Fine-scale genetic assessment of sex-specific dispersal patterns in a multilevel primate society

Städele, Veronika; Doren, Vanessa E. Van; Pines, Mathew; Swedell, Larissa; Vigilant, Linda

doi:10.1016/j.jhevol.2014.10.019

Cited by 43 publications

(62 citation statements)

References 78 publications

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“…; Band 1, Städele et al. ). In addition to identifying misclassifications, the inclusion of nonautosomal marker data can further improve the resolution of kinship analyses.…”

Section: The Value Of Nonautosomal Marker Data and Demographic Informmentioning

confidence: 99%

“…; Li and Merilä ; Städele et al. ). However, it is often interesting to know whether a certain variable is dependent on relatedness, such as whether more closely related individuals are in closer spatial proximity, have more similar phenotypes, or more often show certain dyadic behaviors.…”

Section: Alternatives To Determining Pedigree Kinshipmentioning

confidence: 99%

“…Dyads of unrelated individuals (black), half siblings (green), and full siblings (blue) genotyped at 23 autosomal microsatellite loci were simulated in KINGROUP v2 using allele frequencies of a band of hamadryas baboons (Band 1, Städele et al. ). Tables indicate the percentage of true classifications (bold), misclassifications, and unclassified dyads.…”

Section: Identifying the Other Types Of Kinmentioning

confidence: 99%

“…Reduction in misclassification rates for 1000 randomized sets of 1000 dyads using the mt DNA and Y‐haplotype frequencies and X‐linked microsatellite allele frequencies of a social group of hamadryas baboons, Papio hamadryas (Band 1, Städele et al. ). Vertical lines indicate the range, horizontal lines indicate the standard deviation, and circles show the average.…”

Section: The Value Of Nonautosomal Marker Data and Demographic Informmentioning

confidence: 99%

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Strategies for determining kinship in wild populations using genetic data

Städele

Vigilant

2016

Ecology and Evolution

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Knowledge of kin relationships between members of wild animal populations has broad application in ecology and evolution research by allowing the investigation of dispersal dynamics, mating systems, inbreeding avoidance, kin recognition, and kin selection as well as aiding the management of endangered populations. However, the assessment of kinship among members of wild animal populations is difficult in the absence of detailed multigenerational pedigrees. Here, we first review the distinction between genetic relatedness and kinship derived from pedigrees and how this makes the identification of kin using genetic data inherently challenging. We then describe useful approaches to kinship classification, such as parentage analysis and sibship reconstruction, and explain how the combined use of marker systems with biparental and uniparental inheritance, demographic information, likelihood analyses, relatedness coefficients, and estimation of misclassification rates can yield reliable classifications of kinship in groups with complex kin structures. We outline alternative approaches for cases in which explicit knowledge of dyadic kinship is not necessary, but indirect inferences about kinship on a group‐ or population‐wide scale suffice, such as whether more highly related dyads are in closer spatial proximity. Although analysis of highly variable microsatellite loci is still the dominant approach for studies on wild populations, we describe how the long‐awaited use of large‐scale single‐nucleotide polymorphism and sequencing data derived from noninvasive low‐quality samples may eventually lead to highly accurate assessments of varying degrees of kinship in wild populations.

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“…; Band 1, Städele et al. ). In addition to identifying misclassifications, the inclusion of nonautosomal marker data can further improve the resolution of kinship analyses.…”

Section: The Value Of Nonautosomal Marker Data and Demographic Informmentioning

confidence: 99%

Section: Alternatives To Determining Pedigree Kinshipmentioning

confidence: 99%

Section: Identifying the Other Types Of Kinmentioning

confidence: 99%

Section: The Value Of Nonautosomal Marker Data and Demographic Informmentioning

confidence: 99%

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Strategies for determining kinship in wild populations using genetic data

Städele

Vigilant

2016

Ecology and Evolution

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“…There is often a stronger genetic structure in females than in males because of increased relatedness among spatially close individuals (e.g., for wild boars Sus scrofa , Podgórski, Scandura, & Jedrzejewska, 2014). Although socially mediated fine‐scale spatial genetic structure has been well characterized in various mammalian societies that exhibit stable social bonds (e.g., Hazlitt et al., 2004 in brush‐tailed rock‐wallabies Petrogale penicillata , Städele et al., 2015 in hamadryas baboons Papio hamadryas ), studies are still scarce on species where group structure can be quite loose and characterized by fission–fusion dynamics, such as the large herbivores (but see Coltman et al., 2003 for Soay sheep Ovis aries , Archie et al., 2008 for African elephants Loxodonta africana ).…”

Section: Introductionmentioning

confidence: 99%

Introduction history overrides social factors in explaining genetic structure of females in Mediterranean mouflon

Portanier

Garel

Devillard

et al. 2017

Ecology and Evolution

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Fine‐scale spatial genetic structure of populations results from social and spatial behaviors of individuals such as sex‐biased dispersal and philopatry. However, the demographic history of a given population can override such socio‐spatial factors in shaping genetic variability when bottlenecks or founder events occurred in the population. Here, we investigated whether socio‐spatial organization determines the fine‐scale genetic structure for both sexes in a Mediterranean mouflon (Ovis gmelini musimon × Ovis sp.) population in southern France 60 years after its introduction. Based on multilocus genotypes at 16 loci of microsatellite DNA (n = 230 individuals), we identified three genetic groups for females and two for males, and concurrently defined the same number of socio‐spatial units using both GPS‐collared individuals (n = 121) and visual resightings of marked individuals (n = 378). The socio‐spatial and genetic structures did not match, indicating that the former was not the main driver of the latter for both sexes. Beyond this structural mismatch, we found significant, yet low, genetic differentiation among female socio‐spatial groups, and no genetic differentiation in males, with this suggesting female philopatry and male‐biased gene flow, respectively. Despite spatial disconnection, females from the north of the study area were genetically closer to females from the south, as indicated by the spatial analysis of the genetic variability, and this pattern was in accordance with the common genetic origin of their founders. To conclude, more than 14 generations later, genetic signatures of first introduction are not only still detectable among females, but they also represent the main factor shaping their present‐time genetic structure.

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Population genetic insights into the social organization of Guinea baboons (Papio papio): Evidence for female‐biased dispersal

Kopp

Fischer

Patzelt

et al. 2015

American J Primatol

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Sex differences in philopatry and dispersal have important consequences on the genetic structure of populations, social groups, and social relationships within groups. Among mammals, male dispersal and female philopatry are most common and closely related taxa typically exhibit similar dispersal patterns. However, among four well-studied species of baboons, only hamadryas baboons exhibit female dispersal, thus differing from their congenerics, which show female philopatry and close-knit female social relationships. Until recently, knowledge of the Guinea baboon social system and dispersal pattern remained sparse. Previous observations suggested that the high degree of tolerance observed among male Guinea baboons could be due to kinship. This led us to hypothesize that this species exhibits male philopatry and female dispersal, conforming to the hamadryas pattern. We genotyped 165 individuals from five localities in the Niokolo-Koba National Park, Senegal, at 14 autosomal microsatellite loci and sequenced a fragment of the mitochondrial hypervariable region I (HVRI) of 55 individuals. We found evidence for higher population structuring in males than in females, as expected if males are the more philopatric sex. A comparison of relatedness between male–male and female–female dyads within and among communities did not yield conclusive results. HVRI diversity within communities was high and did not differ between the sexes, also suggesting female gene flow. Our study is the first comprehensive analysis of the genetic population structure in Guinea baboons and provides evidence for female-biased dispersal in this species. In conjunction with their multilevel social organization, this finding parallels the observations for human hunter-gatherers and strengthens baboons as an intriguing model to elucidate the processes that shaped the highly cooperative societies of Homo. Am. J. Primatol. 77:878–889, 2015. © 2015 The Authors. American Journal of Primatology Published by Wiley Periodicals Inc.

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Fine-scale genetic assessment of sex-specific dispersal patterns in a multilevel primate society

Cited by 43 publications

References 78 publications

Strategies for determining kinship in wild populations using genetic data

Strategies for determining kinship in wild populations using genetic data

Introduction history overrides social factors in explaining genetic structure of females in Mediterranean mouflon

Population genetic insights into the social organization of Guinea baboons (Papio papio): Evidence for female‐biased dispersal

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