Ancestral origin, antigenic resemblance and epidemiological insights of novel coronavirus (SARS-CoV-2): Global burden and Bangladesh perspective.

SARS-CoV-2, a new coronavirus strain responsible for COVID-19, has emerged in Wuhan City, China, and continuing its global pandemic nature. The availability of the complete gene sequences of the virus helps to know about the origin and molecular characteristics of this virus. In the present study, we performed bioinformatic analysis of the available gene sequence data of SARS-CoV-2 for the understanding of evolution and molecular characteristics and immunogenic resemblance of the circulating viruses. Phylogenetic analysis was performed for four types of representative viral proteins (spike, membrane, envelope and nucleoprotein) of SARS-CoV-2, HCoV-229E, HCoV-OC43, SARS-CoV, HCoV-NL63, HKU1, MERS-CoV, HKU4, HKU5 and BufCoV-HKU26. The findings demonstrated that SARS-CoV-2 exhibited convergent evolutionary relation with previously reported SARS-CoV. It was also depicted that SARS-CoV-2 proteins were highly similar and identical to SARS-CoV proteins, though proteins from other coronaviruses showed a lower level of resemblance. The cross-checked conservancy analysis of SARS-CoV-2 antigenic epitopes showed significant conservancy with antigenic epitopes derived from SARS-CoV. Descriptive epidemiological analysis on several epidemiological indices was performed on available epidemiological outbreak information from several open databases on COVID-19 (SARS-CoV-2). Satellite-derived imaging data have been employed to understand the role of temperature in the environmental persistence of the virus. Findings of the descriptive analysis were used to describe the global impact of newly emerged SARS-CoV-2, and the risk of an epidemic in Bangladesh.

Epidemiology of human coronavirus NL63 infection among hospitalized patients with pneumonia in Taiwan.

BACKGROUND/PURPOSE: Human coronavirus (HCoV) NL63 is recognized in association with upper or lower respiratory tract illnesses in children. This study surveyed the prevalence of HCoV-NL63 and influenza viruses in patients with influenza-like illness in Taiwan during 2010-2011. METHODS: Throat samples from 107 hospitalized patients with pneumonia and 175 outpatients with influenza-like illness were examined using real-time polymerase chain reaction assays with virus-specific primers, and then virus-positive specimens were confirmed by sequencing the polymerase chain reaction products. RESULTS: HCoV-NL63 infection was identified in 8.4% (9/107) of hospitalized patients with pneumonia, but not found in outpatients with influenza-like illness. Age distribution of HCoV-NL63 infection in hospitalized patients with pneumonia indicated that the group aged 16-25 years (20%) had the highest positive rate compared with the other groups, and exhibited a similar age-specific pattern to influenza A/H1N1 infection, but not influenza A/H3N2 and B infections in hospitalized patients. Seasonal prevalence of HCoV-NL63 infection was late winter, overlapping the highest peak of the influenza A/H1N1 epidemic during December 2010 to March 2011 in Taiwan. Co-infection of HCoV-NL63 and influenza A/H1N1 was detected in three hospitalized patients. Clinical manifestation analysis indicated that the main symptoms for HCoV-NL63 infection included fever (88.9%), cough (77.8%), and pneumonia (100%). Co-infection caused significantly higher rates of breathing difficulties, cough, and sore throat than those of single infection with HCoV-NL63 and influenza A/H1N1. Phylogenetic analysis indicated a low level of heterogeneity between Taiwan and global HCoV-NL63 strains. CONCLUSION: Understanding epidemiology of HCoV-NL63 in Taiwan provides an insight for worldwide surveillance of HCoV-NL63 infection.

Characterization and complete genome sequence of human coronavirus NL63 isolated in China.

Human coronavirus NL63 (HCoV-NL63) was first discovered in Amsterdam in 2004 and was identified as a new human respiratory coronavirus. We here report the first complete genome sequence of HCoV-NL63 strain CBJ 037 isolated in 2008 from a patient with bronchitis in Beijing, China.

Differentiation between human coronaviruses NL63 and 229E using a novel double-antibody sandwich enzyme-linked immunosorbent assay based on specific monoclonal antibodies.

Human coronaviruses (HCoVs) are responsible for respiratory tract infections ranging from common colds to severe acute respiratory syndrome. HCoV-NL63 and HCoV-229E are two of the four HCoVs that circulate worldwide and are close phylogenetic relatives. HCoV infections can lead to hospitalization of children, elderly individuals, and immunocompromised patients. Globally, approximately 5% of all upper and lower respiratory tract infections in hospitalized children are caused by HCoV-229E and HCoV-NL63. The latter virus has recently been associated with the childhood disease croup. Thus, differentiation between the two viruses is relevant for epidemiology studies. The aim of this study was to develop a double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) as a potential tool for identification and differentiation between HCoV-NL63 and HCoV-229E. The nucleocapsid (N) proteins of HCoV-NL63 and HCoV-229E were expressed in an Escherichia coli system and used to immunize mice in order to obtain monoclonal antibodies (MAbs) specific for each virus. Three specific MAbs to HCoV-NL63, one MAb specific to HCoV-229E, and four MAbs that recognized both viruses were obtained. After their characterization, three MAbs were selected in order to develop a differential DAS-ELISA. The described assay could detect up to 3 ng/ml of N protein and 50 50% tissue culture infective doses/ml of virus stock. No cross-reactivity with other human coronaviruses or closely related animal coronaviruses was found. The newly developed DAS-ELISA was species specific, and therefore, it could be considered a potential tool for detection and differentiation of HCoV-NL63 and HCoV-229E infections.