期刊
SCIENCE
卷 336, 期 6081, 页码 601-604出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1216882
关键词
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资金
- ETH
Although the network topology of metabolism is well known, understanding the principles that govern the distribution of fluxes through metabolism lags behind. Experimentally, these fluxes can be measured by C-13-flux analysis, and there has been a long-standing interest in understanding this functional network operation from an evolutionary perspective. On the basis of C-13-determined fluxes from nine bacteria and multi-objective optimization theory, we show that metabolism operates close to the Pareto-optimal surface of a three-dimensional space defined by competing objectives. Consistent with flux data from evolved Escherichia coli, we propose that flux states evolve under the trade-off between two principles: optimality under one given condition and minimal adjustment between conditions. These principles form the forces by which evolution shapes metabolic fluxes in microorganisms' environmental context.
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