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Related Concept Videos

What is Population Genetics?01:25

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.While some alleles of a given gene might be observed commonly, other variants...
Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Mutation, Gene Flow, and Genetic Drift01:09

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).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...

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Related Experiment Video

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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Inferring past demography using spatially explicit population genetic models.

Nicolas Ray1, Laurent Excoffier

  • 1Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland.

Human Biology
|December 1, 2009
PubMed
Summary

Human population genetics research uses genetic data to infer past demographics. Spatially explicit models are crucial for understanding population expansion and dispersal, as neutral processes can mimic genetic selection.

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Area of Science:

  • Population Genetics
  • Genomics
  • Bayesian Inference

Background:

  • Inferring past human population demographics traditionally relied on archaeology.
  • Contemporary genetic data offers new avenues for demographic inference.
  • Accurate continental-scale demographic models are vital for advancing genomic methods to detect selection.

Purpose of the Study:

  • To highlight the significance of spatially explicit approaches in demographic modeling.
  • To discuss how neutral processes can influence allele frequency patterns.
  • To identify key areas for future research in population genetics.

Main Methods:

  • Review of Bayesian statistical inference techniques.
  • Discussion of spatially explicit modeling for population expansion and dispersal.
  • Consideration of neutral processes like allele surfing.

Main Results:

  • Spatially explicit models are important for realistic demographic inference.
  • Neutral processes at range expansion fronts can mimic genetic selection.
  • Allele surfing may explain the widespread distribution of certain alleles.

Conclusions:

  • Integrating archaeological and genetic data can improve population genetic models.
  • Further research is needed on range contractions, reexpansions, and long-distance dispersal.
  • Spatially explicit modeling is essential for understanding human demographic history and genetic variation.