The Talk.Origins Archive: Exploring the Creation/Evolution Controversy

Index to Creationist Claims, edited by Mark Isaak, Copyright © 2005
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Claim CA215:

The theory of evolution is useless, without practical application.

Source:

Lindsey, George. 1985. Evolution -- Useful or useless? Impact 148 (Oct.). http://www.icr.org/index.php?module=articles&action=view&ID=252
Wieland, Carl. 1998. Evolution and practical science. Creation 20(4) (Sept.): 4. http://www.answersingenesis.org/creation/v20/i4/evolution.asp

Response:

  1. Evolutionary theory is the framework tying together all of biology. It explains similarities and differences between organisms, fossils, biogeography, drug resistance, extreme features such as the peacock's tail, relative virulence of parasites, and much more besides. Without the theory of evolution, it would still be possible to know much about biology, but not to understand it.

    This explanatory framework is useful in a practical sense. First, a unified theory is easier to learn, because the facts connect together rather than being so many isolated bits of trivia. Second, having a theory makes it possible to see gaps in the theory, suggesting productive areas for new research.

  2. Evolutionary theory has been put to practical use in several areas (Futuyma 1995; Bull and Wichman 2001). For example:
    • Bioinformatics, a multi-billion-dollar industry, consists largely of the comparison of genetic sequences. Descent with modification is one of its most basic assumptions.
    • Diseases and pests evolve resistance to the drugs and pesticides we use against them. Evolutionary theory is used in the field of resistance management in both medicine and agriculture (Bull and Wichman 2001).
    • Evolutionary theory is used to manage fisheries for greater yields (Conover and Munch 2002).
    • Artificial selection has been used since prehistory, but it has become much more efficient with the addition of quantitative trait locus mapping.
    • Knowledge of the evolution of parasite virulence in human populations can help guide public health policy (Galvani 2003).
    • Sex allocation theory, based on evolution theory, was used to predict conditions under which the highly endangered kakapo bird would produce more female offspring, which retrieved it from the brink of extinction (Sutherland 2002).

    Evolutionary theory is being applied to and has potential applications in may other areas, from evaluating the threats of genetically modified crops to human psychology. Additional applications are sure to come.

  3. Phylogenetic analysis, which uses the evolutionary principle of common descent, has proven its usefulness:
    • Tracing genes of known function and comparing how they are related to unknown genes helps one to predict unknown gene function, which is foundational for drug discovery (Branca 2002; Eisen and Wu 2002; Searls 2003).
    • Phylogenetic analysis is a standard part of epidemiology, since it allows the identification of disease reservoirs and sometimes the tracking of step-by-step transmission of disease. For example, phylogenetic analysis confirmed that a Florida dentist was infecting his patients with HIV, that HIV-1 and HIV-2 were transmitted to humans from chimpanzees and mangabey monkeys in the twentieth century, and, when polio was being eradicated from the Americas, that new cases were not coming from hidden reservoirs (Bull and Wichman 2001). It was used in 2002 to help convict a man of intentionally infecting someone with HIV (Vogel 1998). The same principle can be used to trace the source of bioweapons (Cummings and Relman 2002).
    • Phylogenetic analysis to track the diversity of a pathogen can be used to select an appropriate vaccine for a particular region (Gaschen et al. 2002).
    • Ribotyping is a technique for identifying an organism or at least finding its closest known relative by mapping its ribosomal RNA onto the tree of life. It can be used even when the organisms cannot be cultured or recognized by other methods. Ribotyping and other genotyping methods have been used to find previously unknown infectious agents of human disease (Bull and Wichman 2001; Relman 1999).
    • Phylogenetic analysis helps in determining protein folds, since proteins diverging from a common ancestor tend to conserve their folds (Benner 2001).

  4. Directed evolution allows the "breeding" of molecules or molecular pathways to create or enhance products, including:
    • enzymes (Arnold 2001)
    • pigments (Arnold 2001)
    • antibiotics
    • flavors
    • biopolymers
    • bacterial strains to decompose hazardous materials.
    Directed evolution can also be used to study the folding and function of natural enzymes (Taylor et al. 2001).

  5. The evolutionary principles of natural selection, variation, and recombination are the basis for genetic algorithms, an engineering technique that has many practical applications, including aerospace engineering, architecture, astrophysics, data mining, drug discovery and design, electrical engineering, finance, geophysics, materials engineering, military strategy, pattern recognition, robotics, scheduling, and systems engineering (Marczyk 2004).

  6. Tools developed for evolutionary science have been put to other uses. For example:
    • Many statistical techniques, including analysis of variance and linear regression, were developed by evolutionary biologists, especially Ronald Fisher and Karl Pearson. These statistical techniques have much wider application today.
    • The same techniques of phylogenetic analysis developed for biology can also trace the history of multiple copies of a manuscript (Barbrook et al. 1998; Howe et al. 2001) and the history of languages (Dunn et al. 2005).

  7. Good science need not have any application beyond satisfying curiosity. Much of astronomy, geology, paleontology, natural history, and other sciences have no practical application. For many people, knowledge is a worthy end in itself.

  8. Science with little or no application now may find application in the future, especially as the field matures and our knowledge of it becomes more complete. Practical applications are often built upon ideas that did not look applicable originally. Furthermore, advances in one area of science can help illuminate other areas. Evolution provides a framework for biology, a framework which can support other useful biological advances.

  9. Anti-evolutionary ideas have been around for millennia and have not yet contributed anything with any practical application.

References:

  1. Arnold, Frances H. 2001. Combinatorial and computational challenges for biocatalyst design. Nature 409: 253-257.
  2. Barbrook, Adrian C., Christopher J. Howe, Norman Blake, and Peter Robinson, 1998. The phylogeny of The Canterbury Tales. Nature 394: 839.
  3. Benner, Steven A. 2001. Natural progression. Nature 409: 459.
  4. Branca, Malorye. 2002. Sorting the microbes from the trees. Bio-IT Bulletin, Apr. 07. http://www.bio-itworld.com/news/040702_report186.html
  5. Bull, J. J. and H. A. Wichman. 2001. Applied evolution. Annual Review of Ecology and Systematics 32: 183-217.
  6. Cherry, J. R., and A. L. Fidantsef. 2003. Directed evolution of industrial enzymes: an update. Current Opinion in Biotechnology 14: 438-443.
  7. Conover, D. O. and S. B. Munch. 2002. Sustaining fisheries yields over evolutionary time scales. Science 297: 94-96. See also pp. 31-32.
  8. Cummings, C. A. and D. A. Relman. 2002. Microbial forensics-- "cross-examining pathogens". Science 296: 1976-1979.
  9. Dunn, M., A. Terrill, G. Reesink, R. A. Foley and S. C. Levinson. 2005. Structural phylogenetics and the reconstruction of ancient language history. Science 309: 2072-2075. See also: Gray, Russell. 2005. Pushing the time barrier in the quest for language roots. Science 309: 2007-2008.
  10. Eisen, J. and M. Wu. 2002. Phylogenetic analysis and gene functional predictions: Phylogenomics in action. Theoretical Population Biology 61: 481-487.
  11. Futuyma, D. J. 1995. The uses of evolutionary biology. Science 267: 41-42.
  12. Galvani, Alison P. 2003. Epidemiology meets evolutionary ecology. Trends in Ecology and Evolution 18(3): 132-139.
  13. Gaschen, B. et al.. 2002. Diversity considerations in HIV-1 vaccine selection. Science 296: 2354-2360.
  14. Howe, Christopher J. et al. 2001. Manuscript evolution. Trends in Genetics 17: 147-152.
  15. Marczyk, Adam. 2004. Genetic algorithms and evolutionary computation. http://www.talkorigins.org/faqs/genalg/genalg.html
  16. Nesse, Randolph M. and George C. Williams. 1994. Why We Get Sick. New York: Times Books.
  17. Relman, David A. 1999. The search for unrecognized pathogens. Science 284: 1308-1310.
  18. Searls, D., 2003. Pharmacophylogenomics: Genes, evolution and drug targets. Nature Reviews Drug Discovery 2: 613-623. http://www.nature.com/nature/view/030731.html
  19. Sutherland, William J., 2002. Science, sex and the kakapo. Nature 419: 265-266.
  20. Taylor, Sean V., Peter Kast, and Donald Hilvert. 2001. Investigating and engineering enzymes by genetic selection. Angewandte Chemie International Edition 40: 3310-3335.
  21. Vogel, Gretchen. 1998. HIV strain analysis debuts in murder trial. Science 282: 851-852.

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