Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Transduction01:16

Transduction

144
Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome...
144
Speciation Rates01:07

Speciation Rates

21.4K
Overview
21.4K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

427
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
427
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

2.9K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
2.9K
Evolutionary Psychology01:20

Evolutionary Psychology

448
Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
448
What is Natural Selection?01:32

What is Natural Selection?

119.1K
Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
119.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Biomechanics of the Attachment of the Intertidal Seaweed <i>Fucus distichus</i>.

Integrative organismal biology (Oxford, England)·2026
Same author

Beyond the bilayer: multilayered hygroscopic actuation in pine cone scales.

Beilstein journal of nanotechnology·2025
Same author

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves.

Advanced biology·2025
Same author

Within and Between-Leg Oil Transfer in an Oil Bee.

Integrative organismal biology (Oxford, England)·2025
Same author

First Steps of Transferring Animal Strides to a Biomimetic Soft Walker.

Integrative and comparative biology·2025
Same author

Starting strong: development and biomechanics of the seedling-host interaction in European mistletoe (Viscum album).

Journal of experimental botany·2025
Same journal

Multiphysics Investigation on Thermal Characteristics of Internal Bio-Inspired V-Ribbed Cooling Channels for Outer Rotor PMSM.

Biomimetics (Basel, Switzerland)·2026
Same journal

Smart Logistics Model for Supply Chain Management via Brain-Inspired Geometric Deep Networks.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Systematic Taxonomy of the Sunflower Optimization Algorithm: Variants, Hybridization Strategies, Applications, and Research Directions.

Biomimetics (Basel, Switzerland)·2026
Same journal

Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness.

Biomimetics (Basel, Switzerland)·2026
Same journal

Empirical Logic for Bio-Inspired Soft Computing: Illustrative Applications in Control Engineering and Cluster Analysis.

Biomimetics (Basel, Switzerland)·2026
Same journal

A Modified Multi-Strategy Dhole Optimization Algorithm and Its Engineering Applications.

Biomimetics (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 18, 2025

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.2K

Transition Processes in Technological Systems: Inspiration from Processes in Biological Evolution.

Martin Möller1,2, Olga Speck1,3, Harishankar Thekkepat1,3

  • 1Cluster of Excellence livMatS @ FIT-Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Georges-Köhler-Allee 105, 79110 Freiburg, Germany.

Biomimetics (Basel, Switzerland)
|June 25, 2025
PubMed
Summary
This summary is machine-generated.

Biological evolution offers insights for managing technological transitions. By comparing evolutionary principles to technology development, we can create more sustainable solutions for environmental challenges like the energy transition.

Keywords:
MLP (Multi-Level Perspective)energy transitionexnovationfitnessgenerationinnovationnichepath dependencypopulationselection

More Related Videos

Author Spotlight: Advancing Protein Engineering &#8211; Harnessing Evolution Through PRANCE and Lab Automation
05:08

Author Spotlight: Advancing Protein Engineering – Harnessing Evolution Through PRANCE and Lab Automation

Published on: January 12, 2024

1.8K
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

3.5K

Related Experiment Videos

Last Updated: Sep 18, 2025

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER
07:26

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Published on: May 19, 2019

12.2K
Author Spotlight: Advancing Protein Engineering &#8211; Harnessing Evolution Through PRANCE and Lab Automation
05:08

Author Spotlight: Advancing Protein Engineering – Harnessing Evolution Through PRANCE and Lab Automation

Published on: January 12, 2024

1.8K
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

3.5K

Area of Science:

  • Evolutionary Biology
  • Technological Innovation
  • Sustainability Science

Background:

  • Intensifying environmental challenges necessitate effective management of transition processes.
  • Biological evolution demonstrates successful adaptation and thriving under changing conditions.

Purpose of the Study:

  • To identify analogies between biological evolution and technological transitions.
  • To derive actionable guidance for sustainable technology management and development.

Main Methods:

  • Comparative analysis of biological evolution principles and technological transition models (Multi-Level Perceptive, path dependency).
  • Examination of generation-based vs. version-based development, variety dynamics, and fitness-consistency parallels.

Main Results:

  • Identified comparable principles in biological evolution and technological transitions, despite differing time scales.
  • Found similarities in variety dynamics and the concepts of fitness and consistency.
  • Extracted key lessons from biology: experimentation, continuous adaptation, and retaining older versions.

Conclusions:

  • Understanding biological evolution aids in managing technology transitions for sustainability.
  • Derived indicators can assess and monitor technology transitions effectively.
  • Provides guidance for developing sustainable technological solutions for major transitions, including energy.