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PMID: 18266464 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Validation Study

Computational and experimental analysis of redundancy in the central metabolism of Geobacter sulfurreducens.

PLoS computational biology ·Vol. 4 ·No. 2 ·2008-02-00 ·Pages e36

Segura D, Mahadevan R, Juárez K, Lovley DR

Abstract

Previous model-based analysis of the metabolic network of Geobacter sulfurreducens suggested the existence of several redundant pathways. Here, we identified eight sets of redundant pathways that included redundancy for the assimilation of acetate, and for the conversion of pyruvate into acetyl-CoA. These equivalent pathways and two other sub-optimal pathways were studied using 5 single-gene deletion mutants in those pathways for the evaluation of the predictive capacity of the model. The growth phenotypes of these mutants were studied under 12 different conditions of electron donor and acceptor availability. The comparison of the model predictions with the resulting experimental phenotypes indicated that pyruvate ferredoxin oxidoreductase is the only activity able to convert pyruvate into acetyl-CoA. However, the results and the modeling showed that the two acetate activation pathways present are not only active, but needed due to the additional role of the acetyl-CoA transferase in the TCA cycle, probably reflecting the adaptation of these bacteria to acetate utilization. In other cases, the data reconciliation suggested additional capacity constraints that were confirmed with biochemical assays. The results demonstrate the need to experimentally verify the activity of key enzymes when developing in silico models of microbial physiology based on sequence-based reconstruction of metabolic networks.

MeSH Terms
Bacterial Proteins/chemistry,genetics,metabolism Base Sequence Computer Simulation Gene Expression Regulation, Bacterial/physiology Geobacter/genetics,metabolism Models, Biological Molecular Sequence Data Multienzyme Complexes/genetics,metabolism Signal Transduction/physiology
Chemicals
Bacterial Proteins Multienzyme Complexes
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Segura Daniel
Department of Microbiology, University of Massachusetts, Amherst, Massachusetts, USA.
Mahadevan Radhakrishnan
Juárez Katy
Lovley Derek R
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Article Info
Journal
PLoS computational biology
Abbr.
PLoS Comput Biol
ISSN
1553-7358
Published
2008-02-00
Pages
e36
Language
English
Region
United States
NLM ID
101238922
PMCID
PMC2233667
Subset
IM
Databases
GENBANK
AAR33432, AAR33509, AAR33822, AAR34840, AAR36078, AAR36775
Corrections
ErratumIn
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