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Title: How self-organisation can guide evolution
Author: Glancy, Jonathan P.
ISNI:       0000 0004 6062 2979
Awarding Body: University of Sheffield
Current Institution: University of Sheffield
Date of Award: 2016
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Self-organisation and natural selection are fundamental in shaping the natural world. Substantial progress in understanding how these two forces interact as biological systems evolve has been made through the study of abstract models, for example by evolving boolean networks on computers. Further progress may be made by identifying a model system in which the interaction between self-organisation and selection can be investigated empirically. To this end, we investigate how the self-organising thermoregulatory huddling behaviours displayed by rodents might influence natural selection of the genetic components of metabolism. By applying a simple evolutionary algorithm to a simplistic description of self-organising thermoregulation huddling, we arrive at a clear albeit counterintuitive prediction: Animals able to huddle together in cold environments should evolve an increased thermal conductance at a faster rate than animals reared in isolation. According to the model, within-lifetime adaptation (self organising huddling) is able to guide the evolution of complementary between-lifetime adaptation (natural selection of thermoregulatory genes). Confirmation of these predictions in future experiments would constitute strong evidence of a mechanism by which self-organisation can guide natural selection.
Supervisor: Wilson, Stuart P. ; Gross, Roderich ; Stone, James V. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available