Dataset Information

Exploring the fitness landscape of an RNA virus by using a universal barcode microarray.

ABSTRACT: Studies of viral pathogenesis have relied heavily on analyses of specific clones and their genetic determinants of virulence. It is sometimes difficult to apply this reductionist approach to the study of RNA viruses, which by virtue of their very high mutation rates, exist as a complex mixture of mutants. While quasispecies theory has provided an intellectual framework for exploring the relationship between the viral population structure and phenotype, experimental studies have been limited by the relatively poor resolution of traditional sequencing-based approaches. We have addressed this problem by developing a molecular barcoding strategy in which viral subpopulations are tagged with unique 20-nucleotide sequences. The behavior of these subpopulations can be monitored using a universal barcode microarray. We demonstrate the performance of our barcode microarray platform using poliovirus, a model RNA virus. Using this platform, we explored the fitness landscape occupied by an artificial quasispecies consisting of 48 randomly mutagenized clones. We were able to rapidly derive precise fitness measurements for a majority of these clones and identified a neutral space surrounding the wild type. The experimental paradigm presented here is readily adaptable to other viral systems and can potentially be used to track thousands of variants in a cost-effective manner.

SUBMITTER: Lauring AS

PROVIDER: S-EPMC3126141 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Exploring the fitness landscape of an RNA virus by using a universal barcode microarray.

Lauring Adam S AS Andino Raul R

Journal of virology 20110202 8

Studies of viral pathogenesis have relied heavily on analyses of specific clones and their genetic determinants of virulence. It is sometimes difficult to apply this reductionist approach to the study of RNA viruses, which by virtue of their very high mutation rates, exist as a complex mixture of mutants. While quasispecies theory has provided an intellectual framework for exploring the relationship between the viral population structure and phenotype, experimental studies have been limited by t ...[more]

PMID: 21289109

Similar Datasets

Project description:Adaptive fitness landscapes are a fundamental concept in evolutionary biology that relate the genotypes of individuals to their fitness. In the end, the evolutionary fate of evolving populations depends on the topography of the landscape, that is, the numbers of accessible mutational pathways and possible fitness peaks (i.e., adaptive solutions). For a long time, fitness landscapes were only theoretical constructions due to a lack of precise information on the mapping between genotypes and phenotypes. In recent years, however, efforts have been devoted to characterizing the properties of empirical fitness landscapes for individual proteins or for microbes adapting to artificial environments. In a previous study, we characterized the properties of the empirical fitness landscape defined by the first five mutations fixed during adaptation of tobacco etch potyvirus (TEV) to a new experimental host, Arabidopsis thaliana Here we evaluate the topography of this landscape in the ancestral host Nicotiana tabacum By comparing the topographies of the landscapes for the two hosts, we found that some features remained similar, such as the existence of fitness holes and the prevalence of epistasis, including cases of sign and reciprocal sign epistasis that created rugged, uncorrelated, and highly random topographies. However, we also observed significant differences in the fine-grained details between the two landscapes due to changes in the fitness and epistatic interactions of some genotypes. Our results support the idea that not only fitness tradeoffs between hosts but also topographical incongruences among fitness landscapes in alternative hosts may contribute to virus specialization. IMPORTANCE Despite its importance for understanding virus evolutionary dynamics, very little is known about the topography of virus adaptive fitness landscapes, and even less is known about the effects that different host species and environmental conditions may have on this topography. To bridge this gap, we evaluated the topography of a small fitness landscape formed by all genotypes that result from every possible combination of the first five mutations fixed during adaptation of TEV to the novel host A. thaliana To assess the effect that host species may have on this topography, we evaluated the fitness of every genotype in both the ancestral and novel hosts. We found that both landscapes share some macroscopic properties, such as the existence of holes and being highly rugged and uncorrelated, yet they differ in microscopic details due to changes in the magnitude and sign of fitness and epistatic effects.

Dataset Information

Exploring the fitness landscape of an RNA virus by using a universal barcode microarray.

Publications

Exploring the fitness landscape of an RNA virus by using a universal barcode microarray.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets