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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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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...
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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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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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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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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.
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Best Practices for Population Genetic Analyses.

N J Grünwald1, S E Everhart1, B J Knaus1

  • 1First and third authors: Horticultural Crop Research Unit, USDA-ARS, Corvallis, OR; and second and fourth authors: Department of Botany and Plant Pathology, Oregon State University, Corvallis.

Phytopathology
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Summary
This summary is machine-generated.

This review offers practical guidance for population genetic analysis in pathogens, addressing common challenges like sampling strategies and clonality. It helps researchers navigate complex data analyses and provides R programming examples for pathogen adaptation studies.

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Area of Science:

  • Microbiology
  • Genetics
  • Bioinformatics

Background:

  • Population genetic analysis is crucial for understanding pathogen emergence and adaptation.
  • Standard texts often lack practical details on experimental design and data analysis for microbial populations.
  • Clonality in pathogen populations complicates standard population genetic analyses due to violated assumptions.

Purpose of the Study:

  • To provide practical guidance on population genetic analysis for microbial and pathogen populations.
  • To address common, yet often unstated, questions regarding sampling, controls, and marker selection.
  • To offer strategies for analyzing pathogen population data, especially in the presence of clonality.

Main Methods:

  • Review of practical considerations in population genetic studies.
  • Discussion of challenges posed by clonality in pathogen populations.
  • Provision of guidance for data analysis in the R programming environment.

Main Results:

  • Identifies key practical challenges in pathogen population genetics not covered in traditional literature.
  • Offers solutions for sampling strategies, marker selection, and inclusion of controls.
  • Provides methods to navigate complex data analyses when standard assumptions are violated.

Conclusions:

  • This review equips researchers with practical skills for robust pathogen population genetic analyses.
  • It facilitates a deeper understanding of pathogen emergence and adaptation through improved analytical approaches.
  • The provided resources and examples enhance the application of population genetics in microbial research.