Data from: Genetic ancestry predicts male-female affiliation in a natural baboon hybrid zone


  • Opposite-sex social relationships are important predictors of fitness in many animals, including several group-living mammals. Consequently, understanding sources of variance in the tendency to form opposite-sex relationships is important for understanding social evolution. Genetic contributions are of particular interest due to their importance in long-term evolutionary change, but little is known about genetic effects on male-female relationships in social mammals, especially outside of the mating context. Here, we investigate the effects of genetic ancestry on male-female affiliative behavior in a hybrid zone between the yellow baboon (Papio cynocephalus) and the anubis baboon (P. anubis), in a population in which male-female social bonds are known predictors of lifespan. We place our analysis within the context of other social and demographic predictors of affiliative behavior in baboons. Genetic ancestry was the most consistent predictor of opposite-sex affiliative behavior we observed, with the exception of strong effects of dominance rank. Our results show that increased anubis genetic ancestry is associated with a subtle, but significantly higher probability of opposite-sex affiliative behavior, in both males and females. Additionally, pairs of anubis-like males and anubis-like females were the most likely to socially affiliate, resulting in moderate assortativity in grooming and proximity behavior as a function of genetic ancestry. Our findings indicate that opposite-sex affiliative behavior partially diverged during baboon evolution to differentiate yellow and anubis baboons, despite overall similarities in their social structures and mating systems. Further, they suggest that affiliative behavior may simultaneously promote and constrain baboon admixture, through additive and assortative effects of ancestry, respectively. ... [Read More]

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5 files (6.58 MB)
Data Citation
  • Fogel, A. S., McLean, E. M., Gordon, J. B., Archie, E. A., Tung, J., & Alberts, S. C. (2021). Data from: Genetic ancestry predicts male-female affiliation in a natural baboon hybrid zone. Duke Research Data Repository.
  • 10.7924/r4kp82d1z
Publication Date
  • ark:/87924/r4kp82d1z
Collection Dates
  • 1999-2015
  • Kenya, , Kenya
Related Materials
Funding Agency
  • National Institutes of Health
  • National Science Foundation
  • North Carolina Biotechnology Center
Grant Number
  • NIH R01AG053330
  • North Carolina Biotechnology Center 2016-IDG-1013
  • NSF GRFP DGE #1644868
  • NSF IOS 1456832
  • NIH T32GM007754
  • NIH R01HD088558
  • NIH P01AG031719
  • NSF IOS 1501971
  • NIH R01AG053308
  • Data from: Genetic ancestry predicts male-female affiliation in a natural baboon hybrid zone
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