Quantitative genetics of lifetime growth curves in a lizard
Aragon, A.; Rutschmann, A.; Richard, M.; Bestion, E.; Pellerin, F.; Winandy, L.; San Jose, L.-M.; Di Gesu, L.; Darnet, E.; Cribellier, J.; Massot, M.; Clobert, J.; Cote, J.; de Villemereuil, P.
Show abstract
While body size is an iconic trait in quantitative genetics, it bears little meaning without age information for species with indefinite growth. Instead, lifetime growth curves capture the same central aspect of individuals life-history, while accounting for its dynamics through time. Growth curve is a complex, function-valued traits, which requires a specialised framework to study its quantitative genetics. Here, we study growth in a squamate, the common lizard (Zootoca vivipara). We use two large datasets with available pedigree information: one from a wild population in a colder, montane environment; the other from an experimental population in a warmer, lowland environment. We found slower growth and larger asymptotic sizes in the colder population. We also found faster growth to lower asymptotic sizes for males. Inferences using a non-linear animal model show very low to moderate heritabilities in the parameters of individual growth curves, varying across populations and sexes. The decomposition of the additive genetic variance show a small to moderate heritability of the overall growth curves, with a stronger importance of the heritability in the shape of growth curves (variation in the dynamics of growth) than on their offset (variation between smaller and larger individuals). Genetic variation in growth curves differed between the two populations, with higher heritabilities in the experimental population. It also differed between sexes: there was more genetic variation in the growth rate at earlier ages for males, while genetic variation was larger for asymptotic size and at later ages for females. Our results tend to show that there is more adaptive potential in the earlier ages for males and in the later ages for females, which seems to be linked to their different life-history strategies. They also suggest that climate might have a positive impact on the adaptive potential of growth, which remains to be confirmed.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Delayed dichromatism in waterfowl as a convenient tool for assessing vital rates 95%
- Identifying drivers of spatio-temporal variation in survival in four blue tit populations 95%
- Bimodal breeding phenology in the parsley frog Pelodytes punctatus as a bet-hedging strategy in an unpredictable environment despite strong priority effects 95%
Similar papers in this journal
Similar papers in this journal
- Evolution of phenotypic plasticity during environmental fluctuations 96%
- A path analysis disentangling determinants of natal dispersal in a cooperatively breeding bird 95%
- Within population plastic responses to combined thermal-nutritional stress differ from those in response to single stressors, and are genetically independent across traits in both males and females. 94%
Similar papers in this journal
- Investigating pedigree- and SNP-associated components of heritability in a wild population of Soay sheep 93%
- The role of maternal effects on offspring performance in familiar and novel environments 93%
- Population genetics reveals divergent lineages and ongoing hybridization in a declining migratory fish species complex 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.