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MetLab: An In Silico Experimental Design, Simulation and Analysis Tool for Viral Metagenomics Studies.

ABSTRACT: Metagenomics, the sequence characterization of all genomes within a sample, is widely used as a virus discovery tool as well as a tool to study viral diversity of animals. Metagenomics can be considered to have three main steps; sample collection and preparation, sequencing and finally bioinformatics. Bioinformatic analysis of metagenomic datasets is in itself a complex process, involving few standardized methodologies, thereby hampering comparison of metagenomics studies between research groups. In this publication the new bioinformatics framework MetLab is presented, aimed at providing scientists with an integrated tool for experimental design and analysis of viral metagenomes. MetLab provides support in designing the metagenomics experiment by estimating the sequencing depth needed for the complete coverage of a species. This is achieved by applying a methodology to calculate the probability of coverage using an adaptation of Stevens' theorem. It also provides scientists with several pipelines aimed at simplifying the analysis of viral metagenomes, including; quality control, assembly and taxonomic binning. We also implement a tool for simulating metagenomics datasets from several sequencing platforms. The overall aim is to provide virologists with an easy to use tool for designing, simulating and analyzing viral metagenomes. The results presented here include a benchmark towards other existing software, with emphasis on detection of viruses as well as speed of applications. This is packaged, as comprehensive software, readily available for Linux and OSX users at https://github.com/norling/metlab.

SUBMITTER: Norling M

PROVIDER: S-EPMC4968819 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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MetLab: An In Silico Experimental Design, Simulation and Analysis Tool for Viral Metagenomics Studies.

Norling Martin M Karlsson-Lindsjö Oskar E OE Gourlé Hadrien H Bongcam-Rudloff Erik E Hayer Juliette J

PloS one 20160801 8

Metagenomics, the sequence characterization of all genomes within a sample, is widely used as a virus discovery tool as well as a tool to study viral diversity of animals. Metagenomics can be considered to have three main steps; sample collection and preparation, sequencing and finally bioinformatics. Bioinformatic analysis of metagenomic datasets is in itself a complex process, involving few standardized methodologies, thereby hampering comparison of metagenomics studies between research groups ...[more]

PMID: 27479078

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Project description:BackgroundRodents are widely distributed and are the natural reservoirs of a diverse group of zoonotic viruses. Thus, analyzing the viral diversity harbored by rodents could assist efforts to predict and reduce the risk of future emergence of zoonotic viral diseases. Rodents are commonly used in animal testing, particularly mice and rats. Experimental rats are important animal models, and a history of pathogenic infections in these animals will directly affect the animal trial results. The pathogenicity of Anellovirus (AV) remains poorly understood due to the lack of a suitable model cell line or animal to support the viral cycle. This study aimed to discover possible anelloviruses from the virome in feces of experimental rats by viral metagenomic technique.MethodsFecal samples were collected from 10 commercial SD rats and pooled into a sample pool and then subjected to libraries construction which was then sequenced on Illumina MiSeq platform. The sequenced reads were analyzed using viral metagenomic analysis pipeline and two novel anelloviruses (AVs) were identified from fecal sample of experimental rats. The prevalence of these two viruses was investigated by conventional PCR.ResultsThe complete genomic sequence of these two AVs were determined and fully characterized, with strain name ratane153-zj1 and ratane153-zj2. The circular genomes of ratane153-zj1 and ratane153-zj2 are 2785 nt and 1930 nt in length, respectively, and both include three ORFs. Ratane153-zj1 closely clustered with members within the genus Wawtorquevirus and formed a separate branch based on the phylogenetic tree constructed over the amino acid sequence of ORF1 of the two AVs identified in this study and other related AVs. While the complete amino acid sequences of ORF1 of ratane153-zj2 (nt 335 to 1390) had the highest sequence identity with an unclassified AV (GenBank No. ATY37438) from Chinchilla lanigera, and they clustered with one AV (GenBank No. QYD02305) belonging to the genus Etatorquevirus from Lynx rufus. Conventional PCR with two sets of specific primers designed based on the two genomes, respectively, showed that they were detectable at a low frequency in cohorts of experimental rats.ConclusionOur study expanded the genome diversity of AVs and provided genetic background information of viruses existed in experimental rats.

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MetLab: An In Silico Experimental Design, Simulation and Analysis Tool for Viral Metagenomics Studies.

Publications

MetLab: An In Silico Experimental Design, Simulation and Analysis Tool for Viral Metagenomics Studies.

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