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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Pál, Ferenc Spohn, Réka Szappanos, Balázs Pál, Csaba Ruppin, Eytan Wagner, Allon Bogos, Balázs Papp, Balázs Györkei, Ádám Notebaart, Richard A. Csörgo, Bálint Lázár, Viktória Kintses, Bálint |
| Description | Author Affiliation: Notebaart RA ( Radboud Institute for Molecular Life Sciences, Centre for Bioinformatics and Systems Biology, Radboud University Medical Centre, 6525 GA, Nijmegen, The Netherlands); Szappanos B ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Kintses B ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Pál F ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Györkei Á ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Bogos B ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Lázár V ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Spohn R ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Csörgo B ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Wagner A ( The Blavatnik School of Computer Science and.); Ruppin E ( The Blavatnik School of Computer Science andSackler School of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel.); Pál C ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); Papp B ( Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, 6726, Szeged, Hungary); |
| Abstract | A central unresolved issue in evolutionary biology is how metabolic innovations emerge. Low-level enzymatic side activities are frequent and can potentially be recruited for new biochemical functions. However, the role of such underground reactions in adaptation toward novel environments has remained largely unknown and out of reach of computational predictions, not least because these issues demand analyses at the level of the entire metabolic network. Here, we provide a comprehensive computational model of the underground metabolism in Escherichia coli. Most underground reactions are not isolated and 45% of them can be fully wired into the existing network and form novel pathways that produce key precursors for cell growth. This observation allowed us to conduct an integrated genome-wide in silico and experimental survey to characterize the evolutionary potential of E. coli to adapt to hundreds of nutrient conditions. We revealed that underground reactions allow growth in new environments when their activity is increased. We estimate that at least â ¼20% of the underground reactions that can be connected to the existing network confer a fitness advantage under specific environments. Moreover, our results demonstrate that the genetic basis of evolutionary adaptations via underground metabolism is computationally predictable. The approach used here has potential for various application areas from bioengineering to medical genetics. |
| ISSN | 00278424 |
| e-ISSN | 10916490 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Issue Number | 32 |
| Volume Number | 111 |
| Language | English |
| Publisher | National Academy of Sciences |
| Publisher Date | 2014-08-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Biological Evolution Metabolic Networks And Pathways Adaptation, Physiological Genetics Computer Simulation Enzymes Metabolism Escherichia Coli K12 Escherichia Coli Proteins Genome, Bacterial Models, Biological Phenotype Research Support, Non-U.S. Gov't Multidisciplinary |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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