CoChat
Sign Up
Cited by 458Evolution and Genetic DynamicsForensic and Genetic ResearchGenetic diversity and population structure

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

Widespread Genomic Signatures of Natural Selection in Hominid Evolution

Open access
McVicker, Graham, Gordon, David, Davis, Colleen, Green, Phil·2009·PLoS Genetics
DOI 10.1371/journal.pgen.1000471PMC PMC2669884
Open this paper in CoChat — free accountOpen PDF

Abstract

Selection acting on genomic functional elements can be detected by its indirect effects on population diversity at linked neutral sites. To illuminate the selective forces that shaped hominid evolution, we analyzed the genomic distributions of human polymorphisms and sequence differences among five primate species relative to the locations of conserved sequence features. Neutral sequence diversity in human and ancestral hominid populations is substantially reduced near such features, resulting in a surprisingly large genome average diversity reduction due to selection of 19-26% on the autosomes and 12-40% on the X chromosome. The overall trends are broadly consistent with "background selection" or hitchhiking in ancestral populations acting to remove deleterious variants. Average selection is much stronger on exonic (both protein-coding and untranslated) conserved features than non-exonic features. Long term selection, rather than complex speciation scenarios, explains the large intragenomic variation in human/chimpanzee divergence. Our analyses reveal a dominant role for selection in shaping genomic diversity and divergence patterns, clarify hominid evolution, and provide a baseline for investigating specific selective events.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pgen.1000471

Cites

80 of 80 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Species and populations analyzed. Ancestral effective population sizes, N, and interspeciation times in generations, T, were estimated by fitting a model of selection to five-primate sequence data (Table 1 contains all parameter estimates). Parameter values were calibrated by assuming human/chimpanzee speciation occurred 240,000 generations ago; a different calibration would multiply all values by a constant factor. The times between speciation in millions of years (MY) are shown in parentheses, assuming a constant generation time of 25 years. The old world monkey/great ape divergence time is older than suggested by the fossil record [82], but can potentially be explained by generation times that have increased during hominid evolution or a more recent human/chimpanzee speciation time than was used for calibration.
Figure 1 Species and populations analyzed. Ancestral effective population sizes, N, and interspeciation times in generations, T, were estimated by fitting a model of selection to five-primate sequence data (Table 1 contains all parameter estimates). Parameter values were calibrated by assuming human/chimpanzee speciation occurred 240,000 generations ago; a different calibration would multiply all values by a constant factor. The times between speciation in millions of years (MY) are shown in parentheses, assuming a constant generation time of 25 years. The old world monkey/great ape divergence time is older than suggested by the fossil record [82], but can potentially be explained by generation times that have increased during hominid evolution or a more recent human/chimpanzee speciation time than was used for calibration.CC BY · PubMed Central
Figure 2 Most genomic bases are near a conserved segment. Plots show the percentage of the genome that is within a given distance of a conserved segment (solid curve) or protein coding sequence (broken curve). (A) Physical distances. (B) Genetic distances according to a fine-scale recombination map [25].
Figure 2 Most genomic bases are near a conserved segment. Plots show the percentage of the genome that is within a given distance of a conserved segment (solid curve) or protein coding sequence (broken curve). (A) Physical distances. (B) Genetic distances according to a fine-scale recombination map [25].CC BY · PubMed Central
Figure 3 Human diversity, interspecies divergence and HG and CG sites are reduced near evolutionarily conserved segments. (A) Ratios calculated using the 10% of neutral sites which are nearest to and the 50% of neutral sites farthest away from conserved segments or exons. (B) The same ratios as (A) but normalized by human/macaque (H/M) divergence to account for mutation rate variation or undetected sites under purifying selection. The distance to the nearest conserved segment or exon was determined using four different measures: physical distance, pedigree-based recombination distance [26], polymorphism-based finescale recombination distance [25] and the background selection parameter, B. B (described in the main text) is not technically a distance measure but incorporates information about the recombination rate and local density of conserved segments. Autosomal human nucleotide diversity was calculated from gene-centric SeattleSNPs PGA/EGP [20], whole-genome Perlegen [19] data, and HapMap phase II data [67]. Divergence was estimated using autosomal human/chimp (H/C), human/macaque (H/M), or human/dog (H/D) genome sequence data. HG and CG sites (where human and gorilla or chimp and gorilla share a nucleotide that differs from the other three species) were calculated using a smaller set of 5-species autosomal data. Repetitive regions were omitted from the Perlegen and HapMap analyses; additional filtering steps are described in the methods. Whiskers are 95% confidence intervals.
Figure 3 Human diversity, interspecies divergence and HG and CG sites are reduced near evolutionarily conserved segments. (A) Ratios calculated using the 10% of neutral sites which are nearest to and the 50% of neutral sites farthest away from conserved segments or exons. (B) The same ratios as (A) but normalized by human/macaque (H/M) divergence to account for mutation rate variation or undetected sites under purifying selection. The distance to the nearest conserved segment or exon was determined using four different measures: physical distance, pedigree-based recombination distance [26], polymorphism-based finescale recombination distance [25] and the background selection parameter, B. B (described in the main text) is not technically a distance measure but incorporates information about the recombination rate and local density of conserved segments. Autosomal human nucleotide diversity was calculated from gene-centric SeattleSNPs PGA/EGP [20], whole-genome Perlegen [19] data, and HapMap phase II data [67]. Divergence was estimated using autosomal human/chimp (H/C), human/macaque (H/M), or human/dog (H/D) genome sequence data. HG and CG sites (where human and gorilla or chimp and gorilla share a nucleotide that differs from the other three species) were calculated using a smaller set of 5-species autosomal data. Repetitive regions were omitted from the Perlegen and HapMap analyses; additional filtering steps are described in the methods. Whiskers are 95% confidence intervals.CC BY · PubMed Central
Figure 4 Neutral divergence increases with recombination distance from conserved exonic segments. Divergence in putatively neutral sites was calculated for the human branch (black circles), chimpanzee branch (red squares) and outgroup macaque branch (blue diamonds) and binned by finescale recombination distance from exonic conserved segments. Divergence is presented as relative to that of the first bin. Fifty bins of equal numbers of sites were used. Vertical lines are 95% confidence intervals.
Figure 4 Neutral divergence increases with recombination distance from conserved exonic segments. Divergence in putatively neutral sites was calculated for the human branch (black circles), chimpanzee branch (red squares) and outgroup macaque branch (blue diamonds) and binned by finescale recombination distance from exonic conserved segments. Divergence is presented as relative to that of the first bin. Fifty bins of equal numbers of sites were used. Vertical lines are 95% confidence intervals.CC BY · PubMed Central
Figure 5 Divergence as a fraction of neutral divergence in conserved and neutral sites near conserved sites. We estimated human/chimp (H/C), human/macaque (H/M) and human/dog (H/D) divergence in exonic conserved segments (ex cons), non-exonic conserved segments (nex cons), fourfold degenerate (4D) sites (both neutral and conserved sites), and neutral segments within 100 bp of conserved segments using autosomal genomic alignments. These divergence estimates were then divided by the overall neutral divergence estimated from all autosomal neutral sites. The higher H/D divergence near conserved segments is likely an artefact of the Hidden Markov Model, which tends to terminate conserved segments at divergent bases (the dog sequence was used for conserved segment identification, but the human and macaque sequences were not). Whiskers are 95% confidence intervals.
Figure 5 Divergence as a fraction of neutral divergence in conserved and neutral sites near conserved sites. We estimated human/chimp (H/C), human/macaque (H/M) and human/dog (H/D) divergence in exonic conserved segments (ex cons), non-exonic conserved segments (nex cons), fourfold degenerate (4D) sites (both neutral and conserved sites), and neutral segments within 100 bp of conserved segments using autosomal genomic alignments. These divergence estimates were then divided by the overall neutral divergence estimated from all autosomal neutral sites. The higher H/D divergence near conserved segments is likely an artefact of the Hidden Markov Model, which tends to terminate conserved segments at divergent bases (the dog sequence was used for conserved segment identification, but the human and macaque sequences were not). Whiskers are 95% confidence intervals.CC BY · PubMed Central
Figure 6 Whole-genome neutral divergence and diversity show strong dependence on the estimated strength of background selection. (A) Human/chimpanzee divergence from whole-genome alignments for autosomes (black circles) and chromosome X (red squares) versus B (the portion of neutral diversity expected to remain after accounting for background selection). (B) Human nucleotide diversity from Seattle SNPs PGA/EGP [20] data versus B. (C) Human nucleotide diversity from Perlegen [19] data. Estimated diversity is much lower in the Perlegen dataset because it subsamples common variants [19]. Vertical lines are 95% confidence intervals (not visible in (A) because they are smaller than the plotting symbols). Note that although human diversity shows a clear linear relationship to B, a fitted line would not pass through the origin as it should if the 5-species estimates are applicable to recent human evolution. This likely reflects the sharp decrease in human effective population size relative to ancestral primate populations, which is expected to reduce the efficiency of selection on weakly deleterious mutations due to increased genetic drift [31].
Figure 6 Whole-genome neutral divergence and diversity show strong dependence on the estimated strength of background selection. (A) Human/chimpanzee divergence from whole-genome alignments for autosomes (black circles) and chromosome X (red squares) versus B (the portion of neutral diversity expected to remain after accounting for background selection). (B) Human nucleotide diversity from Seattle SNPs PGA/EGP [20] data versus B. (C) Human nucleotide diversity from Perlegen [19] data. Estimated diversity is much lower in the Perlegen dataset because it subsamples common variants [19]. Vertical lines are 95% confidence intervals (not visible in (A) because they are smaller than the plotting symbols). Note that although human diversity shows a clear linear relationship to B, a fitted line would not pass through the origin as it should if the 5-species estimates are applicable to recent human evolution. This likely reflects the sharp decrease in human effective population size relative to ancestral primate populations, which is expected to reduce the efficiency of selection on weakly deleterious mutations due to increased genetic drift [31].CC BY · PubMed Central
Figure 7 Selection can explain most large-scale regional variation in human/chimpanzee divergence and human diversity. (A) Observed (black line) and predicted H/C divergence across chromosome 1, from a background selection model that assumes a uniform mutation rate (red line) or a mutation rate that varies with local human/dog divergence (blue line). This plot was created with a 1 Mb sliding window with 0.5 Mb of overlap. (B) The distribution of estimated B values on autosomes (black line) and chromosome X (red line). Grey (autosomes) and pink (chromosome X) lines are distributions of B values from 100 bootstrap iterations. (C) Pairwise correlations (Spearman's rank squared) with regional human/chimpanzee (H/C) divergence and human diversity in non-overlapping 1 Mb windows across all autosomes. The same trends are observed across a wide range of window sizes (see Figure S6).Whiskers are 95% confidence intervals.
Figure 7 Selection can explain most large-scale regional variation in human/chimpanzee divergence and human diversity. (A) Observed (black line) and predicted H/C divergence across chromosome 1, from a background selection model that assumes a uniform mutation rate (red line) or a mutation rate that varies with local human/dog divergence (blue line). This plot was created with a 1 Mb sliding window with 0.5 Mb of overlap. (B) The distribution of estimated B values on autosomes (black line) and chromosome X (red line). Grey (autosomes) and pink (chromosome X) lines are distributions of B values from 100 bootstrap iterations. (C) Pairwise correlations (Spearman's rank squared) with regional human/chimpanzee (H/C) divergence and human diversity in non-overlapping 1 Mb windows across all autosomes. The same trends are observed across a wide range of window sizes (see Figure S6).Whiskers are 95% confidence intervals.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 80 references

Research works printed but not linked: 1

  1. M Galassi, 2006, GNU Scientific Library Reference Manual (2nd Ed.).

Cited by

Sorted by citations

Items 301–400 of 458

Related

See all

Metadata

Authors
McVicker, G., Gordon, D., Davis, C., & Green, P.
Affiliations
  • University of Washington (US)
  • Howard Hughes Medical Institute (US)
Corresponding author
  • McVicker, Graham
  • Green, Phil
ORCID
Venue
PLoS Genetics
Publisher
Public Library of Science (PLoS)
Published
2009-05-08
Volume
5
Issue
5
Pages
e1000471
ISSN
  • 1553-7390 (ISSN-L)
  • 1553-7404
DOI
10.1371/journal.pgen.1000471
PMC
PMC2669884
OpenAlex
W2032311106
Cited by
456
References
80
Citations by year
2026: 24 · 2025: 25 · 2024: 37 · 2023: 34 · 2022: 23 · 2021: 29 · 2020: 38 · 2019: 33 · 2018: 33 · 2017: 23 · 2016: 25 · 2015: 25 · 2014: 30 · 2013: 16 · 2012: 25
FWCI
11.83
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS Genetics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • Howard Hughes Medical Institute
  • Natural Sciences and Engineering Research Council of Canada
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
Keywords
natural selection, hominid evolution, human polymorphism, background selection, hitchhiking, X chromosome, human-chimpanzee divergence
MeSH terms
Animals, Pan troglodytes, Humans, Markov Chains, Models, Genetic, Primates, Recombination, Genetic, Selection, Genetic, X Chromosome, Hominidae, Genome, Human, Confidence Intervals, Likelihood Functions, Conserved Sequence, Evolution, Molecular, Polymorphism, Single Nucleotide, Chromosomes, Human, X

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review