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Somatic mutations in organisms with complex life histories
1Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS 66045-7534, USA.
Theoretical Population Biology
|July 11, 2001
Summary
Somatic mutations can impact allele frequencies in organisms with indeterminate growth and clonal reproduction. Within-organism selection can effectively purge somatic mutation loads, preventing them from exceeding meiotic mutation effects.
Area of Science:
- Evolutionary biology
- Theoretical biology
- Genetics
Background:
- Organisms with indeterminate growth and clonal reproduction present unique challenges for understanding mutation dynamics.
- Distinguishing the fate of somatic mutations (arising during mitotic division) versus meiotic mutations (arising during meiotic division) is crucial.
Purpose of the Study:
- To develop a theoretical model for the fate of mutations in organisms with indeterminate growth and clonal reproduction.
- To compare the relative strengths of somatic and meiotic mutation under varying conditions.
- To investigate the impact of within-organism selection on somatic mutations.
Main Methods:
- Development of a theoretical model focusing on allele frequencies at gamete production.
- Analysis of mutation fate based on whether mutations arise during mitotic or meiotic cell division.
- Incorporation of empirical mutation rates and demographic data from clonal corals.
Main Results:
- Somatic mutation can alter allele frequencies rapidly, often exceeding meiotic mutation effects with few cell divisions.
- Strong negative selection against somatic mutations within an individual can effectively counteract their impact.
- Within-organism selection can purge significant mutation loads that would otherwise arise from somatic mutations.
Conclusions:
- The fate of mutations in clonal, indeterminately growing organisms is heavily influenced by the type of cell division (somatic vs. meiotic) and the presence of selection.
- Selection acting within an organism plays a critical role in managing the load of somatic mutations.
- Theoretical models are essential for predicting mutation dynamics in complex life-history strategies.