Non-crossover gene conversions show strong GC bias and unexpected clustering in humans

  1. Amy L Williams  Is a corresponding author
  2. Giulio Genovese
  3. Thomas Dyer
  4. Nicolas Altemose
  5. Katherine Truax
  6. Goo Jun
  7. Nick Patterson
  8. Simon R Myers
  9. Joanne E Curran
  10. Ravi Duggirala
  11. John Blangero
  12. David Reich
  13. Molly Przeworski
  14. for the T2D-GENES Consortium
  1. Cornell University, United States
  2. Broad Institute of Harvard and MIT, United States
  3. Texas Biomedical Research Institute, United States
  4. Oxford University, United Kingdom
  5. University of Michigan, United States
  6. Columbia University, United States

Abstract

Although the past decade has seen tremendous progress in our understanding of fine-scale recombination, little is known about non-crossover (NCO) gene conversion. We report the first genome-wide study of NCO events in humans. Using SNP array data from 98 meioses, we identified 103 sites affected by NCO, of which 50/52 were confirmed in sequence data. Overlap with double strand break (DSB) hotspots indicates that most of the events are likely of meiotic origin. We estimate that a site is involved in a NCO at a rate of 5.9×10-6/bp/generation, consistent with sperm-typing studies, and infer that tract lengths span at least an order of magnitude. Observed NCO events show strong allelic bias at heterozygous AT/GC SNPs, with 68% (58-78%) transmitting GC alleles (P=5×10-4). Strikingly, in 4 of 15 regions with resequencing data, multiple disjoint NCO tracts cluster in close proximity (~20-30 kb), a phenomenon not previously seen in mammals.

Article and author information

Author details

  1. Amy L Williams

    Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, United States
    For correspondence
    awilliams@cornell.edu
    Competing interests
    No competing interests declared.
  2. Giulio Genovese

    Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, United States
    Competing interests
    No competing interests declared.
  3. Thomas Dyer

    Department of Genetics, Texas Biomedical Research Institute, San Antonio, United States
    Competing interests
    No competing interests declared.
  4. Nicolas Altemose

    Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  5. Katherine Truax

    Department of Genetics, Texas Biomedical Research Institute, San Antonio, United States
    Competing interests
    No competing interests declared.
  6. Goo Jun

    Department of Biostatistics, University of Michigan, Ann Arbor, United States
    Competing interests
    No competing interests declared.
  7. Nick Patterson

    Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, United States
    Competing interests
    No competing interests declared.
  8. Simon R Myers

    Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, United Kingdom
    Competing interests
    No competing interests declared.
  9. Joanne E Curran

    Department of Genetics, Texas Biomedical Research Institute, San Antonio, United States
    Competing interests
    No competing interests declared.
  10. Ravi Duggirala

    Department of Genetics, Texas Biomedical Research Institute, San Antonio, United States
    Competing interests
    No competing interests declared.
  11. John Blangero

    Department of Genetics, Texas Biomedical Research Institute, San Antonio, United States
    Competing interests
    No competing interests declared.
  12. David Reich

    Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, United States
    Competing interests
    No competing interests declared.
  13. Molly Przeworski

    Department of Biological Sciences, Columbia University, New York, United States
    Competing interests
    Molly Przeworski, Reviewing editor, eLife.

Ethics

Human subjects: Institutional review board exemption was given for this study from the Broad Institute of Harvard and MIT and the Texas Biomedical Research Institute. The analysis was entirely conducted using anonymous identifiers.

Copyright

© 2015, Williams 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

  • 3,763
    views
  • 639
    downloads
  • 97
    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. Amy L Williams
  2. Giulio Genovese
  3. Thomas Dyer
  4. Nicolas Altemose
  5. Katherine Truax
  6. Goo Jun
  7. Nick Patterson
  8. Simon R Myers
  9. Joanne E Curran
  10. Ravi Duggirala
  11. John Blangero
  12. David Reich
  13. Molly Przeworski
  14. for the T2D-GENES Consortium
(2015)
Non-crossover gene conversions show strong GC bias and unexpected clustering in humans
eLife 4:e04637.
https://doi.org/10.7554/eLife.04637

Share this article

https://doi.org/10.7554/eLife.04637

Further reading

    1. Chromosomes and Gene Expression
    2. Neuroscience
    Robyn D Moir, Emilio Merheb ... Ian M Willis
    Research Article

    Pathogenic variants in subunits of RNA polymerase (Pol) III cause a spectrum of Polr3-related neurodegenerative diseases including 4H leukodystrophy. Disease onset occurs from infancy to early adulthood and is associated with a variable range and severity of neurological and non-neurological features. The molecular basis of Polr3-related disease pathogenesis is unknown. We developed a postnatal whole-body mouse model expressing pathogenic Polr3a mutations to examine the molecular mechanisms by which reduced Pol III transcription results primarily in central nervous system phenotypes. Polr3a mutant mice exhibit behavioral deficits, cerebral pathology and exocrine pancreatic atrophy. Transcriptome and immunohistochemistry analyses of cerebra during disease progression show a reduction in most Pol III transcripts, induction of innate immune and integrated stress responses and cell-type-specific gene expression changes reflecting neuron and oligodendrocyte loss and microglial activation. Earlier in the disease when integrated stress and innate immune responses are minimally induced, mature tRNA sequencing revealed a global reduction in tRNA levels and an altered tRNA profile but no changes in other Pol III transcripts. Thus, changes in the size and/or composition of the tRNA pool have a causal role in disease initiation. Our findings reveal different tissue- and brain region-specific sensitivities to a defect in Pol III transcription.

    1. Biochemistry and Chemical Biology
    2. Chromosomes and Gene Expression
    Ting-Wen Chen, Hsiao-Wei Liao ... Chung-Te Chang
    Research Article

    The mRNA 5'-cap structure removal by the decapping enzyme DCP2 is a critical step in gene regulation. While DCP2 is the catalytic subunit in the decapping complex, its activity is strongly enhanced by multiple factors, particularly DCP1, which is the major activator in yeast. However, the precise role of DCP1 in metazoans has yet to be fully elucidated. Moreover, in humans, the specific biological functions of the two DCP1 paralogs, DCP1a and DCP1b, remain largely unknown. To investigate the role of human DCP1, we generated cell lines that were deficient in DCP1a, DCP1b, or both to evaluate the importance of DCP1 in the decapping machinery. Our results highlight the importance of human DCP1 in decapping process and show that the EVH1 domain of DCP1 enhances the mRNA-binding affinity of DCP2. Transcriptome and metabolome analyses outline the distinct functions of DCP1a and DCP1b in human cells, regulating specific endogenous mRNA targets and biological processes. Overall, our findings provide insights into the molecular mechanism of human DCP1 in mRNA decapping and shed light on the distinct functions of its paralogs.