Information theory, evolutionary innovations and evolvability

被引:14
作者
Wagner, Andreas [1 ,2 ,3 ]
机构
[1] Univ Zurich, Inst Evolutionary Biol & Environm Studies, CH-8057 Zurich, Switzerland
[2] Swiss Inst Bioinformat, CH-1015 Lausanne, Switzerland
[3] Santa Fe Inst, Santa Fe, NM 87501 USA
基金
瑞士国家科学基金会;
关键词
evolvability; gene duplication; progress; IN-VITRO SELECTION; FITNESS LANDSCAPE; ESCHERICHIA-COLI; ROBUSTNESS; COMPLEXITY; RECONSTRUCTION; ADAPTATION; DIVERSITY; SEQUENCES;
D O I
10.1098/rstb.2016.0416
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
How difficult is it to 'discover' an evolutionary adaptation or innovation? I here suggest that information theory, in combination with high-throughput DNA sequencing, can help answer this question by quantifying a new phenotype's information content. I apply this framework to compute the phenotypic information associated with novel gene regulation and with the ability to use novel carbon sources. The framework can also help quantify how DNA duplications affect evolvability, estimate the complexity of phenotypes and clarify the meaning of 'progress' in Darwinian evolution. This article is part of the themed issue 'Process and pattern in innovations from cells to societies'.
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页数:8
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