@article {316570,
	title = {The evolution of eccrine sweat glands in human and nonhuman primates},
	volume = {117},
	year = {2018},
	month = {04/2018},
	pages = {33 - 43},
	abstract = {<p>Sweating is an unusual thermoregulatory strategy for most mammals, yet is critical for humans. This trait is commonly hypothesized to result from human ancestors moving from a forest to a warmer and drier open environment. As soft tissue traits do not typically fossilize, this idea has been difficult to test. Therefore, we used a comparative approach to examine 15 eccrine gland traits from 35 primate species. For each trait we measured phylogenetic signal, tested three evolutionary models to explain trait variation, and used phylogenetic models to examine how traits varied in response to climate variables. Phylogenetic signal in traits varied substantially, with the two traits exhibiting the highest values being gland distribution on the body and percent eccrine vs. apocrine glands on the body. Variation in most traits was best explained by an Ornstein-Uhlenbeck model suggesting the importance of natural selection. Two traits were strongly predicted by climate. First, species with high eccrine gland glycogen content were associated with habitats exhibiting warm temperatures and low rainfall. Second, species with increased capillarization were associated with high temperature. Glycogen is a primary energy substrate powering sweat production and sodium reabsorption in the eccrine gland, and increased capillarization permits greater oxygen, glucose and electrolyte delivery. Thus, our results are evidence of natural selection for increased sweating capacity in primate species with body surface eccrine glands living in hot and dry climates. We suggest that selection for increased glycogen content and capillarization may have been part of initial increases in hominin thermoregulatory sweating capacity.</p>
},
	keywords = {Eccrine, hominin evolution, Phylogeny, thermoregulation, Trait evolution},
	isbn = {0047-2484},
	doi = {https://doi.org/10.1016/j.jhevol.2017.12.003},
	url = {http://www.sciencedirect.com/science/article/pii/S0047248417303652},
	author = {Best, Andrew and Kamilar, Jason M.}
}
