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Quantifying In-Host Quasispecies Evolution

Authors: Josep Gregori; Marta Ibañez-Lligoña; Josep Quer;

Quantifying In-Host Quasispecies Evolution

Abstract

What takes decades, centuries or millennia to happen with a natural ecosystem, it takes only days, weeks or months with a replicating viral quasispecies in a host, especially when under treatment. Some methods to quantify the evolution of a quasispecies are introduced and discussed, along with simple simulated examples to help in the interpretation and understanding of the results. The proposed methods treat the molecules in a quasispecies as individuals of competing species in an ecosystem, where the haplotypes are the competing species, and the ecosystem is the quasispecies in a host, and the evolution of the system is quantified by monitoring changes in haplotype frequencies. The correlation between the proposed indices is also discussed, and the R code used to generate the simulations, the data and the plots is provided. The virtues of the proposed indices are finally shown on a clinical case.

Country
Spain
Keywords

Evolució molecular, Distributions similarity, quasispecies fitness partition, Virus - Reproducció, Quasispecies evolution, Quasispecies fitness partition, PHENOMENA AND PROCESSES::Genetic Phenomena::Genetic Variation::Quasispecies, Article, viral treatment, Viral treatment, Evolution, Molecular, Quasispecies, distributions similarity, Mutagenesis, quasispecies evolution, FENÓMENOS Y PROCESOS::fenómenos genéticos::variación genética::cuasiespecies, Humans, PHENOMENA AND PROCESSES::Genetic Phenomena::Biological Evolution::Evolution, Molecular, FENÓMENOS Y PROCESOS::fenómenos genéticos::evolución biológica::evolución molecular, mutagenesis, Ecosystem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
gold