The effects of within-generation plasticity versus transgenerational plasticity on trait expression are poorly understood, but important for evaluating plasticity’s evolutionary consequences. We tested how genetics, within-generation plasticity, and transgenerational plasticity jointly shape traits influencing rapid evolution in the field cricket Teleogryllus oceanicus. In Hawaiian populations attacked by acoustically-orienting parasitoid flies, a protective, X-linked variant (“flatwing”) eliminates male acoustic sexual signals. Silent males rapidly spread to fixation, dramatically changing the acoustic environment. First, we found evidence supporting flatwing-associated pleiotropy in juveniles: pure-breeding flatwing males and females exhibit greater locomotion than those with normal-wing genotypes. Second, within-generation plasticity caused homozygous-flatwing females developing in silence, which mimics all-flatwing populations, to attain lower adult body condition and reproductive investment than those experimentally exposed to song. Third, maternal song exposure caused transgenerational plasticity in offspring, affecting adult, but not juvenile, size, condition, and reproductive investment. This contrasted with behavioral traits, which were only influenced by within-generation plasticity. Fourth, we matched and mismatched maternal and offspring social environments and found that transgenerational plasticity sometimes interacted with within-generation plasticity and sometimes opposed it. Our findings stress the importance of evaluating the plasticity of different traits and stages across generations when evaluating their fitness consequences and role in adaptation.

Locomotion activity data was measured from a 5-minute open-field test video, from which coordinates were extracted using DORIS (v.0.0.17). Coordinates were then smoothed and distances were computed using a custom script in R. Size data (pronotum length and width) were measured from images of individual crickets using ImageJ (v.1.8.0_112). The reproductive investment was measured by weighting ovary and egg tissue in females or testes in males. The somatic condition was calculated from somatic weight (total weight - reproductive tissue weight) separately for each sex using the smatr package in R. 

All data files can be opened using Excel. Scripts can be opened using R.