The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has spread worldwide and as a result, the World Health Organization (WHO) declared it a pandemic. At present, there are no approved vaccines against SARS-CoV-2. Therefore, the aim of this study was to predict epitope-based vaccines using bioinformatics approaches and phylogenetic tree construction of SARS-CoV-2 against the backdrop of the COVID-19 pandemic. In this study, we employed 27 isolates of SARS-CoV-2 spike glycoprotein genes retrieved from GenBank® (National Center for Biotechnology Information, USA) and the GISAID EpiCoV™ Database (Germany). We analyzed the candidate epitopes using the Immune Epitope Database and Analysis Resource. Furthermore, we performed a protective antigen prediction with VaxiJen 2.0. Data for B-cell epitope prediction, protective antigen prediction, and the underlying phylogenetic tree of SARS-CoV-2 were obtained in this research. Therefore, these data could be used to design an epitope-based vaccine against SARS-CoV-2. However, the advanced study is recommended for confirmation (in vitro and in vivo).

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Known as the causal factor of the recent global COVID-19 pandemic, any SARS-CoV-2 is not the only coronavirus that has constituted a menace to society and taken thousands of human lives. Two previous pandemics were also led by coronaviruses; such as the MERS-CoV in 2012 and another SARS-CoV in 2002. Only five months into existence, SARS-CoV-2 transmitted infection to approximately 75 million people and it has led to more than 1.5 million of deaths all over the world. Unfortunately, there has not been any specific treatment yet for COVID-19 yet and its control is purely empirical. The examinations of the parity between SARS-CoV-2 and SARS-CoV, in terms of their genomics, origin, epidemiology, and pathogenesis, suggested that we may use the previous data of MERS-CoV or SARS-CoV as a guideline for uncovering the effective approach to strive against SARS-CoV-2. Various studies have reported the positive effects of numerous phytochemical compounds against SARS-CoV and MERS-CoV. Interestingly, this idea has been emplyed for SARS-CoV-2, and in silico screening of phytochemical compounds has been performed for identifying the potential candidates for COVID-19 treatment. Curcumin is an example of a natural compound which was demonstrated as potent candidate contrary to SARS-CoV-2 protease derived from the in silico studies. Herein, the occurrence of SARS-CoV-2 and the aplication of alternative medicines for treating coronavirus diseases are briefly reviewed.

Neuronal ceroid lipofuscinosis (NCL) is a group of rare lethal neurodegenerative lysosomal storage diseases that occur in a range of dog breeds, including Chihuahuas. Recently, a homozygous single base-pair deletion (c.846delT), which causes a frame shift generating a premature stop codon (p.Phe282Leufs13*) in the canine CLN7/MFSD8 gene, has been identified as a causative mutation for NCL in Chihuahuas. The objective of this study was to determine the frequency of the mutant allele and/or carrier rate of NCL in Chihuahuas in Japan using a newly designed real-time PCR assay. Samples of saliva were randomly collected from 1007 Chihuahua puppies during physical examinations prior to the transportation to pet shops. Screening results revealed a carrier rate of 1.29%, indicating a mutant allele frequency (0.00645) that is considered sufficiently high to warrant measures for the control and prevention of this lethal disease. The genotyping assay designed in this study could make a valuable contribution to the control and prevention of NCL.