ArticleFrontiers in genetics2017
The Empirical Distribution of Singletons for Geographic Samples of DNA Sequences.
Article in Frontiers in genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Retrotransposed gene copies persist under relaxed selection in wild Spodoptera frugiperda.Molecular biology and evolution · 2026Article
- Geographic differentiation of ectoparasitic flatworms in the pelagic zone of Lake Tanganyika, Africa.Frontiers in zoology · 2026Article
- Identifying Single-Origin Rare Variants in Population Genomic Data.Molecular biology and evolution · 2025Article
- Next-generation data filtering in the genomics era.Nature reviews. Genetics · 2024Review
- Genetic erosion in domesticated barley and a hypothesis of a North African centre of diversity.Ecology and evolution · 2024Article
- Multidrug-resistant Stenotrophomonas maltophilia in residential aged care facilities: An emerging threat.MicrobiologyOpen · 2024Article
- Allopolyploid origin and diversification of the Hawaiian endemic mints.Nature communications · 2024Article
- Fonio millet genome unlocks African orphan crop diversity for agriculture in a changing climate.Nature communications · 2020Article
- Demographic history shaped geographical patterns of deleterious mutation load in a broadly distributed Pacific Salmon.PLoS genetics · 2020Article
- Multiple introductions and population structure during the rapid expansion of the invasive Sahara mustard (Ecology and evolution · 2019Article
- Yam genomics supports West Africa as a major cradle of crop domestication.Science advances · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rare variants are important for drawing inference about past demographic events in a species history. A singleton is a rare variant for which genetic variation is carried by a unique chromosome in a sample. How singletons are distributed across geographic space provides a local measure of genetic diversity that can be measured at the individual level. Here, we define the empirical distribution of singletons in a sample of chromosomes as the proportion of the total number of singletons that each chromosome carries, and we present a theoretical background for studying this distribution. Next, we use computer simulations to evaluate the potential for the empirical distribution of singletons to provide a description of genetic diversity across geographic space. In a Bayesian framework, we show that the empirical distribution of singletons leads to accurate estimates of the geographic origin of range expansions. We apply the Bayesian approach to estimating the origin of the cultivated plant species
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