Molecular-level tradeoffs and metabolic adaptation to simultaneous stressors

被引：27

作者：

Carlson, Ross P. ^{[1
]}

Taffs, Reed L. ^{[1
]}

机构：

[1] Montana State Univ, Ctr Biofilm Engn, Dept Chem & Biol Engn, Bozeman, MT 59717 USA

来源：

CURRENT OPINION IN BIOTECHNOLOGY | 2010年 / 21卷 / 05期

基金：

美国国家卫生研究院;

关键词：

FLUX BALANCE ANALYSIS; ESCHERICHIA-COLI; PATHWAY ANALYSIS; GROWTH; ROBUSTNESS; MODELS; LIMITATION; NETWORKS; DISTRIBUTIONS; COMPETITION;

D O I：

10.1016/j.copbio.2010.05.011

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Life is a dynamic process driven by the complex interplay between physical constraints and selection pressures, ranging from nutrient limitation to inhibitory substances to predators. These stressors are not mutually exclusive; microbes have faced concurrent challenges for eons. Genome-enabled systems biology approaches are adapting economic and ecological concepts like tradeoff curves and strategic resource allocation theory to analyze metabolic adaptations to simultaneous stressors. These methodologies can accurately describe and predict metabolic adaptations to concurrent stresses by considering the tradeoff between investment of limiting resources into enzymatic machinery and the resulting cellular function. The approaches represent promising links between computational biology and well-established economic and ecological methodologies for analyzing the interplay between physical constraints and microbial fitness.

引用

页码：670 / 676

页数：7

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