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Download (3398Kb) - ePrints Soton - University of Southampton

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showed that species with internal fertilization and presumably high rates <strong>of</strong><br />

fertilization display similar patterns <strong>of</strong> egg variation to those species with freely<br />

spawned gametes, thus they suggest that factors other than gamete encounter might be<br />

determinant for egg size evolution across different modes <strong>of</strong> reproduction.<br />

McEdward and Morgan (2001) analyzed the relationship between size <strong>of</strong> eggs<br />

and the energy contained in them using published data for 47 species <strong>of</strong> echinoderms<br />

(Table 4.1). They found that among echinoderms, larger eggs contain more energy,<br />

suggesting a general pattern in which energy scales very nearly in direct proportion to<br />

the volume <strong>of</strong> the egg across a significant range <strong>of</strong> egg sizes, both within and among<br />

different modes <strong>of</strong> development. The only exception is among species with<br />

planktotrophic larval development, where there does not appear to be a clear scaling<br />

relationship. However, there were wide confidence intervals around the estimated<br />

regression parameters in all <strong>of</strong> the analyses performed by McEdward and Morgan<br />

(2001). In addition, in all cases the predictive power <strong>of</strong> the regression was poor,<br />

requiring large differences in egg size in order to produce significantly different<br />

predictions <strong>of</strong> energy content. Therefore they concluded that egg size is <strong>of</strong> limited<br />

value for the quantitative prediction <strong>of</strong> egg energy content and should be used with<br />

caution in life-history studies.<br />

Natural selection is considered to drive the level <strong>of</strong> egg provisioning towards<br />

reproductive strategies with high fitness. If a single maximum is observed in the<br />

fitness curve, then selection will be expected to direct towards that best adaptation.<br />

However, if the fitness curve possesses another shape, for example curved upward<br />

(concave), then an adaptive valley between two optima might exist, and selection will<br />

be expected to be disruptive across that region.<br />

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