Journal
JOURNAL OF THEORETICAL BIOLOGY
Volume 264, Issue 4, Pages 1202-1213Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2010.03.017
Keywords
Species; Evolutionary computation; Adaptive landscape; SAW problem; Computational simulation
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Funding
- Natural Sciences and Engineering Research Council (NSERC) of Canada
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Ring species are a biological complex that theoretically forms when an ancestral population extends its range around a geographic barrier and, despite low-level gene flow, differentiates until reproductive isolation exists when terminal populations come into secondary contact Due to their rarity in nature, little is known about the biological factors that promote the formation of ring species We use evolutionary algorithms operating on two simple computational problems (SAW and K-max) to study the process of speciation under the conditions which may yield ring species We vary evolutionary parameters to measure their influence on ring species' development and stability over evolutionary time. Using the SAW problem, ring species consistently form, i.e. fertility is negatively correlated with distance (R-values between -0 097 and -0.821. p < 0 001). and terminal populations show substantial infertility However, all SAW simulations demonstrate instability in the complex after sympatric zones are established between terminal populations Higher mutation rates and larger dispersal/breeding radii promote ring species' formation and stability Using a problem with a simple fitness landscape, the K-max problem, ring species do not form Instead, speciation around the ring occurs before ring closure as good genotypes become locally dominant (C) 2010 Elsevier Ltd. All rights reserved
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