Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types

Ke Chen, Amitesh Anand, Connor Olson, Troy E. Sandberg, Ye Gao, Nathan Mih, Bernhard O. Palsson, Costas D. Maranas
2021 PLoS Computational Biology  
The fitness landscape is a concept commonly used to describe evolution towards optimal phenotypes. It can be reduced to mechanistic detail using genome-scale models (GEMs) from systems biology. We use recently developed GEMs of Metabolism and protein Expression (ME-models) to study the distribution of Escherichia coli phenotypes on the rate-yield plane. We found that the measured phenotypes distribute non-uniformly to form a highly stratified fitness landscape. Systems analysis of ME-model
more » ... ations suggest that this stratification results from discrete ATP generation strategies. Accordingly, we define "aero-types", a phenotypic trait that characterizes how a balanced proteome can achieve a given growth rate by modulating 1) the relative utilization of oxidative phosphorylation, glycolysis, and fermentation pathways; and 2) the differential employment of electron-transport-chain enzymes. This global, quantitative, and mechanistic systems biology interpretation of fitness landscape formed upon proteome allocation offers a fundamental understanding of bacterial physiology and evolution dynamics.
doi:10.1371/journal.pcbi.1008596 pmid:33465077 fatcat:r2sp7ecxjrbf3jbgb3ghpsrspa