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The Use of Chemostats in Microbial Systems Biology
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Reusable building blocks in biological systems.

Victor Mireles1,2, Tim O F Conrad1

  • 11 Department of Mathematics and Computer Science, Freie Universität Berlin , Berlin, Germany.

Journal of the Royal Society, Interface
|April 9, 2019
PubMed
Summary
This summary is machine-generated.

Biological systems use reusable building blocks, but their reusability varies. This study analyzes how often these modules are reused compared to random systems, revealing insights into the evolution of modularity.

Keywords:
building blocksevolution of modularitymodularitymodule sizesnear decomposability

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Area of Science:

  • Evolutionary Biology
  • Systems Biology
  • Genomics

Background:

  • Biological systems exhibit modularity, with components acting as reusable building blocks across different conditions.
  • Understanding the reusability of these biological modules is crucial for comprehending system organization and evolution.

Purpose of the Study:

  • To quantify the reusability of phenotypic building blocks in biological systems.
  • To compare the reusability of modules in real biological systems with randomized equivalents.
  • To investigate the distribution of building block sizes and its relation to modularity evolution.

Main Methods:

  • Development of a novel framework for decomposing biological systems into overlapping phenotypic building blocks.
  • Analysis of module reuse across various conditions to maximize reusability.
  • Comparison of module reusability in actual biological systems versus randomized counterparts.

Main Results:

  • Biological building blocks show a wide range of reusability, from condition-specific to constitutive.
  • The average reusability of modules in real systems is not consistently higher than in randomized systems.
  • Decompositions reveal a distinct distribution of building block sizes in biological systems.

Conclusions:

  • The reusability patterns and distinct size distribution of building blocks offer new perspectives on the evolution of biological modularity.
  • The peculiar usage patterns of biological system elements contribute to this observed distribution.
  • This work provides a novel framework for studying modularity and its evolutionary implications.