Evolutionary processes in any population depend upon patterns of phenotypic variation available to selection and their underlying heritability. In this thesis, I used the filamentous red seaweed Asparagopsis armata, with particular focus on its modularity, to test several key questions underlying its growth-form evolution in heterogeneous environments. I established that experimental manipulations of light quantity and quality mimicking variation in underwater light due to shading or depth induce growthform plasticity in A. armata that may be evolutionarily significant given its variability among clones. Current patterns of plasticity displayed by A. armata appear adaptive, moreover, given that a reciprocal transplant of phenotypes between light environments found densely-branched (phalanx-like) phenotypes to have higher relative growth rates than sparsely-branched (guerrilla-like) phenotypes in well-lit patches, but lower relative growth rates than the latter in shaded patches. Using the capacity for rapid growth as a proxy for fitness, multivariate selection analyses identified environment-dependent patterns of directional selection on single traits coupled with linear and nonlinear selection on multi-trait combinations that shape growth-form variation within patches of differing light intensity, thereby reinforcing plasticity across light environments. Quantitative genetic analyses, however, suggest that the modular iteration of genes in morphogenesis may limit further growth-form evolution in A. armata populations exposed to spatial heterogeneity in light by constraining thallus responses to environment-dependent selection. Last, heritable responses to artificial selection on growth-form variation among clonal cell-lineages revealed the surprising capacity for A.armata to circumvent genetic constraints inherent to its development by adapting to environmental change in the absence of sexually-generated variance among clones.
| Identifer | oai:union.ndltd.org:ADTP/187462 |
| Date | January 2007 |
| Creators | Monro, Keyne, School of Biological, Earth & Environmental Sciences, UNSW |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | http://unsworks.unsw.edu.au/copyright, http://unsworks.unsw.edu.au/copyright |
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