Literature DB >> 21370961

In silico evolution of early metabolism.

Alexander Ullrich1, Markus Rohrschneider, Gerik Scheuermann, Peter F Stadler, Christoph Flamm.   

Abstract

We developed a simulation tool for investigating the evolution of early metabolism, allowing us to speculate on the formation of metabolic pathways from catalyzed chemical reactions and on the development of their characteristic properties. Our model consists of a protocellular entity with a simple RNA-based genetic system and an evolving metabolism of catalytically active ribozymes that manipulate a rich underlying chemistry. Ensuring an almost open-ended and fairly realistic simulation is crucial for understanding the first steps in metabolic evolution. We show here how our simulation tool can be helpful in arguing for or against hypotheses on the evolution of metabolic pathways. We demonstrate that seemingly mutually exclusive hypotheses may well be compatible when we take into account that different processes dominate different phases in the evolution of a metabolic system. Our results suggest that forward evolution shapes metabolic network in the very early steps of evolution. In later and more complex stages, enzyme recruitment supersedes forward evolution, keeping a core set of pathways from the early phase.

Mesh:

Year:  2011        PMID: 21370961     DOI: 10.1162/artl_a_00021

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  4 in total

1.  Early evolution of efficient enzymes and genome organization.

Authors:  András Szilágyi; Adám Kun; Eörs Szathmáry
Journal:  Biol Direct       Date:  2012-10-31       Impact factor: 4.540

2.  Increments and duplication events of enzymes and transcription factors influence metabolic and regulatory diversity in prokaryotes.

Authors:  Mario Alberto Martínez-Núñez; Augusto Cesar Poot-Hernandez; Katya Rodríguez-Vázquez; Ernesto Perez-Rueda
Journal:  PLoS One       Date:  2013-07-29       Impact factor: 3.240

3.  Beyond the Hypercube: Evolutionary Accessibility of Fitness Landscapes with Realistic Mutational Networks.

Authors:  Marcin Zagorski; Zdzislaw Burda; Bartlomiej Waclaw
Journal:  PLoS Comput Biol       Date:  2016-12-09       Impact factor: 4.475

4.  Lower glycolysis carries a higher flux than any biochemically possible alternative.

Authors:  Steven J Court; Bartlomiej Waclaw; Rosalind J Allen
Journal:  Nat Commun       Date:  2015-09-29       Impact factor: 14.919

  4 in total

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