z-logo
open-access-imgOpen Access
Survival of the cheapest: how proteome cost minimization drives evolution
Author(s) -
Kasper P. Kepp
Publication year - 2020
Publication title -
quarterly reviews of biophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.613
H-Index - 97
eISSN - 1469-8994
pISSN - 0033-5835
DOI - 10.1017/s0033583520000037
Subject(s) - proteome , selection (genetic algorithm) , minification , evolutionary biology , function (biology) , computational biology , biological evolution , living systems , survival of the fittest , biology , darwin (adl) , computer science , bioinformatics , artificial intelligence , ecology , genetics , software engineering , programming language
Darwin's theory of evolution emphasized that positive selection of functional proficiency provides the fitness that ultimately determines the structure of life, a view that has dominated biochemical thinking of enzymes as perfectly optimized for their specific functions. The 20th-century modern synthesis, structural biology, and the central dogma explained the machinery of evolution, and nearly neutral theory explained how selection competes with random fixation dynamics that produce molecular clocks essential e.g. for dating evolutionary histories. However, quantitative proteomics revealed that selection pressures not relating to optimal function play much larger roles than previously thought, acting perhaps most importantly via protein expression levels. This paper first summarizes recent progress in the 21st century toward recovering this universal selection pressure. Then, the paper argues that proteome cost minimization is the dominant, underlying 'non-function' selection pressure controlling most of the evolution of already functionally adapted living systems. A theory of proteome cost minimization is described and argued to have consequences for understanding evolutionary trade-offs, aging, cancer, and neurodegenerative protein-misfolding diseases.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom