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Related Concept Videos

Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...
Genetic Drift03:33

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.Life is not fair. A deer grazing contentedly in a field can have her meal cut tragically short by a bolt of lightning. If the doomed doe is one of only three in the population, 1/3 of the population’s gene pool is lost. Random events like this can...
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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Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

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Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
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IBDSim: a computer program to simulate genotypic data under isolation by distance.

Raphaël Leblois1, Arnaud Estoup, François Rousset

  • 1Muséum National d'Histoire Naturelle, UMR 5202 CNRS/MNHN 'Origine, Structure et Evolution de la Biodiversité', Paris, France, INRA, UMR CBGP (INRA/IRD/Cirad/Montpellier SupAgro), Campus International de Baillarguet CS 30 016 F-34988, Montferrier-sur-Lez cedex, France, Université Montpellier 2, CNRS, Institut des sciences de l'Évolution, Montpellier, France.

Molecular Ecology Resources
|May 14, 2011
PubMed
Summary
This summary is machine-generated.

IBDSim simulates genotypic data using a backward coalescent model for isolation by distance scenarios. This tool aids in studying genetic variation patterns and generating test data for inferential methods.

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Area of Science:

  • Population Genetics
  • Computational Biology
  • Genetics

Background:

  • Isolation by distance is a key factor shaping genetic variation.
  • Simulating genetic data is crucial for understanding evolutionary processes.
  • Existing simulation tools may not fully capture complex demographic scenarios.

Purpose of the Study:

  • To introduce IBDSim, a novel software package for simulating genotypic data under isolation by distance.
  • To provide a flexible tool for exploring the impact of various factors on genetic variation patterns.
  • To generate realistic datasets for testing population genetic inference methods.

Main Methods:

  • Utilizes a backward, generation-by-generation coalescent algorithm.
  • Accommodates both discrete and continuous population structures.
  • Supports diverse dispersal distributions and spatiotemporal demographic heterogeneity.

Main Results:

  • IBDSim enables simulation of complex isolation by distance models.
  • The package allows investigation of sampling, mutation, and demographic effects.
  • Generated data can be used to evaluate the performance of genetic analysis tools.

Conclusions:

  • IBDSim offers a powerful and flexible platform for population genetic simulations.
  • The software facilitates research into the drivers of genetic variation.
  • It serves as a valuable resource for developing and validating population genetic inference methods.