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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.4K
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.
In contrast, regions which code...
8.4K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.8K
3.8K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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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.
9.4K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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3.7K
Exon Recombination02:32

Exon Recombination

4.3K
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...
4.3K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

66.0K
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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Related Experiment Video

Updated: Apr 1, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

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Gene-pseudogene evolution: a probabilistic approach.

Owais Mahmudi, Bengt Sennblad, Lars Arvestad

    BMC Genomics
    |October 10, 2015
    PubMed
    Summary
    This summary is machine-generated.

    Gene tree reconstruction methods now incorporate species trees, often using probabilistic models like duplication-loss and DLRS. Research also explores functional non-coding DNA, such as pseudogenes, which can produce functional RNA.

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    Area of Science:

    • Computational Biology
    • Evolutionary Genetics
    • Bioinformatics

    Background:

    • Gene tree reconstruction methods have advanced to integrate species tree information over the past decade.
    • Probabilistic models, such as the duplication-loss model and its extension, the DLRS (Duplication, Loss, Rate and Sequence evolution) model, are central to these methods.
    • A parallel research area focuses on the functional roles of non-protein-coding DNA, including pseudogenes that can yield functional RNA.

    Purpose of the Study:

    • To review and synthesize recent advancements in gene tree reconstruction methods.
    • To highlight the importance of probabilistic models in evolutionary analyses.
    • To underscore the significance of functional non-coding DNA research.

    Main Methods:

    • Review of probabilistic models for gene tree reconstruction, including duplication-loss and DLRS models.
    • Discussion of methods incorporating species tree information.
    • Exploration of research on functional non-coding DNA and pseudogene transcription.

    Main Results:

    • Development of sophisticated models for gene tree reconstruction that account for species evolution.
    • Integration of sequence evolution under relaxed molecular clocks (DLRS model).
    • Recognition of functional potential in non-coding DNA elements like pseudogenes.

    Conclusions:

    • Gene tree reconstruction has significantly benefited from models that consider species-level evolutionary events.
    • The DLRS model offers a more comprehensive approach by including sequence evolution.
    • Functional non-coding DNA represents a crucial area for future biological research.