Combining information from ancestors and personal experiences to predict individual differences in developmental...

Area of Science:

• Behavioral biology
• Developmental psychology
• Genetics

Background:

• Understanding how inherited information and individual experiences interact to shape developmental trajectories of phenotypic traits is a persistent question in biology.
• Existing models often struggle to integrate genetic, epigenetic, and environmental influences across an individual's lifespan.

Purpose of the Study:

• To develop and test a mathematical model explaining individual differences in behavioral developmental trajectories.
• To investigate how ancestral information (genes, epigenes, maternal effects) and personal experiences integrate over ontogeny.

Main Methods:

• A novel model is proposed based on two core assumptions: initial behavioral differences stem from ancestral information, and this information is updated via Bayesian processes with personal experiences.
• The model predicts relationships between neonatal behavior and subsequent developmental trajectories under uniform environmental conditions.

Main Results:

• The model's predictions align with existing data, such as increased temporal stability of personality with age.
• It predicts negative correlations between intercepts and slopes of boldness developmental trajectories in safe environments.

Conclusions:

• The findings support a Bayesian updating framework for combining ancestral and experiential information in development.
• The model provides testable predictions for future research on nonadditive, Bayesian-like developmental processes.