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dc.contributor.authorWhigham, Peter Aen_NZ
dc.date.available2011-04-07T03:02:11Z
dc.date.copyright2004-11en_NZ
dc.identifier.citationWhigham, P. A. (2004). Fitness landscapes and gene location (pp. 127–134). Presented at the 16th Annual Colloquium of the Spatial Information Research Centre (SIRC 2004: A Spatio-temporal Workshop).en
dc.identifier.urihttp://hdl.handle.net/10523/764
dc.description.abstractThe paper outlines initial results into a study of the preference of gene location for diploid organisms under the presence of an environmental gradient. The work explores the properties of a spatially-explicit model of monoecious diploid individuals that evolve preferential coding of gene location. The individuals evolve over a space with a linear gradient, where the response to an individual’s phenotype determines the age before breeding. Each individual has three chromosomes that determine the position and value of two genes. These genes combine to determine the resulting breeding response. The concept of an NK fitness landscape is used to represent two different scenarios of gene linkage. The results indicate that when gene linkage is related by a rugged fitness landscape, the genes cluster on the same chromosome, whereas when the fitness landscape is smooth the genes are more likely to be on separate chromosomes. The work has implications for understanding some of the possible mechanisms that lead to gene clusters.en_NZ
dc.format.mimetypeapplication/pdf
dc.relation.urihttp://www.business.otago.ac.nz/SIRC05/conferences/2004/26_Whigham.pdfen_NZ
dc.subjectpopulation geneticsen_NZ
dc.subjectfunctional clusteringen_NZ
dc.subjectgene locationen_NZ
dc.subjectdiploiden_NZ
dc.subjectGenetic tradeoffen_NZ
dc.subject.lcshG Geography (General)en_NZ
dc.subject.lcshQL Zoologyen_NZ
dc.titleFitness landscapes and gene locationen_NZ
dc.typeConference or Workshop Item (Paper)en_NZ
dc.description.versionPublisheden_NZ
otago.date.accession2005-12-06en_NZ
otago.relation.pages127-134en_NZ
otago.openaccessOpen
dc.identifier.eprints150en_NZ
dc.description.refereedNon Peer Revieweden_NZ
otago.school.eprintsSpatial Information Research Centreen_NZ
otago.school.eprintsInformation Scienceen_NZ
dc.description.referencesBraastad, C. B., H. Hovhannisyan, A. J. v. Wijnen, J. L. Stein & G. S. Stein (2004) Functional characterization of a human histone gene cluster duplication. Genetics, 342:1, pp. 35-40. D'haeseleer, P., S. Liang & R. Somogyi (2000) Genetic network inference: from co-expression clustering to reverse engineering. Bioinformatics, 16: pp. 707-726. Ermentrout, G. B. & L. Edelstein-Keshet (1993) Cellular automata approaches to biological modeling. J. Theor. Biol., 160: pp. 19-133. Hogeweg, P. (1988) Cellular automata as a paradigm for ecological modeling. Applied Math. Comput., 27: pp. 81-100. Hurst, L. D., C. Pal & M. Lercher (2004) The Evolutionary Dynamics of Eukaryotic Gene Order. Nature Reviews, 5: pp. 299-310. Jackson, M. (2003) Duplicate, decouple, disperse: the evolutionary transience of human centromeric regions. Current Opinion in Genetics & Development, 13: pp. 629-635. Kauffman, S. (1995) At Home in the Universe: The Search for Laws of Self-Organization and Complexity, Penguin Books, London, England, pp. 321. Kaufmann, S. A. & S. Johnson 1992, 'Coevolution to the edge of chaos: coupled fitness landscapes, poised states and coevolutionary avalanches', in Artificial Life II, Eds C. G. Langton, C. Taylor, J. D. Farmer & S. Rasmussen, Reading, MA:Addison-Wesley, pp. 325-370. Nei, M. (2003) Let's stick together. Heredity, 90: pp. 411-412. Tamames, J., G. Casari, C. Ouzounis & A. Valencia (1997) Conserved clusters of functionally related genes in two bacterial genomes. J Mol Evol, 44:1, pp. 66-73. von Neumann, J. (1966) Theory of self-reproducing automata, University of Illinois Press, . Whigham, P. A. & D. Green (2004) A Spatially-Explicity model of Genetic Tradeoff. (to appear) The 7th Asia-Pacific Conference on Complex Systems, Australia, 6-10th December. Zhang, S., B. J. Monahan, J. S. Takacz & B. Scott (2004) Indole-Diterpene Gene Clusters from Aspergillus flavus. Appl Environ Microbiol., 70:11, pp. 6875-6883. Zhu, J. & M. Q. Zhang (2000) Cluster, function and promoter: analysis of yeast expression array. Pac. Symp. Biocomput., 5: pp. 476-487.en_NZ
otago.event.dates29-30 November 2004en_NZ
otago.event.placeDunedin, New Zealanden_NZ
otago.event.typeconferenceen_NZ
otago.event.title16th Annual Colloquium of the Spatial Information Research Centre (SIRC 2004: A Spatio-temporal Workshop)en_NZ
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