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

被引:72
作者
Segura, Daniel [4 ,5 ]
Mahadevan, Radhakrishnan [1 ,2 ]
Juarez, Katy [3 ,4 ]
Lovley, Derek R. [4 ]
机构
[1] Univ Toronto, Dept Chem Engn & Appl Chem, Toronto, ON, Canada
[2] Univ Toronto, Inst Biomat & Biomed Engn, Toronto, ON, Canada
[3] Univ Nacl Autonoma Mexico, Dept Ingn Celular & Biocatalisis, Inst Biotecnol, Cuernavaca 62191, Morelos, Mexico
[4] Univ Massachusetts, Dept Microbiol, Amherst, MA 01003 USA
[5] Univ Nacl Autonoma Mexico, Dept Mol Microbiol, Inst Biotecnol, Cuernavaca 62191, Morelos, Mexico
关键词
D O I
10.1371/journal.pcbi.0040036
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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 acetylCoA. 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.
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页数:12
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