Lack of evolutionary stasis during alternating replication of an arbovirus in insect and mammalian cells

Novella, Isabel S.; Hershey, Christine L.; Escarmı́s, Cristina; Domingo, Esteban; Holland, John J.

doi:10.1006/jmbi.1999.2635

Cited by 126 publications

(154 citation statements)

References 24 publications

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“…Three types of in vitro experiments have been done in relation to environmental changes. First, experiments of adaptation of VSV to new hosts (46,47) has been done. VSV clones, previously adapted to BHK cells, gained fitness after few passages on alternative new host cells.…”

Section: The Dynamics Of Deleterious Mutations In Finite Populationsmentioning

confidence: 99%

“…Second, the fitness changes associated with adaptation to fluctuating environments also were explored. Experiments have been done with VSV and Eastern equine encephalitis virus (47,48), where viruses were grown in two new cell types, changing daily. Both viruses were selected with increased fitness in both novel environments.…”

Section: The Dynamics Of Deleterious Mutations In Finite Populationsmentioning

confidence: 99%

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The evolution of RNA viruses: A population genetics view

Moya

Elena

Bracho

et al. 2000

Proc. Natl. Acad. Sci. U.S.A.

157

112

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RNA viruses are excellent experimental models for studying evolution under the theoretical framework of population genetics. For a proper justification of this thesis we have introduced some properties of RNA viruses that are relevant for studying evolution. On the other hand, population genetics is a reductionistic theory of evolution. It does not consider or make simplistic assumptions on the transformation laws within and between genotypic and phenotypic spaces. However, such laws are minimized in the case of RNA viruses because the phenotypic space maps onto the genotypic space in a much more linear way than on higher DNA-based organisms. Under experimental conditions, we have tested the role of deleterious and beneficial mutations in the degree of adaptation of vesicular stomatitis virus (VSV), a nonsegmented virus of negative strand. We also have studied how effective population size, initial genetic variability in populations, and environmental heterogeneity shapes the impact of mutations in the evolution of vesicular stomatitis virus. Finally, in an integrative attempt, we discuss pros and cons of the quasispecies theory compared with classic population genetics models for haploid organisms to explain the evolution of RNA viruses.

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Section: The Dynamics Of Deleterious Mutations In Finite Populationsmentioning

confidence: 99%

Section: The Dynamics Of Deleterious Mutations In Finite Populationsmentioning

confidence: 99%

The evolution of RNA viruses: A population genetics view

Moya

Elena

Bracho

et al. 2000

Proc. Natl. Acad. Sci. U.S.A.

157

112

View full text Add to dashboard Cite

show abstract

“…If the selected and the unselected gene have strong negative epistatic interactions, then mutations in the unselected gene will likely have a negative effect on fitness, and thus be selected against. Similar changes in genetic architecture have been observed as a response to alternating environments in experiments with arboviruses: Vesicular stomatitis virus experienced fitness increases in both cell types when subjected to alternating passages in mammalian and insect cells [17] or different mammalian cells [23]. Adaptation to a single cell type in a constant environment resulted only sometimes in increased fitness in the other cell type.…”

Section: Discussionmentioning

confidence: 56%

Digital Evolution in Time-Dependent Fitness Landscapes

Wilke

2004

Artificial Life

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We study the response of populations of digital organisms that adapt to a time-varying (periodic) fitness landscape of two oscillating peaks. We corroborate in general predictions from quasi-species theory in dynamic landscapes, such as adaptation to the average fitness landscape at small periods (high frequency) and quasistatic adaptation at large periods (low frequency). We also observe adaptive phase shifts (time lags between a change in the fitness landscape and an adaptive change in the population) that indicate a low-pass filter effect, in agreement with existing theory. Finally, we witness long-term adaptation to fluctuating environments not anticipated in previous theoretical work.

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“…Resource generalization is often assumed to be costly, fostering arguments that natural species biodiversity can be explained by a tendency for niche specialists to be favored over niche generalists (Finke and Snyder 2008). However, many experimental evolution studies in microbes such as RNA viruses have shown that genotypes that evolve to use multiple hosts are not necessarily fitness disadvantaged relative to their more specialized counterparts (Novella et al 1999;Turner and Elena 2000;Remold et al 2008). These collections of microbes could be harnessed to conduct studies examining whether an evolved broad host range is superior to a narrow host range, when avoidance of extinction is the selective challenge.…”

Section: Discussionmentioning

confidence: 99%

Predicting Virus Evolution: The Relationship between Genetic Robustness and Evolvability of Thermotolerance

Ogbunugafor

McBride²,

Turner³

2009

Cold Spring Harbor Symposia on Quantitative Biology

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As a naturalist, Charles Darwin was understandably fascinated by the species diversity visible in the natural world. However, he understood little of the invisible realm of genes-the units of inheritance that are passed across generations and contribute to the phenotypic variation evident in biological populations. Yet Darwin showed remarkable insight when formulating his ideas on evolution via natural selection, as a process whereby the environment determines which variants in a population are favored to contribute their traits to succeeding generations, leading to microevolutionary changes over short timescales. Furthermore, Darwin perceptively understood that natural selection is a process that can also primarily account for nature's vast biodiversity-resulting from macroevolution occurring over long timescales-which Darwin described as "endless forms most wonderful" (Darwin 1859).Many modern-day evolutionary biologists are concerned with elucidating patterns of extant diversity, seeking to understand how descent with modification from common ancestry accounts for Earth's myriad forms that have evolved since life arose billions of years ago. In contrast, other evolutionary biologists are largely concerned with the processes of evolutionary change that underlie these patterns, examining how mechanisms such as selection and drift can lead to altered phenotypes and genotypes across relatively few generations. Both camps of evolutionary biologists have increasingly powerful and sophisticated approaches for studying patterns and processes of evolution, allowing more accurate glimpses into the mysterious "black boxes" of past and ongoing evolutionary events (see, e.g., Lenski et al. 2003;Thornton et al. 2003;Vrba and DeGusta 2004;Weinreich et al. 2006).Arguably, evolutionary biology mostly concerns scrutiny of past and present events, rather than forthcoming events, i.e., evolutionary biologists tend to resist the temptation to study and predict how evolution will play out in the future. Such predictive efforts are necessarily more difficult than retrospective analyses, because foretelling the future is inherently less precise than resolving the past. For this reason, relatively less energy has been placed into developing evolutionary biology into a truly predictive science. Of course, like other scientists, evolutionary biologists often make explicit predictions, referred to as hypothesis testing. But there is a distinct difference between formulating a hypothesis that concerns events that have already occurred and formulating a hypothesis that predicts events yet to occur. EVOLVABILITY STUDIED USING MATHEMATICAL THEORY AND BIOLOGICAL EXPERIMENTSMathematical studies in evolutionary biology are sometimes future-minded. For example, John Maynard Smith (1982) famously popularized evolutionary game theory, a discipline that often seeks to mathematically determine whether a population can evolve an unbeatable strategy when dealing with competition for finite resources, such as food, mates, or nesting sites. If this evo...

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Lack of evolutionary stasis during alternating replication of an arbovirus in insect and mammalian cells

Cited by 126 publications

References 24 publications

The evolution of RNA viruses: A population genetics view

The evolution of RNA viruses: A population genetics view

Digital Evolution in Time-Dependent Fitness Landscapes

Predicting Virus Evolution: The Relationship between Genetic Robustness and Evolvability of Thermotolerance

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