| Literature DB >> 31270234 |
Laurence Yang1, Nathan Mih2,3, Amitesh Anand4, Joon Ho Park2, Justin Tan4, James T Yurkovich4,3, Jonathan M Monk4, Colton J Lloyd4, Troy E Sandberg4, Sang Woo Seo4, Donghyuk Kim4, Anand V Sastry4, Patrick Phaneuf3, Ye Gao5, Jared T Broddrick5, Ke Chen4, David Heckmann4, Richard Szubin4, Ying Hefner4, Adam M Feist4,6, Bernhard O Palsson1,6,7.
Abstract
Catalysis using iron-sulfur clusters and transition metals can be traced back to the last universal common ancestor. The damage to metalloproteins caused by reactive oxygen species (ROS) can prevent cell growth and survival when unmanaged, thus eliciting an essential stress response that is universal and fundamental in biology. Here we develop a computable multiscale description of the ROS stress response in Escherichia coli, called OxidizeME. We use OxidizeME to explain four key responses to oxidative stress: 1) ROS-induced auxotrophy for branched-chain, aromatic, and sulfurous amino acids; 2) nutrient-dependent sensitivity of growth rate to ROS; 3) ROS-specific differential gene expression separate from global growth-associated differential expression; and 4) coordinated expression of iron-sulfur cluster (ISC) and sulfur assimilation (SUF) systems for iron-sulfur cluster biosynthesis. These results show that we can now develop fundamental and quantitative genotype-phenotype relationships for stress responses on a genome-wide basis.Entities:
Keywords: genome-scale model; metabolism; oxidative stress; protein expression; reactive oxygen species
Year: 2019 PMID: 31270234 PMCID: PMC6628673 DOI: 10.1073/pnas.1905039116
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205