Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.

Integrative Genomics Viewer

(1991). Applied Linear Regression Models. Journal of Quality Technology: Vol. 23, No. 1, pp. 76-77.

Applied Linear Regression Models

Understanding the factors that determine the rate at which genomes generate and fix mutations provides important insights into key evolutionary mechanisms. We review our current knowledge of the rates of mutation and substitution, as well as their determinants, in RNA viruses, DNA viruses and retroviruses. We show that the high rate of nucleotide substitution in RNA viruses is matched by some DNA viruses, suggesting that evolutionary rates in viruses are explained by diverse aspects of viral biology, such as genomic architecture and replication speed, and not simply by polymerase fidelity.

Rates of evolutionary change in viruses: patterns and determinants.

The Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicity.

The high mutation rate of RNA viruses is credited with their evolvability and virulence. This Primer, however, discusses recent evidence that this is, in part, a byproduct of selection for faster genomic replication.

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Why are RNA virus mutation rates so damn high

Geminiviruses are devastating viruses of plants that possess single-stranded DNA (ssDNA) DNA genomes. Despite the importance of this class of phytopathogen, there have been no estimates of the rate of nucleotide substitution in the geminiviruses. We report here the evolutionary rate of the tomato yellow leaf curl disease-causing viruses, an intensively studied group of monopartite begomoviruses. Sequences from GenBank, isolated from diseased plants between 1988 and 2006, were analyzed using Bayesian coalescent methods. The mean genomic substitution rate was estimated to be 2.88 x 10(-4) nucleotide substitutions per site per year (subs/site/year), although this rate could be confounded by frequent recombination within Tomato yellow leaf curl virus genomes. A recombinant-free data set comprising the coat protein (V1) gene in isolation yielded a similar mean rate (4.63 x 10(-4) subs/site/year), validating the order of magnitude of genomic substitution rate for protein-coding regions. The intergenic region, which is known to be more variable, was found to evolve even more rapidly, with a mean substitution rate of approximately 1.56 x 10(-3) subs/site/year. Notably, these substitution rates, the first reported for a plant DNA virus, are in line with those estimated previously for mammalian ssDNA viruses and RNA viruses. Our results therefore suggest that the high evolutionary rate of the geminiviruses is not primarily due to frequent recombination and may explain their ability to emerge in novel hosts.

Phylogenetic evidence for rapid rates of molecular evolution in the single-stranded DNA begomovirus tomato yellow leaf curl virus.

Whole-genome shotgun sequence data from three individual cells isolated from seawater, followed by analysis of ribosomal DNA, indicated that the cells represented three divergent clades of picobiliphytes. In contrast with the recent description of this phylum, we found no evidence of plastid DNA nor of nuclear-encoded plastid-targeted proteins, which suggests that these picobiliphytes are heterotrophs. Genome data from one cell were dominated by sequences from a widespread single-stranded DNA virus. This virus was absent from the other two cells, both of which contained non-eukaryote DNA derived from marine Bacteroidetes and large DNA viruses. By using shotgun sequencing of uncultured marine picobiliphytes, we revealed the distinct interactions of individual cells.

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Single-Cell Genomics Reveals Organismal Interactions in Uncultivated Marine Protists

Despite their small size and limited protein-coding capacity, the rapid evolution rates of single-stranded DNA (ssDNA) viruses have led to their emergence as serious plant and animal pathogens. Recently, metagenomics has revealed an unprecedented diversity of ssDNA viruses, expanding their known environmental distributions and host ranges. This review summarizes and contrasts the basic characteristics of known circular ssDNA viral groups, providing a resource for analyzing the wealth of ssDNA viral sequences identified through metagenomics. Since ssDNA viruses are largely identified based on conserved rolling circle replication proteins, this review highlights distinguishing motifs and catalytic residues important for replication. Genomes identified through metagenomics have demonstrated unique ssDNA viral genome architectures and revealed characteristics that blur the boundaries between previously well-defined groups. Metagenomic discovery of ssDNA viruses has created both a challenge to current taxonomic classification schemes and an opportunity to revisit hypotheses regarding the evolutionary history of these viruses.

Siobain Duffy

Papers

Rates of evolutionary change in viruses: patterns and determinants.

Why are RNA virus mutation rates so damn high

Phylogenetic evidence for rapid rates of molecular evolution in the single-stranded DNA begomovirus tomato yellow leaf curl virus.

Single-Cell Genomics Reveals Organismal Interactions in Uncultivated Marine Protists

A field guide to eukaryotic circular single-stranded DNA viruses: insights gained from metagenomics