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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Inclusive Fitness00:57

Inclusive Fitness

36.0K
Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help.
36.0K
Evolutionary Psychology01:20

Evolutionary Psychology

270
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...
270
The Evidence for Evolution02:55

The Evidence for Evolution

42.7K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
42.7K
Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

5.3K
5.3K
Convergent Evolution01:54

Convergent Evolution

27.7K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
27.7K

You might also read

Related Articles

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

Sort by
Same author

Accurate and robust real-time prediction of September Arctic sea ice.

Chaos (Woodbury, N.Y.)·2026
Same author

Characterizing the regulatory logic of transcriptional control at the DNA sequence level by ensembles of thermodynamic models.

Bioinformatics (Oxford, England)·2025
Same author

Two-State Stochastic Model of In Vivo Observations of Transcriptional Bursts.

Brazilian journal of physics·2025
Same author

Identifying Markov Chain Models from Time-to-Event Data: An Algebraic Approach.

Bulletin of mathematical biology·2024
Same author

Global repression by tailless during segmentation.

Developmental biology·2023
Same author

The effect of mutational robustness on the evolvability of multicellular organisms and eukaryotic cells.

Journal of evolutionary biology·2023

Related Experiment Video

Updated: Jul 5, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

Evolution of biological cooperation: an algorithmic approach.

Ivan Sudakow1, John Reinitz2, Sergey A Vakulenko3,4

  • 1School of Mathematics and Statistics, The Open University, Milton Keynes, MK7 6AA, UK. ivan.sudakow@open.ac.uk.

Scientific Reports
|January 17, 2024
PubMed
Summary

Cooperation in biological systems can overcome adaptivity barriers. Division of labor emerges as the sole viable evolutionary strategy for organisms facing numerous environmental variables.

More Related Videos

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

3.3K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.5K

Related Experiment Videos

Last Updated: Jul 5, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
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

3.3K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.5K

Area of Science:

  • Evolutionary biology
  • Theoretical biology
  • Statistical mechanics

Background:

  • Fisher's geometric model highlights the complexity cost of adapting to multiple constraints.
  • Adaptation probability decreases exponentially with the number of constraints, generalizing Fisher's findings.
  • Understanding cooperation is key to overcoming evolutionary adaptivity barriers.

Purpose of the Study:

  • To present an algorithmic approach to cooperation in biological systems.
  • To investigate how cooperation can overcome the adaptivity barrier.
  • To generalize Fisher's results on adaptation complexity.

Main Methods:

  • Utilizing combinatorial models of fitness.
  • Applying principles from statistical mechanics and probability theory.
  • Developing an algorithmic framework for biological cooperation.

Main Results:

  • The probability of adapting to multiple constraints decreases exponentially with their number.
  • Cooperation emerges as a critical factor in overcoming adaptivity limitations.
  • Division of labor is identified as the primary evolutionary strategy for adapting to numerous environmental variables.

Conclusions:

  • Cooperation provides a pathway to overcome the adaptivity barrier posed by multiple environmental constraints.
  • Division of labor is an essential evolutionary strategy for organisms adapting to complex environments.
  • This work offers a novel algorithmic perspective on the evolution of cooperation.