct allele detection for each clonal complex ranged between 77% and 100%. After an active search in PubMLST, it was found that by inserting results from at least 4 alleles in the MLST database, it is possible to determine the clonal complex of 99% to 100% of the deposited samples. The results obtained in this study suggest that it is possible to identify Nm clonal complexes by a combination analysis of melting curves (TM) of four constitutional genes included in the MLST scheme by qPCR-HRM.

Molecular typing of Campylobacter jejuni strains: comparison among four different techniques

This study compared the ability of pulsed-field gel electrophoresis (PFGE), flaA small variable region (SVR) sequencing, analysis of the clustered regularly interspaced short palindromic repeats locus by high resolution melting analysis (CRISPR-HRMA), and multilocus sequence typing (MLST) for typing 111 Campylobacter jejuni strains isolated from diverse sources during 20 years in Brazil. For this, we used previous results obtained by PFGE and flaA-SVR sequencing from our research group and performed CRISPR-HRMA and MLST typing for the first time. Furthermore, the discrimination index (DI) of each method was accessed. The DI for PFGE, flaA-SVR sequencing, CRISPR-HRMA, and MLST was 0.980, 0.932, 0.868, and 0.931, respectively. By PFGE and flaA-SVR sequencing, some strains from clinical and non-clinical sources and from humans and animals presented ≥ 80% similarity. Similarly, some strains from different origins presented the same ST and CRISPR-HRMA types. In conclusion, despite the different DI values, all assays provided the same epidemiological information suggesting that a potential transmission may have occurred between C. jejuni from clinical and non-clinical sources and from animals and humans in Brazil. Furthermore it was demonstrated the suitability of PFGE that should be used preferably together with MLST and/or flaA-SVR sequencing for typing C. jejuni strains.

A novel high-resolution melting analysis-based method for Salmonella genotyping

To establish a simple and rapid high-resolution melting curve (HRM) method, 5 different strains of Salmonella were identified by adding DNA denaturants at different concentrations into the HRM system to change the characteristics of DNA melting and to obtain different Tm (dissolving temperature) values of DNA from different target bacteria. When the concentration of n-butanol was 7% (v/v), the Tm value of the melting curve of the 5 strains changed from 89 °C to 80.5 °C, 81.5 °C, 79.5 °C, 81.0 °C and 82.5 °C, respectively. The sensitivity and specificity of the proposed method were both over 90% in the detection of 270 spiked milk powder samples. In summary, the proposed method in this study has potential for application to food safety and epidemiological research on Salmonella infection.

Prevalence of gyrA Mutations in Nalidixic Acid-Resistant Strains of Salmonella Enteritidis Isolated from Humans, Food, Chickens, and the Farm Environment in Brazil

Salmonella Enteritidis strains that are resistant to nalidixic acid and exhibit reduced susceptibility to fluoroquinolones have been increasing worldwide. In Brazil, few studies have been conducted to elucidate the quinolone resistance mechanisms of S. Enteritidis strains. This study analyzed the profile of gyrA, gyrB, parC, and parE mutations and plasmid-mediated quinolone resistance (PMQR) mechanisms in S. Enteritidis Nal^R strains isolated in Brazil. Moreover, the minimum inhibitory concentrations (MICs) of ciprofloxacin were evaluated in 84 Nal^R strains and compared with 20 Nal^S strains. The mutation profiles of the gyrA gene were accessed by high-resolution melting analysis and gyrB, parC, and parE by quinolone resistance-determining region sequencing. The MICs of ciprofloxacin were accessed with Etest^®. The strains were divided into five gyrA melting profiles. The Nal^R strains exhibited the following amino acid substitutions: Ser97→Pro, Ser83→Phe, Asp87→Asn, or Asp87→Tyr. The average MICs of ciprofloxacin was 0.006 μg/ml in the Nal^S and 0.09 μg/ml in the Nal^R strains. No points of mutation were observed in the genes gyrB, parC, and parE. The qnrB gene was found in two strains. In conclusion, the reduced susceptibility to ciprofloxacin observed in Nal^R strains may cause treatment failures once this drug is commonly used to treat Salmonella infections. Moreover, this reduced susceptibility in these Brazilian strains was provided by target alteration of gene gyrA and not by mobile elements, such as resistance plasmids.

Genotyping of Campylobacter coli strains isolated in Brazil suggests possible contamination amongst environmental, human, animal and food sources

Campylobacter coli and Campylobacter jejuni are two of the most common causative agents of food-borne gastroenteritis in numerous countries worldwide. In Brazil, campylobacteriosis is under diagnosed and under-reported, and few studies have molecularly characterized Campylobacter spp. in this country. The current study genotyped 63 C. coli strains isolated from humans (n512), animals (n521), food (n510) and the environment (n520) between 1995 and 2011 in Brazil. The strains were genotyped using pulsed-field gel electrophoresis (PFGE), sequencing the short variable region (SVR) of the flaA gene ( flaA-SVR) and high-resolution melting analysis (HRMA) of the clustered regularly interspaced short palindromic repeat (CRISPR) locus to better understand C. coli genotypic diversity and compare the suitability of these three methods for genotyping this species. Additionally, the discrimination index (DI) of each of these methods was assessed. Some C. coli strains isolated from clinical and non-clinical origins presented ≥80 % genotypic similarity by PFGE and flaA-SVR sequencing. HRMA of the CRISPR locus revealed only four different melting profiles. In total, 22 different flaA-SVR alleles were detected. Of these, seven alleles, comprising gt1647–gt1653, were classified as novel. The most frequent genotypes were gt30 and gt1647. This distribution reveals the diversity of selected Brazilian isolates in comparison with the alleles described in the PubMLST database. The DIs for PFGE, flaA–SVR sequencing and CRISPR-HRMA were 0.986, 0.916 and 0.550, respectively. PFGE and flaA-SVR sequencing were suitable for subtyping C. coli strains, in contrast to CRISPR-HRMA. The high genomic similarity amongst some C. coli strains confirms the hypothesis that environmental and food sources potentially lead to human and animal contamination in Brazil.

High Resolution Melting-Typing (HRMT) of methicillin-resistant Staphylococcus aureus (MRSA): The new frontier to replace multi-locus sequence typing (MLST) for epidemiological surveillance studies

We report an implemented molecular-typing-method based on HRMA to detect SNPs within MLST loci, characterizing 100 clinical MRSA and 11 control strains, representative of Italian clones. The results provide solid evidence that HRMT could be a fast, cost-effective and reliable alternative to MLST, for MRSA molecular epidemiology.

Rapid and efficient differentiation of Yersinia species using high-resolution melting analysis

The primary goal of clinical microbiology is the accurate identification of the causative agent of the disease. Here, we describe a method for differentiation between Yersinia species using PCR-HRMA. The results revealed species-specific melting profiles. The herein developed assay can be used as an effective method to differentiate Yersinia species.

A novel high-resolution melting analysis-based method for Yersinia enterocolitica genotyping

Pathogenic Yersinia enterocolitica strains are associated with biotypes 1B, 2-5, while environmental strains with biotype 1A. In this work a method for Y. enterocolitica genotyping based on HRMA to determine SNPs was developed and the genetic diversity of 50 strains was determined. The strains were clustered into three groups consistent with the pathogenic profile of each biotype. The results provided a better understanding of the Y. enterocolitica genetic variability.