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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.
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).
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
Gene Flow02:39

Gene Flow

Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
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.
Conservation of Declining Populations02:07

Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.

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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

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Quantifying introgression risk with realistic population genetics.

Atiyo Ghosh1, Patrick G Meirmans, Patsy Haccou

  • 1Institute of Environmental Sciences (CML), Leiden University, PO Box 9518, 2300 RA Leiden, The Netherlands. atiyoghosh@hotmail.com

Proceedings. Biological Sciences
|October 12, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces improved methods for quantifying introgression risk, considering realistic genetic factors and population dynamics. The findings offer a more accurate assessment of transgene spread and potential ecological impacts.

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Area of Science:

  • Genetics and Evolutionary Biology
  • Risk Assessment and Management
  • Agricultural Science

Background:

  • Introgression, the permanent incorporation of genes between populations, poses risks like species extinction and transgene spread.
  • Current risk quantification methods for introgression often oversimplify genetic mechanisms, invasion dynamics, and population stochasticity.
  • The role of genetic linkage in mitigating introgression risk requires more robust theoretical investigation.

Purpose of the Study:

  • To develop and present accurate methods for quantifying introgression risk, addressing limitations in existing models.
  • To generalize a probabilistic risk measure, the hazard rate of introgression, for complex genetic scenarios and small populations.
  • To investigate the impact of linkage and recombination on transgene introgression risk.

Main Methods:

  • Development of generalized probabilistic risk measures, specifically the hazard rate of introgression.
  • Application of these methods to introgression models incorporating complex genetics and demographic stochasticity.
  • Simulation and analysis of transgene introgression dynamics under varying linkage and recombination rates across different population sizes.

Main Results:

  • The study presents refined methods that properly account for repeated invasions and demographic stochasticity in introgression risk assessment.
  • The generalized hazard rate provides a more reliable and less manipulable measure of introgression risk.
  • Linkage and recombination were shown to significantly influence transgene introgression risk, with effects varying by population size.

Conclusions:

  • The developed methods offer a more accurate and comprehensive approach to quantifying introgression risk, crucial for genetically modified crop regulation.
  • Understanding the interplay of genetics, population dynamics, and invasion patterns is essential for effective risk management.
  • This research provides a foundation for improved ecological risk assessments concerning gene flow and its consequences.