Wada K N, Doi H, Tanaka S, Wada Y, Furusawa M
Furusawa MorphoGene Project, ERATO, Research Development Corporation of Japan (JRDC), Tokyo.
Proc Natl Acad Sci U S A. 1993 Dec 15;90(24):11934-8. doi: 10.1073/pnas.90.24.11934.
Evolution is, in a sense, to resolve optimization problems. Our neo-Darwinian algorithm based on the mechanics of inheritance and natural selection uses double-stranded DNA-type genetic information to resolve the "knap-sack problem." The algorithm with asymmetrical mutations due to semiconservative DNA-type replication most effectively resolved the problem. Our results strongly suggest that disparity in mutations caused by the asymmetric machinery of DNA replication promotes evolution, in particular of diploid organisms with a high mutation rate, in a small population, and under strong selection pressure.
从某种意义上说，进化就是解决优化问题。我们基于遗传和自然选择机制的新达尔文算法利用双链DNA型遗传信息来解决“背包问题”。由于半保留DNA型复制而产生不对称突变的算法最有效地解决了该问题。我们的结果有力地表明，由DNA复制的不对称机制引起的突变差异促进了进化，特别是在小种群中且处于强选择压力下具有高突变率的二倍体生物的进化。
