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Hair phenotype diversity across Indriidae lemurs

<p><strong><span>Objectives: </span></strong><span>Hair (i.e., pelage/fur) is a salient feature of primate (including human) diversity and evolution—serving functions tied to thermoregulation, protection, camouflage, and signaling—but wild primate pelage evolution remains relatively understudied. Specifically, assessing multiple hypotheses across distinct phylogenetic scales is essential but is rarely conducted. We examine whole body hair color and density variation across Indriidae (<em>Avahi</em>, <em>Indri</em>, <em>Propithecus</em>)—a lineage that, like humans, exhibits vertical posture (i.e., their whole bodies are vertical to the sun).</span></p> <p><strong><span>Materials and Methods: </span></strong><span>Our analyses considers multiple phylogenetic scales (family-level, genus-level) and hypotheses (e.g., Gloger's rule, the body cooling hypotheses). We obtain hair color and density from museum and/or wild animals, opsin genotypes from wild animals, and climate data from WorldClim. To analyze our data, we use </span>phylogenetic generalized linear mixed models (PGLMM) using Markov chain Monte Carlo algorithms.</p> <p><strong><span>Results: </span></strong><span>Our results show that across the Indriidae family, darker hair is typical in wetter regions. However, within <em>Propithecus</em>, dark black hair is common in colder forest regions. Results also show pelage redness increases in populations exhibiting enhanced color vision. Lastly, we find follicle density on the crown and limbs increases in dry and open environments. </span></p> <p><strong><span>Discussion: </span></strong><span>This study highlights how different selective pressures across distinct phylogenetic scales have likely acted on primate hair evolution. Specifically, our data across <em>Propithecus</em> may implicate thermoregulation and is the first empirical evidence of Bogert's rule in mammals. Our study also provides rare empirical evidence supporting an early hypothesis on hominin hair evolution. </span></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
12
Access
12
Reuse readiness
0
Engagement
8

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