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1.
Preprint in English | bioRxiv | ID: ppbiorxiv-480524

ABSTRACT

We report an experimental infection of American mink with SARS-CoV-2 Omicron variant and show that minks remain virus RNA positive for days, develop clinical signs and histopathological changes, and transmit the virus to uninfected recipients warranting further studies and preparedness.

2.
Preprint in English | bioRxiv | ID: ppbiorxiv-471941

ABSTRACT

SummarySARS-CoV-2 is the highly transmissible etiologic agent of coronavirus disease 2019 (COVID-19) and has become a global scientific and public health challenge since December 2019. Several new variants of SARS-CoV-2 have emerged globally raising concern about prevention and treatment of COVID-19. Early detection and in depth analysis of the emerging variants allowing pre-emptive alert and mitigation efforts are thus of paramount importance. Here we present ClusTRace, a novel bioinformatic pipeline for a fast and scalable analysis of sequence clusters or clades in large viral phylogenies. ClusTRace offers several high level functionalities including outlier filtering, aligning, phylogenetic tree reconstruction, cluster or clade extraction, variant calling, visualization and reporting. ClusTRace was developed as an aid for COVID-19 transmission chain tracing in Finland and the main emphasis has been on fast and unsupervised screening of phylogenies for markers of super-spreading events and other features of concern, such as high rates of cluster growth and/or accumulation of novel mutations. AvailabilityAll code is freely available from https://bitbucket.org/plyusnin/clustrace/

3.
Preprint in English | medRxiv | ID: ppmedrxiv-21265042

ABSTRACT

BackgroundSince the first reported case of coronavirus disease 2019 (COVID-19) in China, SARS-CoV-2 has been spreading worldwide. Genomic surveillance of SARS-CoV-2 has had a critical role in tracking the emergence, introduction, and spread of new variants, which may affect transmissibility, pathogenicity, and escape from infection or vaccine-induced immunity. As anticipated, the rapid increase in COVID-19 infections in Iraq in February 2021 is due to the introduction of variants of concern during the second wave of the COVID-19 pandemic. AimTo understand the molecular epidemiology of SARS-CoV-2 during the second wave in Iraq (2021), MethodWe sequenced 76 complete SARS-CoV-2 genomes using NGS technology and identified genomic mutations and proportions of circulating variants among these. Also, we performed an in silico study to predict the effect of the truncation of NS7a protein (ORF7a) on its function ResultsWe detected nine different lineages of SARS-CoV-2. The B.1.1.7 lineage was predominant (78.9%) from February to May 2021, while only one B.1.351 strain was detected. Interestingly, the phylogenetic analysis showed that multiple strains of the B.1.1.7 lineage clustered closely with those from European countries. A high frequency (88%) of stop codon mutation (NS7a Q62stop) was detected among the B.1.1.7 lineage sequences. In silico analysis of NS7a with Q62stop found that this stop codon had no significant effect on the function of NS7a. ConclusionThis work provides molecular epidemiological insights into the spread variants of SARS-CoV-2 in Iraq, which are most likely imported from Europe.

4.
Preprint in English | bioRxiv | ID: ppbiorxiv-431018

ABSTRACT

BackgroundSARS-CoV-2 related research has increased in importance worldwide since December 2019. Several new variants of SARS-CoV-2 have emerged globally, of which the most notable and concerning currently are the UK variant B.1.1.7, the South African variant B1.351 and the Brazilian variant P.1. Detecting and monitoring novel variants is essential in SARS-CoV-2 surveillance. While there are several tools for assembling virus genomes and performing lineage analyses to investigate SARS-CoV-2, each is limited to performing singular or a few functions separately. ResultsDue to the lack of publicly available pipelines, which could perform fast reference-based assemblies on raw SARS-CoV-2 sequences in addition to identifying lineages to detect variants of concern, we have developed an open source bioinformatic pipeline called HaVoC (Helsinki university Analyzer for Variants Of Concern). HaVoC can reference assemble raw sequence reads and assign the corresponding lineages to SARS-CoV-2 sequences. ConclusionsHaVoC is a pipeline utilizing several bioinformatic tools to perform multiple necessary analyses for investigating genetic variance among SARS-CoV-2 samples. The pipeline is particularly useful for those who need a more accessible and fast tool to detect and monitor the spread of SARS-CoV-2 variants of concern during local outbreaks. HaVoC is currently being used in Finland for monitoring the spread of SARS-CoV-2 variants. HaVoC user manual and source code are available at https://www.helsinki.fi/en/projects/havoc and https://bitbucket.org/auto_cov_pipeline/havoc, respectively.

5.
Preprint in English | bioRxiv | ID: ppbiorxiv-422670

ABSTRACT

SARS-CoV-2 is the aetiological agent of COVID-19 disease and has been spreading worldwide since December 2019. The virus has been shown to infect different animal species under experimental conditions. Also, minks have been found to be susceptible to SARS-CoV-2 infection in fur farms in Europe and the USA. Here we investigated 91 individual minks from a farm located in Northern Poland. Using RT-PCR, antigen detection and NGS, we confirmed 15 animals positive for SARS-CoV-2. The result was verified by sequencing of full viral genomes, confirming SARS-CoV-2 infection in Polish mink. Country-scale monitoring conducted by veterinary inspection so far has not detected the presence of SARS-CoV-2 on other mink farms. Taking into consideration that Poland has a high level of positive diagnostic tests among its population, there is a high risk that more Polish mink farms become a source for SARS-CoV-2. Findings reported here and from other fur producing countries urge the assessment of SARS-CoV-2 prevalence in animals bred in Polish fur farms.

6.
Preprint in English | bioRxiv | ID: ppbiorxiv-137802

ABSTRACT

The causative agent of the current pandemic and coronavirus disease 2019 (COVID-19) is the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)1. Understanding how SARS-CoV-2 enters and spreads within human organs is crucial for developing strategies to prevent viral dissemination. For many viruses, tissue tropism is determined by the availability of virus receptors on the surface of host cells2. Both SARS-CoV and SARS-CoV-2 use angiotensin-converting enzyme 2 (ACE2) as a host receptor, yet, their tropisms differ3-5. Here, we found that the cellular receptor neuropilin-1 (NRP1), known to bind furin-cleaved substrates, significantly potentiates SARS-CoV-2 infectivity, which was inhibited by a monoclonal blocking antibody against the extracellular b1b2 domain of NRP1. NRP1 is abundantly expressed in the respiratory and olfactory epithelium, with highest expression in endothelial cells and in the epithelial cells facing the nasal cavity. Neuropathological analysis of human COVID-19 autopsies revealed SARS-CoV-2 infected NRP1-positive cells in the olfactory epithelium and bulb. In the olfactory bulb infection was detected particularly within NRP1-positive endothelial cells of small capillaries and medium-sized vessels. Studies in mice demonstrated, after intranasal application, NRP1-mediated transport of virus-sized particles into the central nervous system. Thus, NRP1 could explain the enhanced tropism and spreading of SARS-CoV-2.

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