Fitness consequences of larval traits persist across the metamorphic boundary.
Metamorphosis is thought to provide an adaptive decoupling between traits specialized for each life-history stage in species with complex life cycles. However, an increasing number of studies are finding that larval traits can carry-over to influence postmetamorphic performance, suggesting that these life-history stages may not be free to evolve independently of each other. We used a phenotypic selection framework to compare the relative and interactive effects of larval size, time to hatching, and time to settlement on postmetamorphic survival and growth in a marine invertebrate, Styela plicata. Time to hatching was the only larval trait found to be under directional selection, individuals that took more time to hatch into larvae survived better after metamorphosis but grew more slowly. Nonlinear selection was found to act on multivariate trait combinations, once again acting in opposite directions for selection acting via survival and growth. Individuals with above average values of larval traits were most likely to survive, but surviving individuals with intermediate larval traits grew to the largest size. These results demonstrate that larval traits can have multiple, complex fitness consequences that persist across the metamorphic boundary; and thus postmetamorphic selection pressures may constrain the evolution of larval traits.
School of Biological Sciences, University of Queensland, Brisbane, QLD 4072, Australia. a.crean@unsw.edu.au
Angela J
AJ
Crean
Keyne
K
Monro
Dustin J
DJ
Marshall
D000818:Animals; D005075:Biological Evolution; D049628:Body Size / Q000502:physiology*; D001837:Body Weights and Measures; D005307:Fertilization in Vitro; D056084:Genetic Fitness / Q000235:genetics / Q000502:physiology*; D007814:Larva / Q000254:growth & development; D016014:Linear Models; D008675:Metamorphosis, Biological / Q000502:physiology*; D010641:Phenotype; D011793:Queensland; D012641:Selection, Genetic; D013997:Time Factors; D014561:Urochordata / Q000235:genetics / Q000254:growth & development*