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Related Concept Videos

What is Population Genetics?01:25

What is Population Genetics?

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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.
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Population Growth00:57

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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.
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Gene Flow02:39

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Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
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Genetic Screens02:46

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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
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Mutation, Gene Flow, and Genetic Drift01:09

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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).
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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Developing educational resources for population genetics in R: an open and collaborative approach.

Zhian N Kamvar1, Margarita M López-Uribe2, Simone Coughlan3

  • 1Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA.

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Summary

This study introduces a centralized online resource for R population genetics analyses, simplifying learning and skill acquisition. It features a community-driven platform with robust quality assurance for ongoing development.

Keywords:
GitHubgitonline resourcesopen accessopen educationpopulation genetics

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Area of Science:

  • Population genetics
  • Bioinformatics
  • Computational biology

Background:

  • The R computing language is widely used for population genetic analyses.
  • Existing R resources for population genetics are fragmented and incomplete.
  • This fragmentation hinders efficient learning and application of population genetics in R.

Purpose of the Study:

  • To create a comprehensive, accessible online community resource for conducting population genetic analyses in R.
  • To provide guidance and working demonstrations for both novice and advanced R users.
  • To establish a sustainable model for resource maintenance and community contribution.

Main Methods:

  • Developed a freely available online resource at http://popgen.nescent.org.
  • Implemented a toolchain for cost-effective upkeep, low contribution barriers, and quality assurance.
  • Utilized automatic integration testing and website rebuilding for all changes.
  • Adopted a distributed version control-based workflow for open peer review by editors.
  • Included detailed documentation and video tutorials for the contribution process.

Main Results:

  • Successfully launched a centralized online resource for R population genetics.
  • Established a sustainable toolchain and contribution workflow ensuring quality and ease of participation.
  • Created a platform that caters to a wide range of user expertise levels.
  • Fostered a community-driven approach to resource development and maintenance.

Conclusions:

  • The new online resource significantly lowers the barrier to entry for population genetic analyses in R.
  • The implemented toolchain and workflow ensure the resource's long-term viability and quality.
  • Community contributions are actively encouraged to expand and improve the resource for population geneticists.