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Mitochondrial mismatch analysis is insensitive to the mutational process

A R Rogers1, A E Fraley, M J Bamshad

  • 1Department of Anthropology, University of Utah, Salt Lake City 84112, USA. rogers@anthro.utah.edu

Molecular Biology and Evolution
|September 1, 1996
PubMed
Summary
This summary is machine-generated.

Mismatch distributions are robust even when the infinite sites assumption is violated. Confidence regions for population history are largely unaffected by finite sites or varying mutation rates, validating common analytical methods.

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Area of Science:

  • Population genetics
  • Molecular evolution
  • Bioinformatics

Background:

  • Mismatch distributions analyze nucleotide differences within samples.
  • They test population size, subdivision history, and selection.
  • Previous models assumed the infinite sites model.

Purpose of the Study:

  • To assess the robustness of the infinite sites model.
  • To evaluate the impact of finite sites and mutation rate variation.
  • To test hypotheses about mismatch waves in structured populations.

Main Methods:

  • Comparing confidence regions from infinite and finite sites models.
  • Analyzing the effect of gamma-distributed mutation rates.
  • Evaluating mismatch wave generation in structured populations.

Main Results:

  • Infinite and finite sites models yield similar confidence regions.
  • Gamma-distributed mutation rates minimally impact results within plausible ranges.
  • Mismatch waves are not explained by pooling data from structured populations.

Conclusions:

  • The infinite sites model is robust to violations of its core assumption.
  • Standard methods for analyzing mismatch distributions are reliable.
  • Population structure does not generate mismatch waves through data pooling.