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- Diana Blank
- Computational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland;
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- Luise Wolf
- Computational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland;
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- Martin Ackermann
- Department of Environmental Systems Science, ETH Zürich, 8092 Zürich, Switzerland; and
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- Olin K. Silander
- Computational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland;
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説明
<jats:title>Significance</jats:title> <jats:p>Understanding the genetic changes that underlie phenotypic functional innovations is a fundamental goal in evolutionary biology, giving insight into species’ past, present, and future evolutionary trajectories. One important unresolved question is whether such genetic changes typically affect protein expression or protein structure. Here we use large-scale laboratory evolution with bacteria to quantify the types of genetic changes that occur during functional innovation. We show that whether these changes affect protein expression or protein structure depends on which cellular functions are being selected upon. We then show that changes affecting protein expression occur in qualitatively different sets of genes from changes affecting protein structure. These results show that using functional knowledge it is possible to predict the course of evolution.</jats:p>
収録刊行物
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 111 (8), 3044-3049, 2014-02-10
Proceedings of the National Academy of Sciences