Dataset Information

Recombination analysis of Human mastadenovirus C whole genomes.

ABSTRACT: This study aims at analyzing all publicly available HAdV-C whole genome sequences (WGSs) and describes the genetic relationships between these genomes as well as identifies potential hotspots for recombination throughout the viral genome. In addition to the 4 prototypical genomic sequences, this analysis identified 20 HAdV-C WGSs which should be relevant for future recombination analysis of HAdV-C. This report confirmed the recombinogenic property of HAdV-C genomes and identified two main regions for breakpoints, within the hexon gene and around the fiber genomic region. No obvious recombination was detected between HAdV-Cs and non-human mastadenoviruses or non-C HAdVs. Finally, it highlighted the need for a surveillance of HAdVs in order to detect novel recombinant types that might represent health risks and develop possible prevention measures. Genetic analyses of recombination between recently collected HAdV-Cs and the assessment of their potential virulence are necessary steps towards the establishment of a surveillance of HAdVs in the future.

SUBMITTER: Rivailler P

PROVIDER: S-EPMC6379361 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Recombination analysis of Human mastadenovirus C whole genomes.

Rivailler Pierre P Mao Naiying N Zhu Zhen Z Xu Wenbo W

Scientific reports 20190218 1

This study aims at analyzing all publicly available HAdV-C whole genome sequences (WGSs) and describes the genetic relationships between these genomes as well as identifies potential hotspots for recombination throughout the viral genome. In addition to the 4 prototypical genomic sequences, this analysis identified 20 HAdV-C WGSs which should be relevant for future recombination analysis of HAdV-C. This report confirmed the recombinogenic property of HAdV-C genomes and identified two main region ...[more]

PMID: 30778154

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Project description:Humans are a diploid species that inherit one set of chromosomes paternally and one homologous set of chromosomes maternally. Unfortunately, most human sequencing initiatives ignore this fact in that they do not directly delineate the nucleotide content of the maternal and paternal copies of the 23 chromosomes individuals possess (i.e., they do not 'phase' the genome) often because of the costs and complexities of doing so. We compared 11 different widely-used approaches to phasing human genomes using the publicly available 'Genome-In-A-Bottle' (GIAB) phased version of the NA12878 genome as a gold standard. The phasing strategies we compared included laboratory-based assays that prepare DNA in unique ways to facilitate phasing as well as purely computational approaches that seek to reconstruct phase information from general sequencing reads and constructs or population-level haplotype frequency information obtained through a reference panel of haplotypes. To assess the performance of the 11 approaches, we used metrics that included, among others, switch error rates, haplotype block lengths, the proportion of fully phase-resolved genes, phasing accuracy and yield between pairs of SNVs. Our comparisons suggest that a hybrid or combined approach that leverages: 1. population-based phasing using the SHAPEIT software suite, 2. either genome-wide sequencing read data or parental genotypes, and 3. a large reference panel of variant and haplotype frequencies, provides a fast and efficient way to produce highly accurate phase-resolved individual human genomes. We found that for population-based approaches, phasing performance is enhanced with the addition of genome-wide read data; e.g., whole genome shotgun and/or RNA sequencing reads. Further, we found that the inclusion of parental genotype data within a population-based phasing strategy can provide as much as a ten-fold reduction in phasing errors. We also considered a majority voting scheme for the construction of a consensus haplotype combining multiple predictions for enhanced performance and site coverage. Finally, we also identified DNA sequence signatures associated with the genomic regions harboring phasing switch errors, which included regions of low polymorphism or SNV density.

Dataset Information

Recombination analysis of Human mastadenovirus C whole genomes.

Publications

Recombination analysis of Human mastadenovirus C whole genomes.

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