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Related Concept Videos

Exon Recombination02:32

Exon Recombination

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The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon...
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Conservative Site-specific Recombination and Phase Variation02:53

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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Gene Conversion02:08

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Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
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Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...
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Viral Recombination00:57

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Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
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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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Molecular Evolution of the Tre Recombinase
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Evolution with recombination as Gibbs sampling.

Jenny M Poulton1, Lee Altenberg2, Chris Watkins3

  • 1Foundation for Fundamental Research on Matter (FOM) Institute for Atomic and Molecular Physics (AMOLF), Amsterdam, 1098 XE, The Netherlands.

Theoretical Population Biology
|April 8, 2023
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Summary
This summary is machine-generated.

This study introduces a novel population genetics model for evolution, enabling exact calculations of mutation-selection equilibrium without approximations. It reveals new insights into genetic architecture and fitness function dynamics.

Keywords:
Detailed balanceDirichlet processGenetic architectureMoran process

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Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Theoretical Biology

Background:

  • Traditional population genetic models often rely on diffusion approximations for analysis.
  • Understanding mutation-selection balance and genetic architecture is crucial for evolutionary studies.

Purpose of the Study:

  • To develop an exact, tractable population genetic model incorporating haploid selection, mutation, recombination, and drift.
  • To derive analytical solutions for mutation-selection equilibrium and stationary distributions for arbitrary fitness functions.

Main Methods:

  • Utilized n-parent recombination to enforce linkage equilibrium among offspring, enabling exact analysis of populations under linkage disequilibrium.
  • Derived a general, exact relationship between fitness fluctuations and response to selection.
  • Developed methods for analytically calculating stationary distributions for finite and infinite populations.

Main Results:

  • Achieved exact, closed-form solutions for mutation-selection equilibrium, bypassing diffusion approximations.
  • Provided analytical calculations for stationary distributions across various non-trivial fitness functions.
  • Established a direct link between fitness fluctuations and evolutionary response.

Conclusions:

  • The developed model offers a powerful framework for studying genetic architecture and evolutionary dynamics.
  • Enables precise investigation of metastability, fitness tradeoffs, and applications in error-correcting codes.
  • Provides exact methods applicable to diverse fitness functions and population structures.