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Taking identity-by-descent analysis into the wild: Estimating realized relatedness in free-ranging macaques.
Freudiger, Annika; Jovanovic, Vladimir M; Huang, Yilei; Snyder-Mackler, Noah; Conrad, Donald F; Miller, Brian; Montague, Michael J; Westphal, Hendrikje; Stadler, Peter F; Bley, Stefanie; Horvath, Julie E; Brent, Lauren J N; Platt, Michael L; Ruiz-Lambides, Angelina; Tung, Jenny; Nowick, Katja; Ringbauer, Harald; Widdig, Anja.
Afiliação
  • Freudiger A; Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany.
  • Jovanovic VM; Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
  • Huang Y; Human Biology and Primate Evolution, Institut für Zoologie, Freie Universität Berlin, Berlin, Germany.
  • Snyder-Mackler N; Bioinformatics Solution Center, Freie Universität Berlin, Berlin, Germany.
  • Conrad DF; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
  • Miller B; Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
  • Montague MJ; Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, USA.
  • Westphal H; Division of Genetics, Oregon National Primate Research Center, Portland, Oregon, USA.
  • Stadler PF; Division of Genetics, Oregon National Primate Research Center, Portland, Oregon, USA.
  • Bley S; Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Horvath JE; Behavioral Ecology Research Group, Faculty of Life Sciences, Institute of Biology, Leipzig University, Leipzig, Germany.
  • Brent LJN; Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
  • Platt ML; Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
  • Ruiz-Lambides A; Bioinformatics Group, Institute of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
  • Tung J; Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany.
  • Nowick K; Institute for Theoretical Chemistry, University of Vienna, Austria.
  • Ringbauer H; Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia.
  • Widdig A; Santa Fe Institute, Santa Fe, NM, USA.
bioRxiv ; 2024 Jan 11.
Article em En | MEDLINE | ID: mdl-38260273
ABSTRACT
Biological relatedness is a key consideration in studies of behavior, population structure, and trait evolution. Except for parent-offspring dyads, pedigrees capture relatedness imperfectly. The number and length of DNA segments that are identical-by-descent (IBD) yield the most precise estimates of relatedness. Here, we leverage novel methods for estimating locus-specific IBD from low coverage whole genome resequencing data to demonstrate the feasibility and value of resolving fine-scaled gradients of relatedness in free-living animals. Using primarily 4-6× coverage data from a rhesus macaque (Macaca mulatta) population with available long-term pedigree data, we show that we can call the number and length of IBD segments across the genome with high accuracy even at 0.5× coverage. The resulting estimates demonstrate substantial variation in genetic relatedness within kin classes, leading to overlapping distributions between kin classes. They identify cryptic genetic relatives that are not represented in the pedigree and reveal elevated recombination rates in females relative to males, which allows us to discriminate maternal and paternal kin using genotype data alone. Our findings represent a breakthrough in the ability to understand the predictors and consequences of genetic relatedness in natural populations, contributing to our understanding of a fundamental component of population structure in the wild.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article