ArticleBMC evolutionary biology2008
Bayesian inference of population size history from multiple loci.
Article in BMC evolutionary biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 255 papers.
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255 citing papers in PubMed.
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- Ancient Introgression Explains Mitochondrial Genome Capture and Mitonuclear Discordance Among South American Collared Tropidurus Lizards.Molecular ecology · 2025Article
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- Bayesian StairwayPlot for Inferring Single Population Demographic Histories From Site Frequency Spectra.Molecular ecology resources · 2025Article
- Genetic Population Structure and Distribution of the Small Giant ClamEcology and evolution · 2025Article
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- The influence of the forest corridors to the north of the Andes on the diversification of the bright-rumped Attila,Ecology and evolution · 2025Article
- Deep genetic divergences and few morphological changes support the cryptic speciation in Larimus breviceps (Sciaenidae, Acanthuriformes) from the western South Atlantic.Scientific reports · 2024Article
- Utility of various genome lengths in diversity and evolution analyses of Hepatitis E virus.Virus research · 2024Article
- Human Y chromosome haplogroup L1-M22 traces Neolithic expansion in West Asia and supports the Elamite and Dravidian connection.iScience · 2024Article
- Comparison of Bayesian Coalescent Skyline Plot Models for Inferring Demographic Histories.Molecular biology and evolution · 2024Article
- Ancient mitogenomes from Pre-Pottery Neolithic Central Anatolia and the effects of a Late Neolithic bottleneck in sheep (Science advances · 2024Article
- Ancient DNA indicates a century of overhunting did not reduce genetic diversity in Pacific Walruses (Odobenus rosmarus divergens).Scientific reports · 2024Article
195 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
backgroundEffective population size (Ne) is related to genetic variability and is a basic parameter in many models of population genetics. A number of methods for inferring current and past population sizes from genetic data have been developed since JFC Kingman introduced the n-coalescent in 1982. Here we present the Extended Bayesian Skyline Plot, a non-parametric Bayesian Markov chain Monte Carlo algorithm that extends a previous coalescent-based method in several ways, including the ability to analyze multiple loci.
resultsThrough extensive simulations we show the accuracy and limitations of inferring population size as a function of the amount of data, including recovering information about evolutionary bottlenecks. We also analyzed two real data sets to demonstrate the behavior of the new method; a single gene Hepatitis C virus data set sampled from Egypt and a 10 locus Drosophila ananassae data set representing 16 different populations.
conclusionThe results demonstrate the essential role of multiple loci in recovering population size dynamics. Multi-locus data from a small number of individuals can precisely recover past bottlenecks in population size which can not be characterized by analysis of a single locus. We also demonstrate that sequence data quality is important because even moderate levels of sequencing errors result in a considerable decrease in estimation accuracy for realistic levels of population genetic variability.
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