Balancing selection on genomic deletion polymorphisms in humans

  1. Alber Aqil
  2. Leo Speidel
  3. Pavlos Pavlidis
  4. Omer Gokcumen  Is a corresponding author
  1. University at Buffalo, State University of New York, United States
  2. University College London, United Kingdom
  3. Foundation for Research and Technology Hellas, Greece

Abstract

A key question in biology is why genomic variation persists in a population for extended periods. Recent studies have identified examples of genomic deletions that have remained polymorphic in the human lineage for hundreds of millennia, ostensibly owing to balancing selection. Nevertheless, genome-wide investigation of ancient and possibly adaptive deletions remains imperative. Here, we demonstrate an excess of polymorphisms in present-day humans that predate the modern human-Neanderthal split (ancient polymorphisms), which cannot be explained solely by selectively neutral scenarios. We analyze the adaptive mechanisms that underlie this excess in deletion polymorphisms. Using a previously published measure of balancing selection, we show that this excess of ancient deletions is largely owing to balancing selection. Based on the absence of signatures of overdominance, we conclude that it is a rare mode of balancing selection among ancient deletions. Instead, more complex scenarios involving spatially and temporally variable selective pressures are likely more common mechanisms. Our results suggest that balancing selection resulted in ancient deletions harboring disproportionately more exonic variants with GWAS associations. We further found that ancient deletions are significantly enriched for traits related to metabolism and immunity. As a by-product of our analysis, we show that deletions are, on average, more deleterious than single-nucleotide variants. We can now argue that not only is a vast majority of common variants shared among human populations, but a considerable portion of biologically relevant variants has been segregating among our ancestors for hundreds of thousands, if not millions, of years.

Data availability

All data that are used in the study can be found publically. The references and databases are provided in the manuscript. The code and resulting datasets are all provided either through our laboratory's GitHub page, FigShare, or as supplementary tables.

The following data sets were generated
The following previously published data sets were used
    1. Neale et al
    (2018) UK Biobank - Curated
    https://docs.google.com/spreadsheets/d/1kvPoupSzsSFBNSztMzl04xMoSC3Kcx3CrjVf4yBmESU/edit#gid=227859291.
    1. Londsdale et al
    (2013) GTEX
    dbGaP accession number phs000424.vN.pN.

Article and author information

Author details

  1. Alber Aqil

    Department of Biological Sciences, University at Buffalo, State University of New York, Buffalo, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6784-6495
  2. Leo Speidel

    Genetics Institute, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Pavlos Pavlidis

    Institute of Computer Science (ICS), Foundation for Research and Technology Hellas, Heraklion, Greece
    Competing interests
    The authors declare that no competing interests exist.
  4. Omer Gokcumen

    Department of Biological Sciences, University at Buffalo, State University of New York, Buffalo, United States
    For correspondence
    gokcumen@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4371-679X

Funding

National Science Foundation (2123284)

  • Omer Gokcumen

Sir Henry Wellcome Fellowship (220457/Z/20/Z)

  • Leo Speidel

Wellcome Trust

  • Leo Speidel

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: This study investigated variation in previously published anonymized genome data from the 1000 Genomes Project.

Copyright

© 2023, Aqil et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 3,998
    views
  • 493
    downloads
  • 14
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Alber Aqil
  2. Leo Speidel
  3. Pavlos Pavlidis
  4. Omer Gokcumen
(2023)
Balancing selection on genomic deletion polymorphisms in humans
eLife 12:e79111.
https://doi.org/10.7554/eLife.79111

Share this article

https://doi.org/10.7554/eLife.79111

Further reading

    1. Evolutionary Biology
    Mattias Siljestam, Claus Rueffler
    Research Article Updated

    The majority of highly polymorphic genes are related to immune functions and with over 100 alleles within a population, genes of the major histocompatibility complex (MHC) are the most polymorphic loci in vertebrates. How such extraordinary polymorphism arose and is maintained is controversial. One possibility is heterozygote advantage (HA), which can in principle maintain any number of alleles, but biologically explicit models based on this mechanism have so far failed to reliably predict the coexistence of significantly more than 10 alleles. We here present an eco-evolutionary model showing that evolution can result in the emergence and maintenance of more than 100 alleles under HA if the following two assumptions are fulfilled: first, pathogens are lethal in the absence of an appropriate immune defence; second, the effect of pathogens depends on host condition, with hosts in poorer condition being affected more strongly. Thus, our results show that HA can be a more potent force in explaining the extraordinary polymorphism found at MHC loci than currently recognised.

    1. Ecology
    2. Evolutionary Biology
    Rebecca D Tarvin, Jeffrey L Coleman ... Richard W Fitch
    Research Article

    Understanding the origins of novel, complex phenotypes is a major goal in evolutionary biology. Poison frogs of the family Dendrobatidae have evolved the novel ability to acquire alkaloids from their diet for chemical defense at least three times. However, taxon sampling for alkaloids has been biased towards colorful species, without similar attention paid to inconspicuous ones that are often assumed to be undefended. As a result, our understanding of how chemical defense evolved in this group is incomplete. Here, we provide new data showing that, in contrast to previous studies, species from each undefended poison frog clade have measurable yet low amounts of alkaloids. We confirm that undefended dendrobatids regularly consume mites and ants, which are known sources of alkaloids. Thus, our data suggest that diet is insufficient to explain the defended phenotype. Our data support the existence of a phenotypic intermediate between toxin consumption and sequestration — passive accumulation — that differs from sequestration in that it involves no derived forms of transport and storage mechanisms yet results in low levels of toxin accumulation. We discuss the concept of passive accumulation and its potential role in the origin of chemical defenses in poison frogs and other toxin-sequestering organisms. In light of ideas from pharmacokinetics, we incorporate new and old data from poison frogs into an evolutionary model that could help explain the origins of acquired chemical defenses in animals and provide insight into the molecular processes that govern the fate of ingested toxins.