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Data from: Cell tropism predicts long-term nucleotide substitution rates of mammalian RNA viruses

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Hicks, Allison L.;Duffy, Siobain

Description

The high rates of RNA virus evolution are generally attributed to replication with error-prone RNA-dependent RNA polymerases. However, these long-term nucleotide substitution rates span three orders of magnitude and do not correlate well with mutation rates or selection pressures. This substitution rate variation may be explained by differences in virus ecology or intrinsic genomic properties. We generated nucleotide substitution rate estimates for mammalian RNA viruses and compiled comparable published rates, yielding a dataset of 118 substitution rates of structural genes from 51 different species, as well as 40 rates of non-structural genes from 28 species. Through ANCOVA analyses, we evaluated the relationships between these rates and four ecological factors: target cell, transmission route, host range, infection duration; and three genomic properties: genome length, genome sense, genome segmentation. Of these seven factors, we found target cells to be the only significant predictors of viral substitution rates, with tropisms for epithelial cells or neurons (P<0.0001) as the most significant predictors. Further, one-tailed t-tests showed that viruses primarily infecting epithelial cells evolve significantly faster than neurotropic viruses (P<0.0001 and P<0.001 for the structural genes and non-structural genes, respectively). These results provide strong evidence that the fastest evolving mammalian RNA viruses infect cells with the highest turnover rates: the highly proliferative epithelial cells. Estimated viral generation times suggest that epithelial-infecting viruses replicate more quickly than viruses with different cell tropisms. Our results indicate that cell tropism is a key factor in viral evolvability.

Citations (1)

Mentions (0)

Metrics

Dataset Index

2.2

FAIR Score

77%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Dryad

Assigned Domain

Subfield

Epidemiology

Field

Medicine

Domain

Health Sciences

Confidence Score

69%

Source

Scholar Data Model

Keywords

Porcine reproductive and respiratory syndrome virusRoss River virusBorna disease virusVenezuelan equine encephalitis virusRubella virusLassa virusSeoul virusEchovirus 13Echovirus 11Echovirus 33Western equine encephalitis virusCoxsackievirus B4Coxsackievirus A24Bovine ephemeral fever virusHuman astrovirusEchovirus 30Measles virusRotavirus CBovine coronavirusRotavirus APoliovirusEchovirus 6Rabies virusEchovirus 9Powassan virusSwine vesicular disease virusNorwalk virusChikungunya virusJapanese encephalitis virusEquine arteritis virusTick-borne encephalitis virusHepatitis CHoloceneHepatitis ACoxsackievirus A16Crimean-Congo hemorrhagic fever virusYellow fever virus

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00