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  3. Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences

Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences

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DOI
10.7892/boris.120988
Publisher DOI
10.7554/eLife.36317
Abstract
Disentangling the effect on genomic diversity of natural selection from that of demography is notoriously difficult, but necessary to properly reconstruct the history of species. Here, we use high-quality human genomic data to show that purifying selection at linked sites (i.e. background selection, BGS) and GC-biased gene conversion (gBGC) together affect as much as 95% of the variants of our genome. We find that the magnitude and relative importance of BGS and gBGC are largely determined by variation in recombination rate and base composition. Importantly, synonymous sites and non-transcribed regions are also affected, albeit to different degrees. Their use for demographic inference can lead to strong biases. However, by conditioning on genomic regions with recombination rates above 1.5 cM/Mb and mutation types (C !G, A !T), we identify a set of SNPs that is mostly unaffected by BGS or gBGC, and that avoids these biases in the reconstruction of human history.
Date Issued
2018-08-23
Publication Type
Article
Subject(s)
500 Science > 570 Life sciences; biology
Language(s)
en
Author(s)
Pouyet, Fanny Anne-Laure  
Institut für Ökologie und Evolution (IEE)  
Aeschbacher, Simon  
Institut für Ökologie und Evolution (IEE)  
Thiéry, Alexandre Benoit Xavier  
Institut für Ökologie und Evolution (IEE)  
Excoffier, Laurent  orcid-logo
Institut für Ökologie und Evolution (IEE)  
Additional Credits
Institut für Ökologie und Evolution (IEE)  
Journal
eLife
Publisher
eLife Sciences Publications
ISSN
2050-084X
Access(Rights)
open.access
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