A Comparative Study between Spanish and British SARS-CoV-2 Variants

The study of the interaction between the SARS-CoV-2 spike protein and the angiotensin-converting enzyme 2 (ACE2) receptor is key to understanding binding affinity and stability. In the present report, we sought to investigate the differences between two already sequenced genome variants (Spanish and British) of SARS-CoV-2. Methods: In silico model evaluating the homology, identity and similarity in the genome sequence and the structure and alignment of the predictive spike by computational docking methods. Results: The identity results between the Spanish and British variants of the Spike protein were 28.67%. This close correspondence in the results between the Spanish and British SARS-CoV-2 variants shows that they are very similar (99.99%). The alignment obtained results in four deletions. There were 23 nucleotide substitutions also predicted which could affect the functionality of the proteins produced from this sequence. The interaction between the binding receptor domain from the spike protein and the ACE2 receptor produces some of the mutations found and, therefore, the energy of this ligand varies. However, the estimated antigenicity of the British variant is higher than its Spanish counterpart. Conclusions: Our results indicate that minimal mutations could interfere in the infectivity of the virus due to changes in the fitness between host cell recognition and interaction proteins. In particular, the N501Y substitution, situated in the RBD of the spike of the British variant, might be the reason for its extraordinary infective potential.

Chromosomal variants accumulate in genomes of the spontaneous aborted fetuses revealed by chromosomal microarray analysis

Spontaneous abortion is an impeding factor for the success rates of human assistant reproductive technology (ART). Causes of spontaneous abortion include not only the pregnant mothers’ health conditions and lifestyle habits, but also the fetal development potential. Evidences had shown that fetal chromosome aneuploidy is associated with fetal spontaneous abortion, however, it is still not definite that whether other genome variants, like copy number variations (CNVs) or loss of heterozygosity (LOHs) is associated with the spontaneous abortion. To assess the relationship between the fetal genome variants and abortion during ART, a chromosomal microarray data including chromosomal information of 184 spontaneous aborted fetuses, 147 adult female patients and 78 adult male patients during ART were collected. We firstly analyzed the relationship of fetal aneuploidy with maternal ages and then compared the numbers and lengths of CNVs (< 4Mbp) and LOHs among adults and aborted fetuses. In addition to the already known association between chromosomal aneuploidy and maternal ages, from the chromosomal microarray data we found that the numbers and the accumulated lengths of short CNVs and LOHs in the aborted fetuses were significantly larger or longer than those in adults. Our findings indicated that the increased numbers and accumulated lengths of CNVs or LOHs might be associated with the spontaneous abortion during ART.

CyberGenomics: Application of Behavioral Genetics in Cybersecurity

Cybersecurity (CS) is a contemporary field for research and applied study of a range of aspects from across multiple disciplines. A cybersecurity expert has an in-depth knowledge of technology but is often also recognized for the ability to view technology in a non-standard way. This paper explores how CS specialists are both a combination of professional computing-based skills and genetically encoded traits. Almost every human behavioral trait is a result of many genome variants in action altogether with environmental factors. The review focuses on contextualizing the behavior genetics aspects in the application of cybersecurity. It reconsiders methods that help to identify aspects of human behavior from the genetic information. And stress is an illustrative factor to start the discussion within the community on what methodology should be used in an ethical way to approach those questions. CS positions are considered stressful due to the complexity of the domain and the social impact it can have in cases of failure. An individual risk profile could be created combining known genome variants linked to a trait of particular behavior using a special biostatistical approach such as a polygenic score. These revised advancements bring challenging possibilities in the applications of human behavior genetics and CS.

Distribution of SARS-CoV-2 Lineages in the Czech Republic, Analysis of Data from the First Year of the Pandemic

In the Czech Republic, the current pandemic led to over 1.67 million SARS-CoV-2- positive cases since the recording of the first case on 1 March 2020. SARS-CoV-2 genome analysis is an important tool for effective real-time quantitative PCR (RT-qPCR) diagnostics, epidemiology monitoring, as well as vaccination strategy. To date, there is no comprehensive report on the distribution of SARS-CoV-2 genome variants in either the Czech Republic, including Central and Eastern Europe in general, during the first year of pandemic. In this study, we have analysed a representative cohort of SARS-CoV-2 genomes from 229 nasopharyngeal swabs of COVID-19 positive patients collected between March 2020 and February 2021 using validated reference-based sequencing workflow. We document the changing frequency of dominant variants of SARS-CoV-2 (from B.1 -> B.1.1.266 -> B.1.258 -> B.1.1.7) throughout the first year of the pandemic and list specific variants that could impact the diagnostic efficiency RT-qPCR assays. Moreover, our reference-based workflow provided evidence of superinfection in several samples, which may have contributed to one of the highest per capita numbers of COVID-19 cases and deaths during the first year of the pandemic in the Czech Republic.

SARS-CoV-2 genome variants epidemiology surveillance in Ethiopia and dynamic mutational changes of structural S Spike protein through computational analysis

Objective: This study aims to identify the variants of SARS-CoV-2 that were circulating in Ethiopia and spot dynamic mutational changes of spike antigenicity based on genome data analysis to put forward preventative measurement against pandemic. Results: The SARS-CoV-2 genomes from Ethiopia were confirmed to be evolutionary related to RaTG13 and SL- bat coronavirus and Spike receptor sites were conserved. The clade distribution of the genome was reflected as GH, GR and other O and intended for new variants. 3 female samples were detected as Variants of Interest VUI202012/01GRY B.1.1.7 which Pango linage B.1.1.7 was originated from the UK. Despite 21 notable mutations, 71% D614G, 28% D614X, 35% N501Y and 21% NSP5-S284G mutation occurred predominantly in our genome samples and could have antigenicity and infectivity effects. Mutation on N440K was perceived as antigenic-drift in a sample and potency resist SER-52 antibody neutralization and vaccine escape.

SARS-CoV-2 Genome Variants Epidemiology Surveillance in Ethiopia and Targeted Mutational Changes of Structural S Spike Proteins Through Computational Analysis

Objective: This study aims to identify the variants of SARS CoV 2 that were circulating in Ethiopia and spot dynamic mutational changes of spike antigenicity based on genome data analysis to put forward preventative measurement against pandemic. Results: The genomes from Ethiopia were confirmed to be evolutionary related to RaTG13 and SL- bat coronavirus and Spike receptor sites were conserved. The clade distribution of the genome was reflected as GH, GR and other O and intended for new variants. 3 female samples were detected as variants of concern VUI202012/01GRY B.1.1.7 which Pango linage B.1.1.7 was originated from the UK. Despite 21 notable mutations, 71% D614G, 28% D614X, 35% N501Y and 21% NSP5 S284G mutation were occurred predominantly in our genome samples. and could be antigenicity and infectivity. Mutation on N440K was perceived in a sample and potency resist SER-52 antibody neutralization and vaccine escape.

Uncovering Signals from the Coronavirus Genome

A signal analysis of the complete genome sequenced for coronavirus variants of concern—B.1.1.7 (Alpha), B.1.135 (Beta) and P1 (Gamma)—and coronavirus variants of interest—B.1.429–B.1.427 (Epsilon) and B.1.525 (Eta)—is presented using open GISAID data. We deal with a certain new type of finite alternating sum series having independently distributed terms associated with binary (0,1) indicators for the nucleotide bases. Our method provides additional information to conventional similarity comparisons via alignment methods and Fourier Power Spectrum approaches. It leads to uncover distinctive patterns regarding the intrinsic data organization of complete genomics sequences according to its progression along the nucleotide bases position. The present new method could be useful for the bioinformatics surveillance and dynamics of coronavirus genome variants.

The First Molecular Characterization of Serbian SARS-CoV-2 Isolates From a Unique Early Second Wave in Europe

March 6, 2020 is considered as the official date of the beginning of the COVID-19 epidemic in Serbia. In late spring and early summer 2020, Europe recorded a decline in the rate of SARS-CoV-2 infection and subsiding of the first wave. This trend lasted until the fall, when the second wave of the epidemic began to appear. Unlike the rest of Europe, Serbia was hit by the second wave of the epidemic a few months earlier. Already in June 2020, newly confirmed cases had risen exponentially. As the COVID-19 pandemic is the first pandemic in which there has been instant sharing of genomic information on isolates around the world, the aim of this study was to analyze whole SARS-CoV-2 viral genomes from Serbia, to identify circulating variants/clade/lineages, and to explore site-specific mutational patterns in the unique early second wave of the European epidemic. This analysis of Serbian isolates represents the first publication from Balkan countries, which demonstrates the importance of specificities of local transmission especially when preventive measures differ among countries. One hundred forty-eight different genome variants among 41 Serbian isolates were detected in this study. One unique and seven extremely rare mutations were identified, with locally specific continuous dominance of the 20D clade. At the same time, amino acid substitutions of newly identified variants of concern were found in our isolates from October 2020. Future research should be focused on functional characterization of novel mutations in order to understand the exact role of these variations.