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Mutation, Gene Flow, and Genetic Drift

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).

What is Population Genetics?

What is Population Genetics?

A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.

Genetic Drift

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.

Gene Flow

Gene Flow

Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.

Genetics of Speciation

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.

Distributions to Estimate Population Parameter

Distributions to Estimate Population Parameter

The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...

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Updated: Jan 3, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Population Genetic Inference With MIGRATE.

Peter Beerli¹, Somayeh Mashayekhi^1,2, Marjan Sadeghi¹

¹Department of Scientific Computing, Florida State University, Tallahassee, Florida.

Current Protocols in Bioinformatics

|November 23, 2019

Summary

This summary is machine-generated.

MIGRATE software helps evolutionary biologists analyze genetic data to compare biogeographic hypotheses. This guide provides protocols for using MIGRATE to model population relationships and test evolutionary theories.

Keywords:

Bayesian inference DNA MCMC coalescent divergence time gene flow microsatellite population genetics

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Area of Science:

Evolutionary Biology
Population Genetics
Biogeography

Background:

Evolutionary biologists analyze population genetic data to test biogeographic hypotheses.
MIGRATE software, developed since 1998, aids in exploring population relationships.
The software has evolved with improved algorithms and computational efficiency.

Purpose of the Study:

To provide protocols for novice users to effectively utilize MIGRATE software.
To enable sophisticated analysis of population genetic data for hypothesis testing.
To guide users in comparing different biogeographic models.

Main Methods:

Utilizes coalescence theory and Bayesian inference for parameter estimation.
Supports complex population models including migration and colonization.
Employs marginal likelihoods for model comparison.

Main Results:

MIGRATE facilitates the evaluation of complex population models.
Concurrent computation on computer clusters enhances analysis efficiency.
Protocols cover installation, model specification, prior distributions, and model selection.

Conclusions:

MIGRATE is a powerful, continuously improving tool for population genetic analysis.
The provided protocols empower researchers to conduct advanced comparative analyses.
Effective use of MIGRATE aids in understanding evolutionary processes and biogeography.