2018
DOI: 10.1088/1402-4896/aaaba4
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Towards physical principles of biological evolution

Abstract: Biological systems reach organizational complexity that far exceeds the complexity of any known inanimate objects. Biological entities undoubtedly obey the laws of quantum physics and statistical mechanics. However, is modern physics sufficient to adequately describe, model and explain the evolution of biological complexity? Detailed parallels have been drawn between statistical thermodynamics and the population-genetic theory of biological evolution. Based on these parallels, we outline new perspectives on bi… Show more

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Cited by 35 publications
(36 citation statements)
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References 160 publications
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“…Here, we do not present the actual mathematical theory of frustration-driven evolution. It seems likely that physical and mathematical ideas and formalisms beyond those currently known are necessary to develop such a theory ( 141 ).…”
Section: Frustration As the Key Factor Underlying All Complexity In Nmentioning
confidence: 99%
“…Here, we do not present the actual mathematical theory of frustration-driven evolution. It seems likely that physical and mathematical ideas and formalisms beyond those currently known are necessary to develop such a theory ( 141 ).…”
Section: Frustration As the Key Factor Underlying All Complexity In Nmentioning
confidence: 99%
“…1 Introduction Complexity of a system, a state or a process is one of the most intuitively clear yet very elusive concepts in our perception of the reality [1]- [8]. It is unlikely that a unique, both universal and practically useful, definition of complexity might exist [2].…”
mentioning
confidence: 99%
“…More generally, severe population bottlenecks that can be caused by environmental stress, and especially, catastrophic events, are known as times of evolutionary innovation when slightly or moderately deleterious mutations that are weeded out by purifying selection in larger populations can be fixed via genetic drift 12,[26][27][28] . The findings reported here show that the innovation potential 29 of population bottlenecks could be even higher than considered previously thanks to the possibility of abrupt major changes brought about my multi-mutational leaps. Such leaps can be one of the keys to the puzzle of the evolution of complex adaptations requiring multiple mutations that are adaptive all together whereas each is neutral or even slightly deleterious on its own 11,[30][31][32] .…”
mentioning
confidence: 56%