|Genetic basis of physiological variation in natural populations of sea anemones: intra- and interclonal analyses of variance|
Shick, J.M.; Dowse, H.B. (1985). Genetic basis of physiological variation in natural populations of sea anemones: intra- and interclonal analyses of variance, in: Gibbs, P.E. (Ed.) Proceedings of the 19th European Marine Biology Symposium, Plymouth, Devon, UK, 16-21 September 1984. pp. 465-479
In: Gibbs, P.E. (Ed.) (1985). Proceedings of the 19th European Marine Biology Symposium, Plymouth, Devon, UK, 16-21 September 1984. Cambridge University Press: Cambridge. ISBN 0-521-30294-3. 541 pp., more
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Sea anemones reproduce both sexually and asexually. This produces population structures characterized by genotypically diverse clones, each consisting of numerous genetically identical individuals. Such populations present the opportunity to make replicated physiological measurements on multiple, yet genetically identical, individuals (clonemates) and to compare this intraclonal variance with interclonal variation in the entire population. This procedure may prove useful in quantifying the interaction of genetic and environmental factors on phenotypic variation in natural populations, and in assessing the adaptive significance of particular functional gene products (allozymes) and levels of individual heterozygosity. Using data from the literature, we have shown that in 11 of 13 cases the variance in several physiological measures was significantly less in monoclonal groups of anemones than in genotypically diverse conspecifics or closely related species. In Anthopleura elegantissima, 67% and 80% , respectively, of the variance in lipid concentration and chlorophyll concentration arose from differences among clones. The lower variability within clones than among clones in physiological and biochemical measures also necessitates a knowledge of the population structure of the species in question when collecting specimens for experiments, if the results are to reflect the characteristic (mean) response of the genetically diverse population to experimental variables.