Designing, optimization, and validation of whole blood direct T-ARMS PCR for precise and rapid genotyping of complex vertebral malformation in cattle

Integrated approach for detection of SARS-CoV-2 and its variant by utilizing LAMP and ARMS-PCR

Global impact of COVID-19 pandemic has heightened the urgency for efficient virus detection and identification of variants such as the Q57H mutation. Early and efficient detection of SARS-CoV-2 among densely populated developing countries is paramount objective. Although RT-PCR assays offer accuracy, however, dependence on expansive kits and availability of allied health resources pose an immense challenge for developing countries. In the current study, RT-LAMP based detection of SARS-Cov-2 with subsequent confirmation of Q57H variant through ARMS-PCR was performed. Among the 212 collected samples, 134 yielded positive results, while 78 tested negative using RT-LAMP. Oropharyngeal swabs of suspected individuals were collected and processed for viral RNA isolation. Isolated viral RNA was processed further by using either commercially available WarmStart Master Mix or our in house developed LAMP master mix separately. Subsequently, the end results of each specimen were evaluated by colorimetry. For LAMP assays, primers targeting three genes (ORF1ab, N and S) were designed using PrimerExplorer software. Interestingly, pooling of these three genes in single reaction tube increased sensitivity (95.5%) and specificity (93.5%) of LAMP assay. SARS-CoV-2 positive specimens were screened further for Q57H mutation using ARMS-PCR. Based on amplicon size variation, later confirmed by sequencing, our data showed 18.5% samples positive for Q57H mutation. Hence, these findings strongly advocate use of RT-LAMP-based assay for SARS-CoV-2 screening within suspected general population. Furthermore, ARMS-PCR also provides an efficient mean to detect prevalent mutations against SARS-Cov-2.

Development of a tetra-primer ARMS-PCR for identification of sika and red deer and their hybrids

Accurate identification of deer-derived components is significant in food and drug authenticity. Over the years, several methods have been developed to authenticate these products; however, identifying whether female deer products are hybrids is challenging. In this study, the zinc finger protein X-linked (ZFX) gene sequences of sika deer (Cervus nippon), red deer (Cervus elaphus) and their hybrid offspring were amplified and sequenced, the X221 and X428 species-specific single nucleotide polymorphisms (SNP) loci were verified, and a tetra-primer amplification refractory mutation system (T-ARMS-PCR) assay was developed to identify the parent-of-origin of female sika deer, red deer, and their hybrid deer. The T-ARMS-PCR developed based on the X221 locus could identify sika deer, red deer, and their hybrid offspring according to the presence or absence of PCR product sizes of 486 bp, 352 bp, and 179 bp, respectively, just as X428 locus could identify sika deer, red deer, and their hybrid offspring according to the presence or absence of PCR product sizes of 549 bp, 213 bp, and 383 bp, respectively. Forty products labeled deer-derived ingredients randomly purchased were tested using this assay, and the results showed that the identification results based on the two SNP loci were utterly consistent with the actual sources. In addition, this method was found to be accurate, simple, convenient, and with high specificity, thus providing an essential technical reference for deer product species identification. It is also an important supplement to the identification methods of the original ingredients of existing deer products.

Detecting Melanocortin 1 Receptor Gene's SNPs by CRISPR/enAsCas12a

Beyond its powerful genome-editing capabilities, the CRISPR/Cas system has opened up a new era of molecular diagnostics due to its highly specific base recognition and trans-cleavage activity. However, most CRISPR/Cas detection systems are mainly used to detect nucleic acids of bacteria or viruses, while the application of single nucleotide polymorphism (SNP) detection is limited. The MC1R SNPs were investigated by CRISPR/enAsCas12a and are not limited to the protospacer adjacent motif (PAM) sequence in vitro. Specifically, we optimized the reaction conditions, which proved that the enAsCas12a has a preference for divalent magnesium ion (Mg²⁺) and can effectively distinguish the genes with a single base difference in the presence of Mg²⁺, and the Melanocortin l receptor (MC1R) gene with three kinds of SNP sites (T305C, T363C, and G727A) was quantitatively detected. Since the enAsCas12a is not limited by PAM sequence in vitro, the method shown here can extend this extraordinary CRISPR/enAsCas12a detection system to other SNP targets, thus providing a general SNP detection toolbox.

Mismatch-introduced DNA probes constructed on the basis of thermodynamic analysis enable the discrimination of single nucleotide variants

Genotyping of single nucleotide variants (SNVs) has enabled the assessment of disease-related risk factors and significantly improved the potency of diagnosis and prognosis. Meanwhile, genotyping of SNVs is challenging due to the high sequence similarity between wild-type (WT) and SNV. To increase the discrimination between WT and SNV, probes are modified with nucleic acid analogues such as locked nucleic acid (LNA), or deliberate mismatches are introduced to the probe sequence. However, nucleic acid analogues have limitation in high cost and complexity in their synthesis. And a generalized methodology has not been proposed for determining the position and type of deliberate mismatches at the designated experimental conditions to the best of our knowledge. Herein, we propose a reliable workflow for designing mismatch-introduced probes (MIPs) based on nucleic acid thermodynamic analysis and rejection sampling. The theoretical hybridization state of MIP was calculated using nucleic acid thermodynamics, and the detectability was estimated by rejection sampling that simulates the errors from experimental environments. We fabricated MIPs for SNVs in epidermal growth factor receptor, and experimentally demonstrated optimized detectability. The detectability increased up to 7.19-fold depending on the position and type of mismatch; moreover, the optimized MIP showed higher detectability than the LNA probe. This indicates that the workflow can be broadly applied to the optimization of probe sequence for the detection of various disease-related SNVs.