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

Natural Selection and Mating Preferences01:06

Natural Selection and Mating Preferences

110
The principle of natural selection posits that organisms better adapted to their environment are more likely to survive and reproduce. This principle is closely intertwined with mating preferences, a key aspect of sexual selection, which evolutionary psychologists believe is driven by instincts to propagate one's genes. Such instincts significantly influence mating behaviors and preferences between genders.
Females, due to their biological roles in conception, pregnancy, and nursing,...
110
Types of Selection01:46

Types of Selection

40.5K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
40.5K
Evolutionary Psychology01:20

Evolutionary Psychology

282
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...
282
Limits to Natural Selection01:38

Limits to Natural Selection

31.4K
Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
31.4K
What is Natural Selection?01:32

What is Natural Selection?

115.5K
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.
115.5K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

221
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,...
221

You might also read

Related Articles

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

Sort by
Same author

Dimensional Evolution from a Giant Molybdenum-Red Cage-like {Mo<sub>200</sub>} to 1D Chains Enabling Ultrahigh Proton Conduction.

Journal of the American Chemical Society·2026
Same author

CBR-db: A Cheminformatic Database for Biochemical Reaction Analysis.

ACS synthetic biology·2026
Same author

Chemputer and chemputation-A universal chemical compound synthesis machine.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Verification and execution of the scientific literature via chemputation augmented by large language models.

Communications chemistry·2026
Same author

Chemical programming of kinase inhibitors in a modular chemputer-based system.

Communications biology·2026
Same author

Spontaneous assemblies of gigantic polyoxomolybdates; from structure and properties to synthetic methods.

Dalton transactions (Cambridge, England : 2003)·2026
Same journal

Retraction Note: NSD2 targeting reverses plasticity and drug resistance in prostate cancer.

Nature·2026
Same journal

Enhanced B cell priming induces broadly neutralizing HIV-1 apex antibodies.

Nature·2026
Same journal

Vaccination elicits HIV broadly neutralizing antibodies in primates.

Nature·2026
Same journal

Child online safety needs more than social-media bans.

Nature·2026
Same journal

Ebola preparedness must start with ecosystems and before humans show symptoms.

Nature·2026
Same journal

AI tools can speed up thinking, but evidence still comes from the lab bench.

Nature·2026
See all related articles

Related Experiment Video

Updated: Jul 15, 2025

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

14.0K

Assembly theory explains and quantifies selection and evolution.

Abhishek Sharma1, Dániel Czégel2,3, Michael Lachmann4

  • 1School of Chemistry, University of Glasgow, Glasgow, UK.

Nature
|October 4, 2023
PubMed
Summary
This summary is machine-generated.

Assembly theory (AT) offers a new framework to understand how complex objects and life evolve from basic physics. It redefines objects by their formation history, quantifying selection and enabling novelty generation within physical laws.

Area of Science:

  • Theoretical Biology and the intersection of evolutionary dynamics with fundamental physics.
  • The application of the Assembly Theory framework to quantify selection in complex chemical systems.
  • Biophysics focusing on the emergence of open-ended novelty and causal contingency.

Background:

The fundamental challenge in modern science involves bridging the gap between biological evolution and the fixed laws governing the physical universe. Prior research has shown that while physics provides the foundation for life, these laws lack the predictive power to explain the emergence of complex biological phenomena. Traditional evolutionary models rely on selection to explain existence, yet they often fail to account for the physical constraints of matter. Existing paradigms struggle to describe how diverse, open-ended forms arise without a pre-existing design blueprint or inherent teleological direction. Scientists require a robust method to quantify the degree of selection acting upon physical entities within chemical and biological spaces. Understanding the transition from inanimate matter to living systems remains a significant hurdle for theoretical physics. This absence of evidence motivated the development of a new conceptual bridge between the immutable laws of physics and the dynamic processes of life.

Frequently Asked Questions

The framework redefines objects as entities shaped by their formation histories, allowing the Assembly (A) measure to quantify the causal contingency required for existence. This approach integrates selection into physics by mapping how history and chemical scale interactions influence the emergence of complex ensembles.

The researchers introduced the Assembly (A) measure to capture the minimal number of steps required to produce a given ensemble of objects. This quantitative tool identifies evidence of selection by evaluating the complexity and causal history inherent in the assembly of chemical structures.

Using assembly spaces allows the researchers to define objects by their possible formation histories, which reveals evidence of selection. This methodological choice enables the quantification of novelty generation and the forward dynamical process that characterizes the development of complex, open-ended biological forms.

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

998
A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

14.5K

Related Experiment Videos

Last Updated: Jul 15, 2025

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

14.0K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

998
A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

14.5K

Purpose Of The Study:

This research introduces a novel theoretical framework designed to redefine the physical nature of complex objects through their developmental pathways. The investigators sought to integrate novelty generation and selection directly into the physics of intricate entities. By conceptualizing matter within assembly spaces, the authors aimed to provide a quantitative interface between biological selection and physical laws. The study addresses the need for a metric that captures the causal history required to produce specific ensembles of objects. Researchers intended to demonstrate how history and contingency influence the existence of chemical structures. The work focuses on explaining the emergence of open-ended forms through a forward dynamical process. This approach seeks to reconcile the random nature of physical interactions with the non-random outcomes of evolutionary selection.

Main Methods:

The team developed Assembly Theory (AT) by reimagining objects as entities defined by their possible formation histories rather than point particles. They introduced a specific mathematical measure termed Assembly (A) to quantify the degree of causation necessary for object production. This metric evaluates the complexity of an ensemble by analyzing the steps required to construct its constituent parts from simpler components. The researchers utilized assembly spaces to map the combinatorial possibilities of matter at the chemical scale. By defining boundaries for individuals or selected units, the framework allows for the identification of selection evidence within physical systems. The methodology involves a forward dynamical approach that considers the sequential assembly of objects over time. This mathematical framework treats objects as historical lineages rather than static, isolated points in space.

Main Results:

Assembly Theory successfully provides a powerful interface that connects the principles of physics with the mechanisms of biological evolution. The framework demonstrates that objects can be characterized through their assembly histories, revealing evidence of selection within well-defined boundaries. Calculations using the Assembly (A) measure capture the causal contingency required to generate complex ensembles of chemical entities. The findings disclose a previously unrecognized aspect of physics emerging at the chemical scale where history influences existence. This approach allows for the quantification of selection without altering the fundamental, immutable laws of the physical universe. The results show that AT can explain the emergence of diverse, open-ended forms from basic physical precursors. These data suggest that the complexity of an object is intrinsically linked to the number of steps in its formation.

Conclusions:

The implementation of this theoretical framework offers a transformative perspective on the origin and evolution of life. These insights suggest that the development of human culture and technology can be understood through the lens of assembly spaces. Future research may utilize the Assembly (A) metric to identify biosignatures in unknown chemical environments. The study establishes a foundation for predicting how novelty arises in complex systems through selection-driven processes. By redefining matter as a product of its history, the authors provide a tool for exploring the limits of biological complexity. The integration of causal contingency into physics paves the way for a more unified theory of the natural world. This paradigm shift enables scientists to quantify the evolutionary potential of diverse physical systems.

The study limits the identification of selection evidence to well-defined boundaries of individuals or selected units within the chemical scale. The authors acknowledge that while AT explains the emergence of technology and culture, it does not alter the immutable laws of the physical universe.

The study's authors propose that Assembly Theory provides a powerful interface between physics and biology for understanding life's origin. The researchers conclude that this framework enables the quantification of selection and evolution across diverse phenomena, including the development of human culture and technology.