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原文連結
論文資訊
- 類型：已發表論文
- 日期：2008
摘要
The rate of 突變 is central to 演化. 突變s are required for 適應, yet most 突變s with phenotypic effects are deleterious. As a consequence, the 突變 rate that maximizes 適應 will be some intermediate value. Here, we used digital organisms to investigate the ability of 自然選擇 to adjust and optimize 突變 rates. We assessed the optimal 突變 rate by empirically determining what 突變 rate produced the highest rate of 適應. Then, we allowed 突變 rates to evolve, and we evaluated the proximity to the optimum. Although we chose conditions favorable for 突變 rate optimization, the evolved rates were invariably far below the optimum across a wide range of experimental parameter settings. We hypothesized that the reason that 突變 rates evolved to be suboptimal was the ruggedness of 適應度景觀s. To test this hypothesis, we created a si
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