Mutagenic evidence for the optimal control of evolutionary dynamics.
Elucidating the fitness measures optimized during the evolution of complex biological systems is a major challenge in evolutionary theory. We present experimental evidence and an analytical framework demonstrating how biochemical networks exploit optimal control strategies in their evolutionary dynamics. Optimal control theory explains a striking pattern of extremization in the redox potentials of electron transport proteins, assuming only that their fitness measure is a control objective functional with bounded controls.
Chakrabarti
Raj
R
Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA. rajchak@princeton.edu
Rabitz
Herschel
H
Springs
Stacey L
SL
McLendon
George L
GL
D000255:Adenosine Triphosphate / Q000378:metabolism; D003573:Cytochrome b Group / Q000235:genetics / Q000378:metabolism; D019143:Evolution, Molecular; D008957:Models, Genetic; D009154:Mutation; D010084:Oxidation-Reduction; D011506:Proteins / Q000235:genetics* / Q000378:metabolism
D003573:Cytochrome b Group; D011506:Proteins; D000255:Adenosine Triphosphate