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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Stress-induced mutagenesis and complex adaptation.

Yoav Ram¹, Lilach Hadany²

¹Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, Israel.

Proceedings. Biological Sciences

|August 22, 2014

Summary

This summary is machine-generated.

Stress-induced mutagenesis (SIM) enhances adaptation by increasing mutation rates during stress. This evolutionary strategy allows populations to adapt faster without sacrificing overall fitness, resolving a key theoretical trade-off.

Keywords:

adaptive peak shifts evolvability mathematical model mutation rate stress-induced variation trade-off

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Area of Science:

Evolutionary biology
Genetics
Theoretical biology

Background:

Natural selection typically favors lower mutation rates as most mutations are deleterious.
However, mutations are essential for evolutionary adaptation.
A balance between adaptability and adaptedness is theoretically required.

Purpose of the Study:

To investigate the role of stress-induced mutagenesis (SIM) in complex adaptation.
To analyze how SIM affects the evolutionary trade-off between adaptability and adaptedness.
To model asexual populations adapting across a fitness valley.

Main Methods:

Theoretical modeling of an asexual population.
Analysis of adaptation rates with and without stress-induced mutagenesis (SIM).
Comparison of population mean fitness under different mutation strategies.

Main Results:

Stress-induced mutagenesis (SIM) significantly increases the rate of complex adaptation.
SIM allows for faster adaptation without a reduction in population mean fitness.
This finding challenges the traditional evolutionary trade-off between adaptability and adaptedness.

Conclusions:

Stress-induced mutagenesis (SIM) is a viable evolutionary strategy that promotes adaptation.
SIM provides a mechanism to overcome the inherent conflict between maintaining adaptedness and achieving adaptability.
The study offers quantitative predictions for adaptation rates under varying mutational conditions.