Characterization of trade-offs between immunity and reproduction in Astrangia poculata
Villafranca, N.; Changsut, I.; Diaz de Villegas, S. C.; Womack, H. R.; Fuess, L. E.
Show abstract
BackgroundLiving organisms face ubiquitous pathogenic threats and have consequently evolved immune systems to protect against potential invaders. However, many components of the immune system are physiologically costly to maintain and engage, often drawing resources away from other organismal processes such as growth and reproduction. Evidence from a diversity of systems has demonstrated that organisms use complex resource allocation mechanisms to manage competing needs and optimize fitness. However, understanding of resource allocation patterns is limited across taxa. Cnidarians, which include ecologically important organisms like hard corals, have been historically understudied in the context of resource allocations. Improving understanding of resource allocation-associated tradeoffs in cnidarians is critical for understanding future ecological dynamics in the face of rapid environmental change. MethodsHere, we characterize trade-offs between constitutive immunity and reproduction in the facultatively symbiotic coral Astrangia poculata. Male colonies underwent ex situ spawning and sperm output was quantified. We then examined the effects of variable symbiont density and energetic budget on physiological traits, including immune activity and reproductive investment. Furthermore, we tested for potential trade-offs between immune activity and reproductive investment. ResultsWe found limited effects of energetic budget on immune metrics; melanin production was significantly positively associated with energetic budget. However, we failed to document any associations between immunity and reproductive output which would be indicative of trade-offs, possibly due to experimental limitations. Our results provide a preliminary framework for future studies investigating immune trade-offs in cnidarians.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.