Genes under weaker stabilizing selection increase network evolvability and rapid regulatory adaptation to an...

Area of Science:

• Evolutionary biology
• Systems biology
• Genetics

Background:

• Regulatory networks are crucial for gene expression, cellular differentiation, and phenotype development.
• These networks can influence the pace and direction of evolutionary adaptation in gene expression levels.

Purpose of the Study:

• To model the adaptation of regulatory networks and gene expression to environmental shifts.
• To investigate how natural selection acts on regulatory networks, affecting gene expression evolution.
• To examine the impact of variable stabilizing selection on network interactions and adaptation.

Main Methods:

• Computational modeling of regulatory network adaptation.
• Analysis of gene expression evolution under altered environmental conditions.
• Examination of selection pressures (stabilizing and directional) on network components.

Main Results:

• Regulatory networks exhibit signatures of selection that can both constrain and facilitate gene expression evolution.
• Adaptation of a constrained gene is more efficient when interacting genes face relaxed selection.
• Optimal adaptation may involve a balance of genes under weak and strong stabilizing selection.

Conclusions:

• Variable stabilizing selection across genes is a key factor in regulatory network adaptation.
• This variability can contribute to the long-term adaptation of complex phenotypes.
• Understanding these dynamics is crucial for inferring network evolution and adaptation.