Transcriptome resilience predicts thermotolerance in Caenorhabditis elegans

Area of Science:

• Genomics
• Stress Biology
• Nematology

Background:

• Stress can have lasting, potentially lethal effects beyond the stress period.
• Thermotolerance, the ability to withstand extreme temperatures, depends on both stress response and recovery.
• Predicting thermal tolerance remains a significant challenge in stress biology.

Purpose of the Study:

• To measure transcriptional resilience to heat stress in Caenorhabditis elegans.
• To develop a method for predicting thermotolerance using gene expression profiles.
• To understand the link between transcriptional dynamics during recovery and long-term survival.

Main Methods:

• Utilized genome-wide gene expression profiling in Caenorhabditis elegans under control, heat stress, and recovery conditions.
• Applied principal component analysis to high-resolution time-series data to infer a quantitative scale for transcriptome dynamics.
• Defined and measured transcriptional resilience as the ability to revert from stress-induced gene expression patterns during recovery.

Main Results:

• Developed a quantitative scale for transcriptome dynamics, representing transcriptional resilience.
• Demonstrated that this transcriptional resilience parameter, measured after heat stress, is quantitatively linked to long-term survival.
• Validated findings across diverse Caenorhabditis elegans genotypes, confirming the robustness of the parameter.

Conclusions:

• Thermotolerance is an intrinsic property predictable by transcriptional resilience.
• Transcriptional resilience parameters can forecast the long-term outcome of stress exposure.
• This approach may aid in evaluating rehabilitation strategies for higher organisms after various stresses.