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Evolutionary Systems Biology

Overview of attention for book
Cover of 'Evolutionary Systems Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Evolutionary Systems Biology: Historical and Philosophical Perspectives on an Emerging Synthesis
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    Chapter 2 Metabolic networks and their evolution.
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    Chapter 3 Evolutionary Systems Biology
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    Chapter 4 Evolution of regulatory networks: nematode vulva induction as an example of developmental systems drift.
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    Chapter 5 Life's Attractors : Understanding Developmental Systems Through Reverse Engineering and In Silico Evolution.
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    Chapter 6 Evolutionary characteristics of bacterial two-component systems.
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    Chapter 7 Comparative interaction networks: bridging genotype to phenotype.
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    Chapter 8 Evolution In Silico: From Network Structure to Bifurcation Theory
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    Chapter 9 On the search for design principles in biological systems.
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    Chapter 10 Toward a theory of multilevel evolution: long-term information integration shapes the mutational landscape and enhances evolvability.
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    Chapter 11 Evolutionary Principles Underlying Structure and Response Dynamics of Cellular Networks
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    Chapter 12 Phenotypic plasticity and robustness: evolutionary stability theory, gene expression dynamics model, and laboratory experiments.
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    Chapter 13 Genetic redundancies and their evolutionary maintenance.
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    Chapter 14 Evolution of Resource and Energy Management in Biologically Realistic Gene Regulatory Network Models
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    Chapter 15 Reverse ecology: from systems to environments and back.
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    Chapter 16 Bacteria-virus coevolution.
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    Chapter 17 The genotype-phenotype maps of systems biology and quantitative genetics: distinct and complementary.
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    Chapter 18 How evolutionary systems biology will help understand adaptive landscapes and distributions of mutational effects.
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    Chapter 19 Building Synthetic Systems to Learn Nature's Design Principles.
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    Chapter 20 The robustness continuum.
Attention for Chapter 2: Metabolic networks and their evolution.
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Chapter title
Metabolic networks and their evolution.
Chapter number 2
Book title
Evolutionary Systems Biology
Published in
Advances in experimental medicine and biology, June 2012
DOI 10.1007/978-1-4614-3567-9_2
Pubmed ID
Book ISBNs
978-1-4614-3566-2, 978-1-4614-3567-9

Wagner A, Andreas Wagner


Orkun S. Soyer


Since the last decade of the twentieth century, systems biology has gained the ability to study the structure and function of genome-scale metabolic networks. These are systems of hundreds to thousands of chemical reactions that sustain life. Most of these reactions are catalyzed by enzymes which are encoded by genes. A metabolic network extracts chemical elements and energy from the environment, and converts them into forms that the organism can use. The function of a whole metabolic network constrains evolutionary changes in its parts. I will discuss here three classes of such changes, and how they are constrained by the function of the whole. These are the accumulation of amino acid changes in enzyme-coding genes, duplication of enzyme-coding genes, and changes in the regulation of enzymes. Conversely, evolutionary change in network parts can alter the function of the whole network. I will discuss here two such changes, namely the elimination of reactions from a metabolic network through loss of function mutations in enzyme-coding genes, and the addition of metabolic reactions, for example through mechanisms such as horizontal gene transfer. Reaction addition also provides a window into the evolution of metabolic innovations, the ability of a metabolism to sustain life on new sources of energy and of chemical elements.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Germany 1 2%
Iran, Islamic Republic of 1 2%
Mexico 1 2%
United States 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 36%
Researcher 11 26%
Professor > Associate Professor 4 10%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 6 14%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 52%
Biochemistry, Genetics and Molecular Biology 4 10%
Computer Science 3 7%
Physics and Astronomy 3 7%
Mathematics 2 5%
Other 4 10%
Unknown 4 10%

Attention Score in Context

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