DOI: 10.5061/dryad.7j908
title: Data from: Fine-scale kin recognition in the absence of social familiarity in the Siberian jay, a monogamous bird species

description: Kin recognition is a critical element to kin cooperation, and in
 vertebrates, it is primarily based on associative learning. Recognition of
 socially unfamiliar kin occurs rarely, and it is reported only in
 vertebrate species where promiscuity prevents recognition of first-order
 relatives. However, it is unknown whether the recognition of socially
 unfamiliar kin can evolve in monogamous species. Here, we investigate
 whether genetic relatedness modulates aggression among group members in
 Siberian jays (Perisoreus infaustus). This bird species is genetically and
 socially monogamous and lives in groups that are formed through the
 retention of offspring beyond independence, and the immigration of
 socially unfamiliar nonbreeders. Observations on feeders showed that
 genetic relatedness modulated aggression of breeders towards immigrants in
 a graded manner, in that they chased most intensely the immigrant group
 members that were genetically the least related. However, cross-fostering
 experiments showed that breeders were equally tolerant towards their own
 and cross-fostered young swapped as nestlings. Thus, breeders seem to use
 different mechanisms to recognize socially unfamiliar individuals and own
 offspring. As Siberian jays show a high degree of nepotism during foraging
 and predator encounters, inclusive fitness benefits may play a role for
 the evolution of fine-scale kin recognition. More generally, our results
 suggest that fine-graded kin recognition can evolve independently of
 social familiarity, highlighting the evolutionary importance of kin
 recognition for social species.
description: dispersal
 dataDispersal distance of
 immigrantsbetween group
 encountersrate of between group
 encounters during summerduration
 aggressionduration of
 displacements and chasing events (in seconds)used
 microsatellitesaggression own young
 crossfostered youngaggression of parents
 towards young crossfostered young during 30 minmicrosatellites genepop
 dataused microsatellites for
 analyses, genepop formatcoancestry relatedness
 simulationscoancestry relatedness
 simulations year 1999 and 2008-2009, simulation the relatendess of
 offspring and unrelated individualsR_scriptR-code of the main analysesmale vs non-breeders data-setring – non-breeder identity. breeder_ring – breeder identity. obstime – observation bout length: 15min, 30min. year – year of observation. sex – sex of non-breeder. breeder_age – age of breeder. age – age of non-breeder. kinship – kinship breeder vs non-breeder: kin (parent-offspring, non-kin: breeder-immigrant). groupsize – group size. NSI – nesting success index of territory (see Griesser et al. 2008). prop_um – proportion unmanaged forest on territory (see Griesser et al. 2006). displaced – number of displacements received during 30 min. chased - number of chasing events received during 30 min. submissive - number of times submissive behaviour is displayed during 30 min. TrioML - Trio maximum likelihood r estimator. Ritland - Ritland’s r estimator. DyadML - Dyad maximum likelihood r estimator. Wang_mb - Wang’s r estimator. LynchLi_mb - Lynch and Li’s r estimator. QuellerGt_mb - Queller and Goodnight’s r estimator. LynchRd - Lynch and Ritland’s r estimatormales.csvfemales vs non-breeders data-setring – non-breeder identity. breeder_ring – breeder identity. obstime – observation bout length: 15min, 30min. year – year of observation. sex – sex of non-breeder. breeder_age – age of breeder. age – age of non-breeder. kinship – kinship breeder vs non-breeder: kin (parent-offspring, non-kin: breeder-immigrant) groupsize – group size. NSI – nesting success index of territory (see Griesser et al. 2008). prop_um – proportion unmanaged forest on territory (see Griesser et al. 2006). displaced – number of displacements received during 30 min. chased - number of chasing events received during 30 min. submissive - number of times submissive behaviour is displayed during 30 min. TrioML - Trio maximum likelihood r estimator. Ritland - Ritland’s r estimator. DyadML - Dyad maximum likelihood r estimator. Wang_mb - Wang’s r estimator. LynchLi_mb - Lynch and Li’s r estimator. QuellerGt_mb - Queller and Goodnight’s r estimator. LynchRd - Lynch and Ritland’s r estimatorfemales.csv