Title |
Recombination Accelerates Adaptation on a Large-Scale Empirical Fitness Landscape in HIV-1
|
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Published in |
PLoS Genetics, June 2014
|
DOI | 10.1371/journal.pgen.1004439 |
Pubmed ID | |
Authors |
Danesh Moradigaravand, Roger Kouyos, Trevor Hinkley, Mojgan Haddad, Christos J. Petropoulos, Jan Engelstädter, Sebastian Bonhoeffer |
Abstract |
Recombination has the potential to facilitate adaptation. In spite of the substantial body of theory on the impact of recombination on the evolutionary dynamics of adapting populations, empirical evidence to test these theories is still scarce. We examined the effect of recombination on adaptation on a large-scale empirical fitness landscape in HIV-1 based on in vitro fitness measurements. Our results indicate that recombination substantially increases the rate of adaptation under a wide range of parameter values for population size, mutation rate and recombination rate. The accelerating effect of recombination is stronger for intermediate mutation rates but increases in a monotonic way with the recombination rates and population sizes that we examined. We also found that both fitness effects of individual mutations and epistatic fitness interactions cause recombination to accelerate adaptation. The estimated epistasis in the adapting populations is significantly negative. Our results highlight the importance of recombination in the evolution of HIV-I. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 15 | 33% |
Researcher | 10 | 22% |
Student > Master | 8 | 17% |
Student > Postgraduate | 3 | 7% |
Other | 2 | 4% |
Other | 2 | 4% |
Unknown | 6 | 13% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 20 | 43% |
Biochemistry, Genetics and Molecular Biology | 9 | 20% |
Computer Science | 2 | 4% |
Linguistics | 1 | 2% |
Mathematics | 1 | 2% |
Other | 5 | 11% |
Unknown | 8 | 17% |