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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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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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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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Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
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Formation of Species

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Speciation describes the formation of one or more new species from one or sometimes multiple original species. The resulting species are discrete from the parent species, and barriers to reproduction will typically exist. There are two primary mechanisms, speciation with and without geographic isolation—allopatric and sympatric speciation, respectively.
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Related Experiment Video

Updated: Jun 15, 2025

Manipulation of Ploidy in Caenorhabditis elegans
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Manipulation of Ploidy in Caenorhabditis elegans

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Variant calling in polyploids for population and quantitative genetics.

Alyssa R Phillips1

  • 1Department of Evolution and Ecology University of California, Davis Davis 95616 California USA.

Applications in Plant Sciences
|August 26, 2024
PubMed
Summary
This summary is machine-generated.

Whole genome sequencing (WGS) offers improved insights into polyploid species, but variant calling presents unique challenges. Addressing issues like homology and dosage uncertainty is key to accurate genotype estimation in polyploids.

Keywords:
mixed ploidypolyploidypopulation geneticsquantitative geneticsvariant callingwhole genome sequence

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Area of Science:

  • Genomics
  • Bioinformatics
  • Polyploid Biology

Background:

  • Genome assembly and sequencing technologies now enable whole genome sequencing (WGS) for polyploid species.
  • WGS data provides genome-wide coverage and high marker density, surpassing reduced-representation methods for polyploid studies.
  • Polyploid species possess unique biological characteristics that complicate standard genomic analyses.

Purpose of the Study:

  • To discuss the challenges associated with variant calling in polyploid WGS data.
  • To explore potential solutions for improving variant calling accuracy in polyploid genomes.
  • To identify integration points for these solutions within existing variant calling pipelines.

Main Methods:

  • Review of challenges in read mapping, variant identification, and genotype estimation for polyploid WGS data.
  • Discussion of biological factors influencing variant calling, including allelic dosage uncertainty and subgenome homology.
  • Exploration of chromosome inheritance modes and their impact on variant calling.

Main Results:

  • Variant calling in polyploid WGS data faces significant hurdles due to biological complexities.
  • Accounting for specific polyploid characteristics can substantially reduce variant calling errors.
  • Standard variant calling pipelines can be adapted to incorporate solutions for polyploid data.

Conclusions:

  • Accurate variant calling in polyploid WGS data requires specialized approaches.
  • Addressing allelic dosage, homology, and inheritance patterns is crucial for reliable genotype estimation.
  • Further development and integration of methods are needed to fully leverage WGS data for polyploid research.