Article

In-vivo mutation rates and fitness landscape of HIV-1

2016-03-21

Abstract excerpt

Mutation rates and fitness costs of deleterious mutations are difficult to measure in vivo but essential for a quantitative understanding of evolution. Using whole genome deep sequencing data from longitudinal samples during untreated HIV-1 infection, we estimated mutation rates and fitness costs in HIV-1 from the temporal dynamics of genetic variation. At approximately neutral sites, mutations accumulate with a...

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Literature Corpus work: eb8e9210-b35c-57a1-aaf9-01e75b1f03b1
DOI: 10.1101/045039

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