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Same father, same face: Deep learning reveals selection for signaling kinship in a wild primate.


ABSTRACT: Many animals rely on facial traits to recognize their kin; however, whether these traits have been selected specifically for this function remains unknown. Using deep learning for face recognition, we present the first evidence that interindividual facial resemblance has been selected to signal paternal kinship. Mandrills (Mandrillus sphinx) live in matrilineal societies, in which females spend their entire lives not only with maternal half-sisters (MHS) but also with paternal half-sisters (PHS). We show that PHS have more differentiated social relationships compared to nonkin, suggesting the existence of kin recognition mechanisms. We further demonstrate that facial resemblance increases with genetic relatedness. However, PHS resemble each other visually more than MHS do, despite both kin categories sharing similar degrees of genetic relatedness. This paternally derived facial resemblance among PHS indicates selection to facilitate kin recognition. This study also highlights the potential of artificial intelligence to study phenotypic evolution.

SUBMITTER: Charpentier MJE 

PROVIDER: S-EPMC7253159 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Same father, same face: Deep learning reveals selection for signaling kinship in a wild primate.

Charpentier M J E MJE   Harté M M   Poirotte C C   de Bellefon J Meric JM   Laubi B B   Kappeler P M PM   Renoult J P JP  

Science advances 20200527 22


Many animals rely on facial traits to recognize their kin; however, whether these traits have been selected specifically for this function remains unknown. Using deep learning for face recognition, we present the first evidence that interindividual facial resemblance has been selected to signal paternal kinship. Mandrills (<i>Mandrillus sphinx</i>) live in matrilineal societies, in which females spend their entire lives not only with maternal half-sisters (MHS) but also with paternal half-sister  ...[more]

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