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?:abstract
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Here a bioinformatic pipeline VVV has been developed to analyse viral populations in a given sample from Next Generation Sequencing (NGS) data. To date, handling large amounts of data from NGS requires the expertise of bioinformaticians, both for data processing and result analysis. Consequently, VVV was designed to help non-bioinformaticians to perform these tasks. By providing only the NGS data file, the developed pipeline generated consensus sequences and determined the composition of the viral population for an avian Metapneumovirus (AMPV) and three different animal coronaviruses (Porcine Epidemic Diarrhea Virus (PEDV), Turkey Coronavirus (TCoV) and Infectious Bronchitis Virus (IBV)). In all cases, the pipeline produced viral consensus genomes corresponding to known consensus sequence and made it possible to highlight the presence of viral genetic variants through a single graphic representation. The method was validated by comparing the viral populations of an AMPV field sample, and of a copy of this virus produced from a DNA clone. VVV demonstrated that the cloned virus population was homogeneous (as designed) at position 2934 where the wild-type virus demonstrated two variant populations at a ratio of almost 50:50. A total of 18, 10, 3 and 28, viral genetic variants were detected for AMPV, PEDV, TCoV and IBV respectively. The simplicity of this pipeline makes the study of viral genetic variants more accessible to a wide variety of biologists, which should ultimately increase the rate of understanding of the mechanisms of viral genetic evolution.
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