The evolutionary origin of complex features

被引:404
作者
Lenski, RE [1 ]
Ofria, C
Pennock, RT
Adami, C
机构
[1] Michigan State Univ, Dept Microbiol & Mol Genet, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
[3] Michigan State Univ, Lyman Briggs Sch, E Lansing, MI 48824 USA
[4] Michigan State Univ, Dept Philosophy, E Lansing, MI 48824 USA
[5] CALTECH, Digital Life Lab, Pasadena, CA 91125 USA
关键词
D O I
10.1038/nature01568
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A long-standing challenge to evolutionary theory has been whether it can explain the origin of complex organismal features. We examined this issue using digital organisms-computer programs that self-replicate, mutate, compete and evolve. Populations of digital organisms often evolved the ability to perform complex logic functions requiring the coordinated execution of many genomic instructions. Complex functions evolved by building on simpler functions that had evolved earlier, provided that these were also selectively favoured. However, no particular intermediate stage was essential for evolving complex functions. The first genotypes able to perform complex functions differed from their non-performing parents by only one or two mutations, but differed from the ancestor by many mutations that were also crucial to the new functions. In some cases, mutations that were deleterious when they appeared served as stepping-stones in the evolution of complex features. These findings show how complex functions can originate by random mutation and natural selection.
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页码:139 / 144
页数:6
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