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Achouri, E.

Publications and source records attributed to Achouri, E..

2 recordsLinked to original sources

VODKA2: An accurate method to detect copy-back and deletion viral genomes from next-generation sequencing data

During viral replication, viruses carrying an RNA genome produce non-standard viral genomes (nsVGs), including copy-back viral genomes (cbVGs) and deletion viral genomes (delVGs), that play a crucial role in regulating viral replication and pathogenesis. Because of their critical roles in determining the outcome of RNA virus infections, the study of nsVGs has flourished in recent years exposing a need for bioinformatic tools that can accurately identify them within Next-Generation Sequencing data obtained from infected samples. Here, we present our data analysis pipeline, Viral Opensource DVG Key Algorithm2 (VODKA2), that is optimized to run on a High Performance Computing (HPC) environment for fast and accurate detection of nsVGs from large data sets. Availability and implementationVODKA2 is freely available at GitHub (https://github.com/lopezlab-washu/VODKA2)

bioinformatics↗

Accumulation of copy-back viral genomes during respiratory syncytial virus infection is preceded by diversification of the copy-back viral genome population followed by selection

RNA viruses generate non-standard viral genomes during their replication, including viral genomes of the copy-back (cbVG) type that cannot replicate in the absence of a standard virus. cbVGs play a crucial role in shaping virus infection outcomes due to their ability to interfere with virus replication and induce strong immune responses. However, despite their critical role during infection, the principles that drive the selection and evolution of cbVGs within a virus population are poorly understood. As cbVGs are dependent on the virus replication machinery to be generated and replicated, we hypothesized that host factors that affect virus replication exert selective pressure on cbVGs and drive their evolution within a virus population. To test this hypothesis, we used respiratory syncytial virus (RSV) as model and took an experimental evolution approach by serially passaging RSV in immune competent A549 control and immune deficient A549 STAT1 KO cells which allow higher levels of virus replication. As predicted, we observed that virus populations accumulated higher amounts of cbVGs in the more permissive A549 STAT1 KO cells over time but, unexpectedly, the predominant cbVG species after passages in the two conditions were different. While A549 STAT1 KO cells accumulated relatively short cbVGs, A549 control cells mainly contained cbVGs of much longer predicted size that have not been described previously. These long cbVGs were predominant at first in both cell lines in vitro and the predominant ones observed in samples from RSV infected patients. Although sustained high replication levels are associated with cbVG generation and accumulation, our data show that sustained high levels of virus replication are critical for cbVG population diversification, a process that preceded the generation of shorter cbVGs that selectively accumulated over time. Taken together, we show that selection and evolution of cbVGs within a virus population is shaped by how resistant or permissive a host is to RSV.

microbiology↗