Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates
The catalytic efficiency of many enzymes is lower than the theoretical maximum. Here, the authors combine genome-scale metabolic modeling with population genetics models to simulate enzyme evolution, and find that strong epistasis limits turnover numbers due to diminishing returns of fitness gains.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-07649-1 |
| Summary: | The catalytic efficiency of many enzymes is lower than the theoretical maximum. Here, the authors combine genome-scale metabolic modeling with population genetics models to simulate enzyme evolution, and find that strong epistasis limits turnover numbers due to diminishing returns of fitness gains. |
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| ISSN: | 2041-1723 |