Phylogenetically controlled life history trait meta-analysis in cetaceans reveals unexpected negative brain size and longevity correlation.
Nikita E GrootRochelle ConstantineEllen C GarlandEmma L CarrollPublished in: Evolution; international journal of organic evolution (2022)
The identification of patterns in trait evolution is essential to understand the interaction of evolutionary forces, and provides useful information for species management. Cetaceans are a phylogenetically well-resolved infraorder that exhibit distinct trait variation across behavioral, molecular, and life history dimensions, yet few researchers have applied a meta-analytic or comparative approach to these traits. To understand cetacean trait evolution, we used a phylogenetic generalized least squares approach to examine the cognitive buffer hypothesis (CBH). A large brain should buffer individuals against environmental challenges through increasing survival rates, and a longer lifespan should buffer individuals against the cost of extended development for larger brains according to the CBH, leading to an expected positive correlation between brain size and lifespan. In contrast to this expectation, previously observed in taxa including primates, we found a negative correlation between brain size and lifespan in cetaceans. This suggests cetaceans experience selective pressures different from most other mammals in these traits but may be more similar to some social mammalian carnivores that display alloparenting. We also provide a comprehensive dataset to explore additional aspects of trait evolution but which would greatly benefit from studies on behavioral ecology across cetaceans and increased focus on data deficient species.
Keyphrases
- genome wide
- resting state
- white matter
- systematic review
- dna methylation
- functional connectivity
- cerebral ischemia
- magnetic resonance
- multiple sclerosis
- mental health
- gene expression
- machine learning
- computed tomography
- brain injury
- electronic health record
- subarachnoid hemorrhage
- health information
- big data
- free survival
- deep learning
- contrast enhanced