ArticleGenetics2011
The joint effects of background selection and genetic recombination on local gene genealogies.
Article in Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- A model of Hill-Robertson interference caused by purifying selection in a nonrecombining genome.Genetics · 2025Article
- Hill-Robertson interference may bias the inference of fitness effects of new mutations in highly selfing species.Evolution; international journal of organic evolution · 2025Article
- Detection of domestication signals through the analysis of the full distribution of fitness effects.Peer community journal · 2025Article
- Hill-Robertson interference may bias the inference of fitness effects of new mutations in highly selfing species.bioRxiv : the preprint server for biology · 2024Article
- Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection.Molecular biology and evolution · 2024Article
- On the prospect of achieving accurate joint estimation of selection with population history.Genome biology and evolution · 2022Article
- Article
- Drivers of linkage disequilibrium across a species' geographic range.PLoS genetics · 2021Article
- A Study of Faster-Z Evolution in the Great Tit (Parus major).Genome biology and evolution · 2020Article
- Impact of demography on linked selection in two outcrossing Brassicaceae species.Ecology and evolution · 2019Article
- The Effects on Neutral Variability of Recurrent Selective Sweeps and Background Selection.Genetics · 2019Article
- Article
- Article
- Coalescent-Based Analyses of Genomic Sequence Data Provide a Robust Resolution of Phylogenetic Relationships among Major Groups of Gibbons.Molecular biology and evolution · 2018Article
- Background selection as null hypothesis in population genomics: insights and challenges fromPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
- Inference of the Distribution of Selection Coefficients for New Nonsynonymous Mutations Using Large Samples.Genetics · 2017Article
- On the importance of skewed offspring distributions and background selection in virus population genetics.Heredity · 2016Review
- Integrating the signatures of demic expansion and archaic introgression in studies of human population genomics.Current opinion in genetics & development · 2016Review
- Article
- Detecting recent selective sweeps while controlling for mutation rate and background selection.Molecular ecology · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background selection, the effects of the continual removal of deleterious mutations by natural selection on variability at linked sites, is potentially a major determinant of DNA sequence variability. However, the joint effects of background selection and genetic recombination on the shape of the neutral gene genealogy have proved hard to study analytically. The only existing formula concerns the mean coalescent time for a pair of alleles, making it difficult to assess the importance of background selection from genome-wide data on sequence polymorphism. Here we develop a structured coalescent model of background selection with recombination and implement it in a computer program that efficiently generates neutral gene genealogies for an arbitrary sample size. We check the validity of the structured coalescent model against forward-in-time simulations and show that it accurately captures the effects of background selection. The model produces more accurate predictions of the mean coalescent time than the existing formula and supports the conclusion that the effect of background selection is greater in the interior of a deleterious region than at its boundaries. The level of linkage disequilibrium between sites is elevated by background selection, to an extent that is well summarized by a change in effective population size. The structured coalescent model is readily extendable to more realistic situations and should prove useful for analyzing genome-wide polymorphism data.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.