4.6 Article

The estimates of effective population size based on linkage disequilibrium are virtually unaffected by natural selection

期刊

PLOS GENETICS
卷 18, 期 1, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pgen.1009764

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资金

  1. MCIN/AEI [PID2020-114426GB-C21]
  2. Xunta de Galicia [ED431C 2020-05]
  3. Centro singular de investigacion de Galicia accreditation 2019-2022
  4. European Union (European Regional Development Fund - ERDF)
  5. Fondos Feder Unha maneira de facer Europa
  6. Ministerio de Ciencia, Innovacion y Universidades (Spain) [FPU18/04642]

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The study explores the impact of selection and recombination rate heterogeneity on the estimation of historical Ne, indicating that NeLD mainly reflects demographic changes in population size across generations and is not affected by selection.
The effective population size (Ne) is a key parameter to quantify the magnitude of genetic drift and inbreeding, with important implications in human evolution. The increasing availability of high-density genetic markers allows the estimation of historical changes in Ne across time using measures of genome diversity or linkage disequilibrium between markers. Directional selection is expected to reduce diversity and Ne, and this reduction is modulated by the heterogeneity of the genome in terms of recombination rate. Here we investigate by computer simulations the consequences of selection (both positive and negative) and recombination rate heterogeneity in the estimation of historical Ne. We also investigate the relationship between diversity parameters and Ne across the different regions of the genome using human marker data. We show that the estimates of historical Ne obtained from linkage disequilibrium between markers (NeLD) are virtually unaffected by selection. In contrast, those estimates obtained by coalescence mutation-recombination-based methods can be strongly affected by it, which could have important consequences for the estimation of human demography. The simulation results are supported by the analysis of human data. The estimates of NeLD obtained for particular genomic regions do not correlate, or they do it very weakly, with recombination rate, nucleotide diversity, proportion of polymorphic sites, background selection statistic, minor allele frequency of SNPs, loss of function and missense variants and gene density. This suggests that NeLD measures mainly reflect demographic changes in population size across generations.

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