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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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Neutral evolution of multiple quantitative characters: a genealogical approach.

Cortland K Griswold¹, Benjamin Logsdon, Richard Gomulkiewicz

¹School of Biological Sciences, Washington State University, Pullman, Washington 99164, USA.

|March 7, 2007

Summary

The G matrix reveals heritable phenotypic variation. Neutrality assumptions show how mutation, recombination, and drift, along with common ancestry, shape G matrix structure, leading to non-uniform variances in trait evolution.

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Area of Science:

Quantitative genetics
Evolutionary biology
Population genetics

Background:

The G matrix quantifies heritable phenotypic variation.
Its structure influences multivariate trait evolution direction and rate.

Purpose of the Study:

To present a framework for G matrix structure under neutrality.
To establish a neutral null expectation for G matrix structure analysis.

Main Methods:

Modeling the influence of mutation, recombination, and genetic drift.
Incorporating shared common ancestry and gene genealogies.
Analyzing principal components and associated variances of the G matrix.

Main Results:

Neutral processes including mutation, recombination, and drift shape G matrix structure.
Shared common ancestry leads to non-uniform G matrix structure, with exponentially declining variances.
Non-uniformity is amplified by lower mutation/recombination rates, fewer loci, and specific mutation patterns.

Conclusions:

A neutral G matrix expectation is crucial for detecting selection's effects.
Gene genealogy is a key factor creating non-uniformity in the G matrix.
Understanding neutral G matrix structure provides insights into evolutionary constraints and potential.