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Dryad

Data from: Evidence of low within-pair genetic relatedness in a relict population of Thorn-tailed Rayadito despite long-term isolation

Cite this dataset

Botero-Delgadillo, Esteban et al. (2023). Data from: Evidence of low within-pair genetic relatedness in a relict population of Thorn-tailed Rayadito despite long-term isolation [Dataset]. Dryad. https://doi.org/10.5061/dryad.qnk98sfjk

Abstract

Investigating whether mating patterns are biased in relation to kinship in isolated populations can provide a better understanding of the occurrence of inbreeding avoidance mechanisms in wild populations. Here we report on the genetic relatedness (r) among breeding pairs in a relict population of Thorn-tailed Rayadito (Aphrastura spinicauda) in north-central Chile that has experienced a long-term history of isolation. We used simulations based on eight years of data to assess whether mating is random with respect to relatedness. We found that mean and median population values of pair relatedness tended to be lower than randomly generated values, suggesting that mating is not random with respect to kinship. We hypothesize that female-biased dispersal is the main mechanism reducing the likelihood of mating among kin, and that the proportion of related pairs (i.e., r > 0.125) in the study population (25%) would presumably be higher in the absence of sex-biased dispersal. The occurrence of other mechanisms such as extra-pair copulations, delayed breeding and active inbreeding avoidance through kin discrimination cannot be dismissed and require further study.

Usage notes

All instructions regarding the dataset can be found in the ReadMe.txt file. Code for replicating all analyses is provided in the RelatedScript.txt and SimulationsScript.txt files.

Funding

Agencia Nacional de Investigación y Desarrollo, Award: PFB-23-CONICYT-Chile

Agencia Nacional de Investigación y Desarrollo, Award: AFB-170008-CONICYT-Chile

Agencia Nacional de Investigación y Desarrollo, Award: CONICYT-Chile 63130100

Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica, Award: 1100359

Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica, Award: 1140548

Iniciativa Científica Milenio ICM, Award: ICM-P05-002

University of Chile, Award: Facultad de Ciencias PAIFAC 2019

Max Planck Society