Predicting gene function from uncontrolled expression variation among individual wild-type Arabidopsis plants

Area of Science:

• Plant molecular biology
• Systems biology
• Genomics

Background:

• Gene expression profiling typically uses pooled samples under strict conditions to reduce variability.
• Harsh experimental treatments are often employed, which may not reflect natural plant environments.

Purpose of the Study:

• To demonstrate that natural variations in gene expression among individual plants contain valuable information about gene networks.
• To advocate for using subtle, uncontrolled expression variations to discover gene functions and regulatory relationships.

Main Methods:

• Analyzing gene expression profiles of individual wild-type Arabidopsis thaliana plants grown under identical macroscopic conditions.
• Comparing the information content of natural expression variations with that of pooled samples under experimental perturbations.

Main Results:

• Expression variations among individual plants hold significant information about gene network structure, comparable to pooled samples under perturbation.
• This method successfully identified ILL6 as a novel regulatory component of the jasmonate response pathway.

Conclusions:

• Uncontrolled, subtle variations in gene expression between individual plants are a rich source of information for understanding gene networks.
• This approach offers a more biologically relevant method for uncovering functional gene links and regulatory influences in plants.