↓ Skip to main content

PLOS

Quasispecies Made Simple

Overview of attention for article published in PLoS Computational Biology, November 2005
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
4 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
153 Dimensions

Readers on

mendeley
295 Mendeley
citeulike
6 CiteULike
connotea
2 Connotea
Title
Quasispecies Made Simple
Published in
PLoS Computational Biology, November 2005
DOI 10.1371/journal.pcbi.0010061
Pubmed ID
Authors

J J Bull, Lauren Ancel Meyers, Michael Lachmann

Abstract

Quasispecies are clouds of genotypes that appear in a population at mutation-selection balance. This concept has recently attracted the attention of virologists, because many RNA viruses appear to generate high levels of genetic variation that may enhance the evolution of drug resistance and immune escape. The literature on these important evolutionary processes is, however, quite challenging. Here we use simple models to link mutation-selection balance theory to the most novel property of quasispecies: the error threshold-a mutation rate below which populations equilibrate in a traditional mutation-selection balance and above which the population experiences an error catastrophe, that is, the loss of the favored genotype through frequent deleterious mutations. These models show that a single fitness landscape may contain multiple, hierarchically organized error thresholds and that an error threshold is affected by the extent of back mutation and redundancy in the genotype-to-phenotype map. Importantly, an error threshold is distinct from an extinction threshold, which is the complete loss of the population through lethal mutations. Based on this framework, we argue that the lethal mutagenesis of a viral infection by mutation-inducing drugs is not a true error catastophe, but is an extinction catastrophe.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 4%
Brazil 6 2%
Colombia 2 <1%
Germany 2 <1%
Switzerland 2 <1%
Japan 2 <1%
Mexico 2 <1%
Kenya 1 <1%
Israel 1 <1%
Other 8 3%
Unknown 258 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 25%
Researcher 59 20%
Student > Master 29 10%
Professor > Associate Professor 24 8%
Professor 22 7%
Other 57 19%
Unknown 31 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 147 50%
Biochemistry, Genetics and Molecular Biology 30 10%
Physics and Astronomy 15 5%
Medicine and Dentistry 11 4%
Immunology and Microbiology 10 3%
Other 43 15%
Unknown 39 13%