气候变化领域集成服务门户(CCPortal): Yeast optimizes metal utilization based on metabolic network and enzyme kinetics

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DOI	10.1073/pnas.2020154118
	Yeast optimizes metal utilization based on metabolic network and enzyme kinetics
	Chen Y.; Li F.; Mao J.; Chen Y.; Nielsen J.
发表日期	2021
ISSN	00278424
卷号	118 期号:12
英文摘要	Metal ions are vital to metabolism, as they can act as cofactors on enzymes and thus modulate individual enzymatic reactions. Although many enzymes have been reported to interact with metal ions, the quantitative relationships between metal ions and metabolism are lacking. Here, we reconstructed a genome-scale metabolic model of the yeast Saccharomyces cerevisiae to account for proteome constraints and enzyme cofactors such as metal ions, named CofactorYeast. The model is able to estimate abundances of metal ions binding on enzymes in cells under various conditions, which are comparable to measured metal ion contents in biomass. In addition, the model predicts distinct metabolic flux distributions in response to reduced levels of various metal ions in the medium. Specifically, the model reproduces changes upon iron deficiency in metabolic and gene expression levels, which could be interpreted by optimization principles (i.e., yeast optimizes iron utilization based on metabolic network and enzyme kinetics rather than preferentially targeting iron to specific enzymes or pathways). At last, we show the potential of using the model for understanding cell factories that harbor heterologous iron-containing enzymes to synthesize high-value compounds such as p-coumaric acid. Overall, the model demonstrates the dependence of enzymes on metal ions and links metal ions to metabolism on a genome scale. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Constraint-based model; Metabolic engineering; Proteome constraint; Resource allocation; Saccharomyces cerevisiae
语种	英语
scopus关键词	metal ion; para coumaric acid; proteome; Article; biomass; controlled study; enzyme binding; enzyme kinetics; fungal cell; gene expression; iron deficiency; metabolic engineering; metabolic flux analysis; metal metabolism; nonhuman; population abundance; prediction; priority journal; process optimization; protein synthesis; Saccharomyces cerevisiae
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180191
作者单位	Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, SE412 96, Sweden; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, DK2800, Denmark; BioInnovation Institute, Copenhagen N, DK2200, Denmark
推荐引用方式 GB/T 7714	Chen Y.,Li F.,Mao J.,et al. Yeast optimizes metal utilization based on metabolic network and enzyme kinetics[J],2021,118(12).
APA	Chen Y.,Li F.,Mao J.,Chen Y.,&Nielsen J..(2021).Yeast optimizes metal utilization based on metabolic network and enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America,118(12).
MLA	Chen Y.,et al."Yeast optimizes metal utilization based on metabolic network and enzyme kinetics".Proceedings of the National Academy of Sciences of the United States of America 118.12(2021).