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New Publication: Environmental Effects on Complex Genetic Networks

news
publication
journal article
evolutionary genetics
phenotypic plasticity
Author

Cresko Lab

Published

May 1, 2015

Groundbreaking publication in Evolution reveals how environmental changes affect correlated responses to selection across complex genetic networks!

Kristin Sikkink, Robert Reynolds, Bill Cresko, and Patrick Phillips demonstrate that pleiotropy across stress response networks is highly sensitive to environmental conditions, highlighting the complex gene-environment interactions that influence organisms’ ability to acclimate to novel environments.

Major Findings

The research reveals: - Variable pleiotropy across environments - Complex G×E interactions in stress response networks - Environmental sensitivity of genetic correlations - Dynamic genetic architecture - Context-dependent evolutionary potential

Network Complexity

Key discoveries about: - Stress response network organization - Environmental modulation of genetic effects - Shifting patterns of pleiotropy - Genetic correlation dynamics - Evolutionary constraint variation

Evolutionary Implications

This work demonstrates: - Environmental context shapes evolutionary trajectories - Genetic architecture is not fixed - Acclimation potential varies with conditions - Natural selection effectiveness depends on environment - Complexity of adaptation to novel environments

Experimental Innovation

The study employed: - Multi-environment selection experiments - Comprehensive trait measurements - G-matrix analyses - Network-level approaches - Quantitative genetics methods

Climate Change Relevance

Findings inform: - Predictions of adaptation potential - Understanding of acclimation limits - Response to environmental variability - Evolutionary rescue possibilities - Population persistence mechanisms

Theoretical Advances

The work contributes to: - Evolutionary quantitative genetics - G×E interaction theory - Network evolution understanding - Phenotypic plasticity theory - Adaptation predictions

Stress Response Systems

Insights into: - Heat stress resistance evolution - Cross-stress correlations - Network robustness - Physiological trade-offs - System-level responses

Broader Significance

This research helps predict: - Organismal responses to environmental change - Evolutionary potential in variable environments - Limits of phenotypic plasticity - Population adaptation capacity - Conservation strategies under climate change

Read the paper →

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