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Evolution of New Traits in Microbes

Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
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Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat
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Published on: September 20, 2016

Adapting granular materials through artificial evolution.

Marc Z Miskin1, Heinrich M Jaeger

  • 1James Franck Institute and Department of Physics, The University of Chicago, Chicago, Illinois 60637, USA.

Nature Materials
|January 22, 2013
PubMed
Summary
This summary is machine-generated.

Scientists used artificial evolution to explore how particle shape affects granular materials. This method efficiently links particle geometry to mechanical properties like stiffness, enabling the design of novel materials.

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Area of Science:

  • Physics
  • Materials Science
  • Engineering

Background:

  • The relationship between granular material mechanical response and particle shape remains poorly understood.
  • Particle shape is a complex, high-dimensional parameter, hindering systematic study.

Purpose of the Study:

  • To develop an efficient method for exploring the role of particle shape in granular materials.
  • To establish a link between particle geometry and mechanical properties like packing stiffness.

Main Methods:

  • Utilized artificial evolution principles to explore particle shape parameters.
  • Employed computer simulations to evolve particle shapes.
  • Verified findings through three-dimensional printing of designed particles.

Main Results:

  • Identified specific particle shapes that correlate with packing stiffness.
  • Discovered particle designs that enhance aggregate stiffness under compression.
  • Demonstrated the practical application of evolved shapes through physical verification.

Conclusions:

  • Artificial evolution provides an efficient framework for investigating particle shape effects in granular systems.
  • This approach facilitates the discovery and design of granular matter with tailored mechanical properties.