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Updated: Dec 23, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Null hypotheses for developmental evolution.
Samuel H Church1, Cassandra G Extavour1,2
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA church@g.harvard.edu extavour@oeb.harvard.edu.
Developmental biologists can define a null hypothesis for developmental evolution by analyzing extensive data across the tree of life. This approach challenges assumptions of rare change and increasing complexity in evolution.
Area of Science:
- Developmental Biology
- Evolutionary Biology
- Genomics
Background:
- Understanding the rate of evolutionary change in developmental processes is crucial.
- Previous assumptions about developmental evolution were based on limited data.
- The concept of a null hypothesis for developmental evolution is underdeveloped.
Purpose of the Study:
- To propose the definition of a null hypothesis for developmental evolution.
- To leverage current extensive developmental data for evolutionary insights.
- To re-evaluate prior assumptions regarding the rarity of developmental change.
Main Methods:
- Analysis of a large, diverse dataset of developmental biology information.
- Comparative analysis of developmental traits across the tree of life.
- Re-examination of existing evolutionary and developmental biology paradigms.
Main Results:
- Developmental biologists are well-positioned to establish a null hypothesis for developmental evolution.
- Unprecedented access to developmental data allows for deeper evolutionary analysis.
- Challenging the assumption that developmental change is rare is necessary.
Conclusions:
- A robust null hypothesis for developmental evolution can be formulated using current data.
- This framework will refine our understanding of evolutionary processes.
- It is essential to move beyond outdated assumptions about evolutionary optimization and complexity.
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