Machine learning based DNA melt curve profiling enables automated novel genotype detection

Surveillance for genetic variation of microbial pathogens, both within and among species, plays an important role in informing research, diagnostic, prevention, and treatment activities for disease control. However, large-scale systematic screening for novel genotypes remains challenging in part due to technological limitations. Towards addressing this challenge, we present an advancement in universal microbial high resolution melting (HRM) analysis that is capable of accomplishing both known genotype identification and novel genotype detection. Specifically, this novel surveillance functionality is achieved through time-series modeling of sequence-defined HRM curves, which is uniquely enabled by the large-scale melt curve datasets generated using our high-throughput digital HRM platform. Taking the detection of bacterial genotypes as a model application, we demonstrate that our algorithms accomplish an overall classification accuracy over 99.7% and perform novelty detection with a sensitivity of 0.96, specificity of 0.96 and Youden index of 0.92. Since HRM-based DNA profiling is an inexpensive and rapid technique, our results add support for the feasibility of its use in surveillance applications.

Design of a data set of qPCR primers for the early region of Human Papillomavirus oncogenic types 16 and 18

High-Risk Human Papillomavirus (HR-HPV) types 16 and 18 are estimated to be responsible for 72.4% of all HPV-related cancers worldwide in both men and women, including cervical, anal, penile, vulval, vaginal and head and neck cancers [1]. Important efforts worldwide have devoted to the study of these genotypes, throughout epidemiology and basic science approaches. Of particular interest are the genes from the early region (E), coding non-structural proteins. Early genes E1 and E2 products are involved in replication and transcription regulation, while E6 and E7 proteins are recognised for their oncogenic potential. In this data report, we described a set of primers based on reference sequences from HPV16 and HPV18 designed to cover the early region of these oncogenic genotypes. The design was based on multiple sequences alignment to identify the less conserved regions along the open reading frames (ORFs) E6, E7, E1 and E2. The design allows a highly stringent real time PCR essay ranged from 123 to 598 bp overlapping products for HPV16 (12 products in total) and from 183 to 526 bp for HPV18 (11 products in total), both spanning the early genomic region. The high annealing temperatures (Ta) and regions selected for primer bind were intended for genotypic specificity, without compromising the qPCR amplification efficiency (≥ 90%). Evaluation of qPCR conditions for primer set was performed using DNA standards as controls, generated from the HPV16 and 18 genomes clones. This provides relevant information for further multiple quantitative real-time PCR analysis (qPCR), using the SYBR green chemistry, which is is more affordable than generating multiple fluorescently labeled probes.

Development of cost-effective quantitative PCR method for parallel detection of porcine circovirus2 and porcine parvovirus in perspective of North-eastern India

Pig farming performs as an intricate part in the socio-economic situation in the north-eastern region of India. This region contributes 38% (3.95 million) of total pigs in India. In spite of this, the region unables to flourish as an enterprise as per the expectation due to a low productivity rate. Porcine infectious pathogens like porcine cirovirus2 (PCV2) and porcine parvovirus (PPV) have a direct economic impact on pig farming through slow growth rate, abortion, and mortality and ultimately maximize the production cost by increasing the usage of antibiotic or antiviral drugs. The veterinary diagnostic infrastructure is a fundamental aspect of the development of livestock status by rapid and effective detection of pathogens. Quantitative PCR (qPCR) is a precise and fast-track technique used for the routine diagnostic method. Hence, we developed a highly precise and comparatively cost-effective SYBR Green reporter dye-based qPCR assay for parallel identification of PCV2 and PPV. In the present assay, the correlation coefficient (R²) value was 0.99, and 10 copies of the gene/μl were the least limit of detection (LOD) concerning both viruses. Melt curve analysis of this study represented PCV2-specific melt curve (Tm) at 81.2 °C and PPV-specific melt curve (Tm) at 73.5 °C. Therefore, the assay easily differentiates the true positive amplicons of PCV2 and PPV through specific Tm values. Among the 50 field samples, 26 (52%) samples were PCV2 positive, 18 (36%) samples PPV positive, and 11 (22%) samples were co-infected of both the viruses. This method is cost-effective, precise, and sensitive to diagnose the concurrent or individual infection of the PCV2 and PPV in the pig. Hence, considering the impact of pig farming in the north-eastern part of the country, the present assay gives an unprecedented achievement in disease diagnosis.

A novel real time PCR assay using melt curve analysis for ivory identification

Demand for ivory and expansion of human settlements have resulted in a rapid decline in the number of elephants. Enforcement of local and international laws and regulations requires identification of the species from which any ivory, or ivory products, originated. Further geographical assignment of the dead elephant from which the ivory was taken can assist in forensic investigations. In this study, a real-time PCR assay using melt curve analysis was developed and fully validated for forensic use. The presence or absence of three Elephantidae-specific and elephant species-specific melting peaks was used to identify the elephant species. Using 141 blood and ivory samples from the three extant elephant species, the assay demonstrated very high reproducibility and accuracy. The limit of detection was as low as 0.031ng of input DNA for conventional amplification and 0.002ng for nested amplification. Both DNA concentrations are typically encountered in forensic casework, especially for degraded samples. No cross-reactivity was observed for non-target species. Evaluation of direct amplification and nested amplification demonstrated the assay's flexibility and capability of analyzing low-template DNA samples and aged samples. Additionally, blind trial testing showed the assay's suitability application in real casework. In conclusion, wildlife forensic laboratories could use this novel, quick, and low-cost assay to help combat the continuing poaching crises leading to the collapse of elephant numbers in the wild.