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Related Concept Videos

The Evidence for Evolution02:55

The Evidence for Evolution

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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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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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Scientists record evolutionary history by analyzing fossil, morphological, and genetic data. The fossil record documents the history of life on Earth and provides evidence for evolution. However, both fossil and living organisms offer evidence that outlines Earth’s evolutionary history.
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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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Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the...
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Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
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Arresting Evolution.

James J Bull1, Jeffrey E Barrick2

  • 1Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA; Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA; Both authors contributed equally.

Trends in Genetics : TIG
|October 15, 2017
PubMed
Summary
This summary is machine-generated.

Humans harness evolution, but rapid evolution poses health risks and hinders biotechnology. Strategies from population genetics and genome editing can be used to control unwanted evolution, improving safety and reliability.

Keywords:
drug resistanceevolution proofgene drivegenome engineeringrefuge cropsynthetic biology

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Area of Science:

  • Evolutionary biology
  • Biotechnology
  • Genetics

Background:

  • Selective breeding is a long-standing human application of evolution.
  • Rapid evolution drives challenges such as drug resistance, cancer, and weed proliferation.
  • Uncontrolled evolution compromises the safety and reliability of biotechnological applications like live vaccines and engineered cells.

Purpose of the Study:

  • To review and classify population genetics-inspired methods for arresting evolution.
  • To explore novel genome editing techniques for limiting evolutionary processes.
  • To address the challenges posed by unwanted evolution in health and biotechnology.

Main Methods:

  • Literature review and classification of existing population genetics-based strategies.
  • Discussion of emerging genome editing technologies.
  • Analysis of evolutionary mechanisms and control strategies.

Main Results:

  • Existing population genetics approaches offer methods to slow or stop evolution.
  • Genome editing presents new, powerful avenues for controlling evolution.
  • A classification of evolutionary control strategies is provided.

Conclusions:

  • Controlling unwanted evolution is crucial for human health and biotechnological advancement.
  • A combination of population genetics and genome editing strategies can effectively limit detrimental evolutionary trajectories.
  • Future research should focus on integrating these methods for robust evolutionary control.