August Krogh counseled the careful selection of the best subject organism on which to undertake mechanistic physiological research. But what if an organism with the desired properties does not exist? It is now within our power to engineer organisms genetically to achieve novel combinations of traits. I propose that it is a logical extension of the Krogh principle that we use biological methodologies to create novel organisms ideally suited for particular physiological studies. Transgenics may first come to mind as the method for such transformations, but here I suggest that an alternative and complementary technique for generating biological novelty is experimental evolution. The latter has several advantages, including modification of multiple characters in one experiment, the production of advantageous traits, the testing of evolutionary hypotheses, and the identification of previously unsuspected factors involved in adaptation. Three experiments are reviewed, each of which examined the evolution of different physiological characters in different environments and organisms: locomotor performance in mice, desiccation tolerance in fruit flies, and high temperature adaptation in bacteria. While diverse in experimental type and subject, all resulted in the successful production of new variants with enhanced function in their new environments. Each experiment successfully tested hypotheses concerning physiological evolution, and in each case, unanticipated results emerged, which suggests previously unsuspected adaptive pathways and mechanisms. In addition, replicate populations in each experiment adjusted to their common environments by several different means, which indicates that physiological evolution may follow diverse stochastic pathways during adaptation. Experimental evolution can be a valuable method to produce and investigate new physiological variants and traits. The choice of experimental subjects, according to the Krogh principle, is no longer limited to currently existing organisms but is open to our imaginations and our ingenuity.
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http://dx.doi.org/10.1086/374275 | DOI Listing |
J Mol Model
January 2025
Departamento de Investigación y Desarrollo, ConsultoresAcademicos SpA, Moneda 1137, 8340457, Santiago, Chile.
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View Article and Find Full Text PDFJ Fluid Mech
December 2024
Université de Technologie de Compiègne, CNRS, Biomechanics and Bioengineering, Compiégne, France.
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View Article and Find Full Text PDFSubst Use
January 2025
Department of Clinical and Experimental Psychology, University of Huelva, Huelva, Spain.
Background: Various studies have provided evidence of the impact of COVID-19 and the measures adopted by governments on drug use and its treatment. After 4 years, a more precise assessment of the evolution of patients and addiction treatment services can be made. The objective of this study is to compare different periods during the COVID-19 pandemic to identify changes in patient profiles and the care activity of addiction treatment centres.
View Article and Find Full Text PDFPsychol Belg
January 2025
Department of Data-Analysis, Ghent University, Belgium.
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