SARS-CoV-2 is a new virus responsible for an outbreak of respiratory illness known as COVID-19, which has spread to several countries around the world and a global effort is being undertaken to characterize the molecular features and evolutionary origins of this virus. In silico analysis of the transcription start sites, promoter regions, transcription factors and their binding sites, gene ontology, CpG islands for SARS-CoV-2 viral genome are a first step to understand the regulation mechanisms of gene expression and its association with genetic variations in the genomes. For this purpose, we first computationally surveyed all SARS-CoV-2 virus genes with the open reading frames from NCBI database and found eleven sequences to accomplish the mentioned features by using bioinformatics tools. Our analysis revealed that all (100%) of the SARS-CoV-2 virus genes have more than one TSS. By taking all TSSs with the highest predictive score we determined promoter regions and identified five common candidate motifs (MVI, MVII, MVIII, MVIV and MVV) of which MVI was found to be shared by all promoter regions of SARS-CoV-2 virus genes with the least E-value (3.8e-056, statistically highly significant). In our further analysis of MVI we showed MVI serve as binding sites for a single transcription factor (TF) family, EXPREG, involved in the regulatory mode of these genes. From EXPREG family four TFs that belongs to Cyclic AMP (cAMP) receptor protein (CRP) and Catabolite control protein A (CcpA) group mostly serve as transcriptional activator whereas two TFs that belong to LexA group always serve as transcriptional repressor in different kinds of cellular processes and molecular functions. Therefore, we unfolded SARS-CoV-2 viral genome to shed light on its gene expression regulation that could help to design and evaluate diagnostic tests, to track and trace the ongoing outbreak and to identify potential intervention options.

Newcastle disease ( ND ) is a major infectious disease of poultry caused by a virulent strain of Avian Paramyxovirus type-1 ( APMV-1 ). It is a major threat to the poultry industry in many countries of the world including Ethiopia. The aim of this study was to conduct molecular surveillance of ND Virus and identify potential risk factors for nonvaccinated village chicken in Central Rift Valley of Oromia, Ethiopia. A total of 84 pooled swab samples, each made from pools of 5 swabs for analysis, from cloacal and tracheal sites of chickens in the Central Rift Valley were collected, and RNA was extracted to carry out real-time quantitative polymerase chain reaction. Out of the 84 pooled swab samples tested for M-gene, 13 (15.48%) samples were found positive for APMV-1. The prevalence of ND in males was found to be 16.10% and that in females was 14.67%. Although the overall ND prevalence was 15.48% (13/84), the highest prevalence was recorded in Adama, 42.86% (6/14), and no positive case was observed in Bote and Bishoftu ( P < 0.05), while intermediate prevalence was obtained from Batu, Arsi-negele, and Shashemene ( P > 0.05). In general, the present study provides important information on the epidemiology of ND based on M-gene assay in Central Rift Valley of Oromia, Ethiopia, and highlights the importance of implementing molecular surveillances practice in live poultry markets and village chickens.

Background Newcastle disease (ND) is a major infectious disease of poultry caused by a virulent strain of Avian Paramyxovirus – 1. It is a major threat to the poultry industry in many countries of the world including Ethiopia. Newcastle Disease Virus (NDV) is an enveloped, non-segmented, single-stranded negative-sense RNA virus with a helical morphology whose genome has six open reading frames (ORF) which encode for the following proteins: nucleoprotein (NP), phosphoprotein (P), matrix protein (M), fusion protein (F), hemagglutinin-neuraminidase (HN) and RNA-dependent RNA polymerase (L). The aim of this study was to detect matrix gene (M-gene), for NDV by molecular tools and identify its risk factors in non-vaccinated village chicken in Central Rift Valley of Oromia, Ethiopia.Methods A total of 84 pooled in five swab samples from 420 cloacal and tracheal chickens were sampled and RNA was extracted from the 84 pooled samples to carry out real-time quantitative polymerase chain reaction (qRT-PCR). A real-time reverse transcriptase polymerase chain reaction (rRT-PCR) along with the quantification was also done for 10 positive qRT-PCR samples that were having high concentration of viral load Ct. value.Results Out of the 84 pools of five swab samples tested for M-gene using qRT-PCR, 16.7% (14/84) samples were detected which included 13 positives and 1 negative for NDV. The prevalence of ND in males was found to be 16.10% and that in females was 14.67%. Although the overall ND prevalence was 15.48% (13/84), the highest score was recorded in Adama, 42.86% (6/14), and no positive case was detected in Bote and Bishoftu (p <0.05) while intermediate scores were obtained from Batu, Arsi-negelle and Shashemene.Conclusions In general, the present study provides important information on the epidemiology of NDV based on M-gene assay in Central Rift Valley of Oromia, Ethiopia, and highlights the importance of implementing surveillances and biosecurity practices in live poultry markets and village chickens.

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