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Related Concept Videos

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.
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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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The Evidence for Evolution02:55

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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.
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Convergent Evolution01:54

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Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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Related Experiment Video

Updated: Feb 7, 2026

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
10:50

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening

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Solid-Phase Gene Synthesis for Mutant Library Construction: The Future of Directed Evolution?

Aitao Li1, Zhoutong Sun2, Manfred T Reetz3,2,4

  • 1Hubei Collaborative Innovation Center for Green Transformation of, Bio-resources, Hubei Key Laboratory of Industrial Biotechnology, College of Life Sciences, Hubei University, 368 Youyi Road, Wuchang Wuhan, 430062, China.

Chembiochem : a European Journal of Chemical Biology
|July 26, 2018
PubMed
Summary
This summary is machine-generated.

Directed evolution using chemical gene synthesis overcomes amino acid bias in enzyme engineering. The Twist platform offers a superior, low-bias alternative to traditional methods for creating better biocatalysts.

Keywords:
amino acidsdirected evolutionenzymesmutagenesissolid-phase gene synthesis

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Area of Science:

  • Biocatalysis and Enzyme Engineering
  • Synthetic Biology
  • Organic Chemistry

Background:

  • Directed evolution is crucial for developing stereo- and regioselective enzymes.
  • Saturation mutagenesis is a key technique but suffers from amino acid bias.
  • This bias compromises DNA and protein library quality.

Purpose of the Study:

  • To analyze and compare chemical solid-phase gene synthesis methods for enzyme library construction.
  • To evaluate the effectiveness of Sloning and Twist platforms against traditional PCR-based methods.
  • To identify solutions for amino acid bias in directed evolution.

Main Methods:

  • Analysis of chemical solid-phase gene synthesis platforms (Sloning, Twist).
  • Comparison with traditional PCR-based saturation mutagenesis.
  • Evaluation of amino acid bias in library construction.

Main Results:

  • Chemical solid-phase gene synthesis addresses amino acid bias in library construction.
  • The commercial Twist platform demonstrates significantly reduced amino acid bias.
  • PCR-based methods exhibit inherent amino acid bias.

Conclusions:

  • Chemical gene synthesis, particularly the Twist platform, offers a superior approach for generating high-quality enzyme libraries.
  • Overcoming amino acid bias is critical for advancing directed evolution and biocatalyst development.
  • This method provides a viable alternative to traditional techniques for enzyme engineering.