The activity reaction core and plasticity of metabolic networks.

Almaas, Eivind and Oltvai, Zoltán N and Barabási, Albert-László (2005) The activity reaction core and plasticity of metabolic networks. PLoS Comput Biol, 1 (7). e68 - ?.

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Abstract

Understanding the system-level adaptive changes taking place in an organism in response to variations in the environment is a key issue of contemporary biology. Current modeling approaches, such as constraint-based flux-balance analysis, have proved highly successful in analyzing the capabilities of cellular metabolism, including its capacity to predict deletion phenotypes, the ability to calculate the relative flux values of metabolic reactions, and the capability to identify properties of optimal growth states. Here, we use flux-balance analysis to thoroughly assess the activity of Escherichia coli, Helicobacter pylori, and Saccharomyces cerevisiae metabolism in 30,000 diverse simulated environments. We identify a set of metabolic reactions forming a connected metabolic core that carry non-zero fluxes under all growth conditions, and whose flux variations are highly correlated. Furthermore, we find that the enzymes catalyzing the core reactions display a considerably higher fraction of phenotypic essentiality and evolutionary conservation than those catalyzing noncore reactions. Cellular metabolism is characterized by a large number of species-specific conditionally active reactions organized around an evolutionary conserved, but always active, metabolic core. Finally, we find that most current antibiotics interfering with bacterial metabolism target the core enzymes, indicating that our findings may have important implications for antimicrobial drug-target discovery.

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Details

Item Type:	Article
Status:	Published
Creators/Authors:	Creators Email Pitt Username ORCID Almaas, Eivind Oltvai, Zoltán N oltvai@pitt.edu OLTVAI Barabási, Albert-László
Contributors:	Contribution Contributors Name Email Pitt Username ORCID Editor Segre, Daniel UNSPECIFIED UNSPECIFIED UNSPECIFIED
Date:	2 November 2005
Date Type:	Acceptance
Journal or Publication Title:	PLoS Comput Biol
Volume:	1
Number:	7
Page Range:	e68 - ?
DOI or Unique Handle:	10.1371/journal.pcbi.0010068
Refereed:	Yes
Uncontrolled Keywords:	Escherichia coli, Helicobacter pylori, Models, Biological, Saccharomyces cerevisiae
PubMed ID:	16362071
Date Deposited:	11 Jul 2012 18:03
Last Modified:	25 Oct 2017 03:55
URI:	http://d-scholarship.pitt.edu/id/eprint/12844

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