Evolution of oil droplets in a chemorobotic platform

被引：89

作者：

Gutierrez, Juan Manuel Parrilla ^{[1
]}

Hinkley, Trevor ^{[1
]}

Taylor, James Ward ^{[1
]}

Yanev, Kliment ^{[2
]}

Cronin, Leroy ^{[1
]}

机构：

[1] Univ Glasgow, Sch Chem, WestCHEM, Glasgow G12 8QQ, Lanark, Scotland

[2] Future Bits OpenTech UG, D-51103 Cologne, Germany

来源：

NATURE COMMUNICATIONS | 2014年 / 5卷

基金：

英国工程与自然科学研究理事会;

关键词：

SELF-REPRODUCTION; SYSTEMS;

D O I：

10.1038/ncomms6571

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：

Evolution, once the preserve of biology, has been widely emulated in software, while physically embodied systems that can evolve have been limited to electronic and robotic devices and have never been artificially implemented in populations of physically interacting chemical entities. Herein we present a liquid-handling robot built with the aim of investigating the properties of oil droplets as a function of composition via an automated evolutionary process. The robot makes the droplets by mixing four different compounds in different ratios and placing them in a Petri dish after which they are recorded using a camera and the behaviour of the droplets analysed using image recognition software to give a fitness value. In separate experiments, the fitness function discriminates based on movement, division and vibration over 21 cycles, giving successive fitness increases. Analysis and theoretical modelling of the data yields fitness landscapes analogous to the genotype-phenotype correlations found in biological evolution.

引用

页数：8

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