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Related Concept Videos

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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Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.The collection of fossils within sedimentary rocks give a record of common ancestry and often depicts the history of evolution.
Genome Size and the Evolution of New Genes03:21

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Experimental evidence that source genetic variation drives pathogen emergence.

John J Dennehy1, Nicholas A Friedenberg, Robert C McBride

  • 1Biology Department, Queens College and the Graduate Center of the City University of New York, Flushing, NY, USA. john.dennehy@qc.cuny.edu

Proceedings. Biological Sciences
|May 21, 2010
PubMed
Summary

Pathogen emergence relies on migration from source populations, especially during range expansion. Source genetic variation aids adaptation in new environments, driving successful pathogen establishment.

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Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Ecology

Background:

  • Pathogen mutation allows host jumping, but successful establishment depends on more than just infectivity.
  • Migration from a source population can introduce beneficial mutations, aiding adaptation in a new host (sink).
  • This process is relevant for both novel host shifts and range expansions into less favorable conditions.

Purpose of the Study:

  • To investigate the factors dictating pathogen emergence success in new habitats.
  • To compare the speed of sink adaptation during host shifts versus range expansions.
  • To determine the role of source population genetic variation in pathogen adaptability.

Main Methods:

  • Evolving bacteriophage populations on novel host bacteria under sink conditions.
  • Manipulating emergence scenarios to mimic host shift versus range expansion.
  • Using unevolved founding genotypes as controls for sink adaptation.

Main Results:

  • Sink adaptation occurred fastest under range expansion conditions.
  • Controls without source migration showed no adaptation.
  • Host-shift populations exhibited fitness increases, but immigrants' fitness declined, suggesting source population influence.

Conclusions:

  • Source populations are crucial for driving adaptive emergence at the edge of a pathogen's range.
  • Range expansion facilitates faster adaptation due to congruent selection pressures.
  • Migration from source populations provides essential genetic variation for pathogen emergence.