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Related Experiment Videos

Hemostasis and irreducible complexity.

W C Aird1

  • 1Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA. waird@caregroup.harvard.edu

Journal of Thrombosis and Haemostasis : JTH
|July 23, 2003
PubMed
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Coagulation evolved to stop bleeding and fight pathogens. This review highlights evolutionary principles of hemostasis, emphasizing non-linear complexity and gene duplication's role in its rapid development.

Area of Science:

  • Evolutionary biology
  • Molecular biology
  • Biochemistry

Background:

  • Coagulation, essential for hemostasis and pathogen defense, presents complex evolutionary questions.
  • The intricate clotting cascade has been controversially cited as evidence for intelligent design.
  • Understanding coagulation's evolution offers insights into fundamental biological principles.

Purpose of the Study:

  • To explore the evolutionary principles underlying the hemostatic mechanism.
  • To use the creationist-evolutionary debate as a framework for discussing hemostasis.
  • To highlight the adaptive evolution of blood clotting.

Main Methods:

  • Review of existing literature on coagulation and evolutionary biology.
  • Analysis of the hemostatic system through the lens of evolutionary principles.

Related Experiment Videos

  • Examination of the non-linear complexity and cellular responses in hemostasis.

    • Main Results:

    • The hemostatic mechanism exhibits non-linear complexity, characteristic of biological systems.
    • The cellular response is identified as primary hemostasis due to its evolutionary precedence and functional significance.
    • Gene duplication and exon shuffling are key drivers of the rapid evolution of hemostasis in vertebrates.

    Conclusions:

    • Evolutionary principles, including gene duplication and exon shuffling, adequately explain the complexity of coagulation.
    • The cellular response is a foundational element of hemostasis from an evolutionary perspective.
    • Hemostasis provides a compelling case study for understanding adaptive evolution in biological systems.