Literature DB >> 34039963

The quantitative metabolome is shaped by abiotic constraints.

Amir Akbari1, James T Yurkovich2,3, Daniel C Zielinski2, Bernhard O Palsson4,5.   

Abstract

Living systems formed and evolved under constraints that govern their interactions with the inorganic world. These interactions are definable using basic physico-chemical principles. Here, we formulate a comprehensive set of ten governing abiotic constraints that define possible quantitative metabolomes. We apply these constraints to a metabolic network of Escherichia coli that represents 90% of its metabolome. We show that the quantitative metabolomes allowed by the abiotic constraints are consistent with metabolomic and isotope-labeling data. We find that: (i) abiotic constraints drive the evolution of high-affinity phosphate transporters; (ii) Charge-, hydrogen- and magnesium-related constraints underlie transcriptional regulatory responses to osmotic stress; and (iii) hydrogen-ion and charge imbalance underlie transcriptional regulatory responses to acid stress. Thus, quantifying the constraints that the inorganic world imposes on living systems provides insights into their key characteristics, helps understand the outcomes of evolutionary adaptation, and should be considered as a fundamental part of theoretical biology and for understanding the constraints on evolution.

Entities:  

Year:  2021        PMID: 34039963     DOI: 10.1038/s41467-021-23214-9

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  37 in total

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Authors:  Markus W Covert; Eric M Knight; Jennifer L Reed; Markus J Herrgard; Bernhard O Palsson
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Review 2.  Robustness of cellular functions.

Authors:  Jörg Stelling; Uwe Sauer; Zoltan Szallasi; Francis J Doyle; John Doyle
Journal:  Cell       Date:  2004-09-17       Impact factor: 41.582

3.  Thermodynamics-based metabolic flux analysis.

Authors:  Christopher S Henry; Linda J Broadbelt; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2006-12-15       Impact factor: 4.033

Review 4.  The biomass objective function.

Authors:  Adam M Feist; Bernhard O Palsson
Journal:  Curr Opin Microbiol       Date:  2010-04-27       Impact factor: 7.934

5.  Pseudo-transition Analysis Identifies the Key Regulators of Dynamic Metabolic Adaptations from Steady-State Data.

Authors:  Luca Gerosa; Bart R B Haverkorn van Rijsewijk; Dimitris Christodoulou; Karl Kochanowski; Thomas S B Schmidt; Elad Noor; Uwe Sauer
Journal:  Cell Syst       Date:  2015-10-22       Impact factor: 10.304

6.  What is flux balance analysis?

Authors:  Jeffrey D Orth; Ines Thiele; Bernhard Ø Palsson
Journal:  Nat Biotechnol       Date:  2010-03       Impact factor: 54.908

7.  Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli.

Authors:  Bryson D Bennett; Elizabeth H Kimball; Melissa Gao; Robin Osterhout; Stephen J Van Dien; Joshua D Rabinowitz
Journal:  Nat Chem Biol       Date:  2009-06-28       Impact factor: 15.040

8.  Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data.

Authors:  Anne Kümmel; Sven Panke; Matthias Heinemann
Journal:  Mol Syst Biol       Date:  2006-06-20       Impact factor: 11.429

9.  A universal trade-off between growth and lag in fluctuating environments.

Authors:  Markus Basan; Tomoya Honda; Dimitris Christodoulou; Manuel Hörl; Yu-Fang Chang; Emanuele Leoncini; Avik Mukherjee; Hiroyuki Okano; Brian R Taylor; Josh M Silverman; Carlos Sanchez; James R Williamson; Johan Paulsson; Terence Hwa; Uwe Sauer
Journal:  Nature       Date:  2020-07-15       Impact factor: 49.962

10.  Evolution of complex modular biological networks.

Authors:  Arend Hintze; Christoph Adami
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

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  4 in total

1.  Thermodynamic constraints on the assembly and diversity of microbial ecosystems are different near to and far from equilibrium.

Authors:  Jacob Cook; Samraat Pawar; Robert G Endres
Journal:  PLoS Comput Biol       Date:  2021-12-03       Impact factor: 4.475

2.  The hidden simplicity of metabolic networks is revealed by multireaction dependencies.

Authors:  Anika Küken; Damoun Langary; Zoran Nikoloski
Journal:  Sci Adv       Date:  2022-03-30       Impact factor: 14.136

3.  A Central Role for Magnesium Homeostasis during Adaptation to Osmotic Stress.

Authors:  Brian M Wendel; Hualiang Pi; Larissa Krüger; Christina Herzberg; Jörg Stülke; John D Helmann
Journal:  mBio       Date:  2022-02-15       Impact factor: 7.867

4.  Positively charged mineral surfaces promoted the accumulation of organic intermediates at the origin of metabolism.

Authors:  Amir Akbari; Bernhard O Palsson
Journal:  PLoS Comput Biol       Date:  2022-08-17       Impact factor: 4.779

  4 in total

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