Viral variant visualizer (VVV): A novel bioinformatic tool for rapid and simple visualization of viral genetic diversity

2021 ◽  
Vol 291 ◽  
pp. 198201
Author(s):  
Alexandre Flageul ◽  
Pierrick Lucas ◽  
Edouard Hirchaud ◽  
Fabrice Touzain ◽  
Yannick Blanchard ◽  
...  
2021 ◽  
Vol 49 ◽  
pp. 157-163
Author(s):  
Lara Fuhrmann ◽  
Kim Philipp Jablonski ◽  
Niko Beerenwinkel

Viruses ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 104
Author(s):  
Adam A. Capoferri ◽  
Wei Shao ◽  
Jon Spindler ◽  
John M. Coffin ◽  
Jason W. Rausch ◽  
...  

COVID-19 vaccines were first administered on 15 December 2020, marking an important transition point for the spread of SARS-CoV-2 in the United States (U.S.). Prior to this point in time, the virus spread to an almost completely immunologically naïve population, whereas subsequently, vaccine-induced immune pressure and prior infections might be expected to influence viral evolution. Accordingly, we conducted a study to characterize the spread of SARS-CoV-2 in the U.S. pre-vaccination, investigate the depth and uniformity of genetic surveillance during this period, and measure and otherwise characterize changing viral genetic diversity, including by comparison with more recently emergent variants of concern (VOCs). In 2020, SARS-CoV-2 spread across the U.S. in three phases distinguishable by peaks in the numbers of infections and shifting geographical distributions. Virus was genetically sampled during this period at an overall rate of ~1.2%, though there was a substantial mismatch between case rates and genetic sampling nationwide. Viral genetic diversity tripled over this period but remained low in comparison to other widespread RNA virus pathogens, and although 54 amino acid changes were detected at frequencies exceeding 5%, linkage among them was not observed. Based on our collective observations, our analysis supports a targeted strategy for worldwide genetic surveillance as perhaps the most sensitive and efficient means of detecting new VOCs.


Author(s):  
David VanInsberghe ◽  
Andrew Neish ◽  
Anice C. Lowen ◽  
Katia Koelle

AbstractViral recombination has the potential to bring about viral genotypes with modified phenotypic characteristics, including transmissibility and virulence. Although the capacity for recombination among Betacoronaviruses is well documented, SARS-CoV-2 has only been circulating in humans for approximately 8 months and thus has had a relatively short window of opportunity for the occurrence of recombination. The ability to detect recombination has further been limited by the relatively low levels of genetic diversity in SARS-CoV-2. Despite this, two studies have reported recombinants among SARS-CoV-2 strains. Here we first revisit these findings with a new analysis approach, arguing that neither presents a clear case of within-SARS-CoV-2 recombination. Applying this same approach to available SARS-CoV-2 sequences, we then identify five recombinant genomes. Each of these genomes contain phylogenetic markers of two distinct SARS-CoV-2 clades. Further, the predicted parent clades of these recombinant genomes were, with one exception, documented to be co-circulating in the country of infection in the two weeks prior to the sample being collected. Our results indicate that recombination among SARS-CoV-2 strains is occurring, but is either not widespread or often remains undetectable given current levels of viral genetic diversity. Efforts to monitor the emergence of new recombinant genomes should therefore be sustained.


2007 ◽  
Vol 81 (23) ◽  
pp. 13050-13056 ◽  
Author(s):  
Robert J. Gifford ◽  
Tulio de Oliveira ◽  
Andrew Rambaut ◽  
Oliver G. Pybus ◽  
David Dunn ◽  
...  

ABSTRACT With ongoing generation of viral genetic diversity and increasing levels of migration, the global human immunodeficiency virus type 1 (HIV-1) epidemic is becoming increasingly heterogeneous. In this study, we investigate the epidemiological characteristics of 5,675 HIV-1 pol gene sequences sampled from distinct infections in the United Kingdom. These sequences were phylogenetically analyzed in conjunction with 976 complete-genome and 3,201 pol gene reference sequences sampled globally and representing the broad range of HIV-1 genetic diversity, allowing us to estimate the probable geographic origins of the various strains present in the United Kingdom. A statistical analysis of phylogenetic clustering in this data set identified several independent transmission chains within the United Kingdom involving recently introduced strains and indicated that strains more commonly associated with infections acquired heterosexually in East Africa are spreading among men who have sex with men. Coalescent approaches were also used and indicated that the transmission chains that we identify originated in the late 1980s to early 1990s. Similar changes in the epidemiological structuring of HIV epidemics are likely to be taking in place in other industrialized nations with large immigrant populations. The framework implemented here takes advantage of the vast amount of routinely generated HIV-1 sequence data and can provide epidemiological insights not readily obtainable through standard surveillance methods.


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