Cited by 129Chromosomal and Genetic VariationsGenomics and Phylogenetic StudiesGenome Rearrangement Algorithms

Comparative Genomics Search for Losses of Long-Established Genes on the Human Lineage

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Zhu, Jingchun, Sanborn, J. Zachary, Diekhans, Mark, Lowe, Craig B, Pringle, Tom H, Haussler, David·2007·PLoS Computational Biology

Abstract

Taking advantage of the complete genome sequences of several mammals, we developed a novel method to detect losses of well-established genes in the human genome through syntenic mapping of gene structures between the human, mouse, and dog genomes. Unlike most previous genomic methods for pseudogene identification, this analysis is able to differentiate losses of well-established genes from pseudogenes formed shortly after segmental duplication or generated via retrotransposition. Therefore, it enables us to find genes that were inactivated long after their birth, which were likely to have evolved nonredundant biological functions before being inactivated. The method was used to look for gene losses along the human lineage during the approximately 75 million years (My) since the common ancestor of primates and rodents (the euarchontoglire crown group). We identified 26 losses of well-established genes in the human genome that were all lost at least 50 My after their birth. Many of them were previously characterized pseudogenes in the human genome, such as GULO and UOX. Our methodology is highly effective at identifying losses of single-copy genes of ancient origin, allowing us to find a few well-known pseudogenes in the human genome missed by previous high-throughput genome-wide studies. In addition to confirming previously known gene losses, we identified 16 previously uncharacterized human pseudogenes that are definitive losses of long-established genes. Among them is ACYL3, an ancient enzyme present in archaea, bacteria, and eukaryotes, but lost approximately 6 to 8 Mya in the ancestor of humans and chimps. Although losses of well-established genes do not equate to adaptive gene losses, they are a useful proxy to use when searching for such genetic changes. This is especially true for adaptive losses that occurred more than 250,000 years ago, since any genetic evidence of the selective sweep indicative of such an event has been erased.

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  • Previous studies that comprehensively discovered and characterized genes lost in humans and related primates were limited to the human genome or involved manual curation, which prevents a large-scale application to many other species.

    “Previous studies that comprehensively discovered and characterized genes that are lost in humans and related primates were limited to the human genome19 or involved manual curation13,22, which prevents a large-scale application to many other species.”

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Cited by

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Authors
Zhu, J., Sanborn, J. Z., Diekhans, M., Lowe, C. B., Pringle, T. H., & Haussler, D.
Affiliations
  • University of California, Santa Cruz (US)
  • Howard Hughes Medical Institute (US)
Corresponding author
Haussler, David
Venue
PLoS Computational Biology
Published
2007-12-14
Volume
3
Issue
12
Pages
e247
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W2048385877
Cited by
129
References
9
Citations by year
2026: 6 · 2025: 6 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 18 · 2020: 10 · 2019: 5 · 2018: 8 · 2017: 5 · 2016: 7 · 2015: 6 · 2014: 7 · 2013: 6 · 2012: 9
FWCI
3.35
Type
journal article
Language
en
Open access
Locations
  • PLoS Computational Biology (publishedVersion, public-domain)
  • PLoS Computational Biology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, public-domain)
  • PubMed Central (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • Howard Hughes Medical Institute
  • National Institutes of Health (n01co12400-79-0-22, NO1-CO12400)
  • National Human Genome Research Institute
  • National Cancer Institute (CO-12400, N01CO12400, N01-CO-012400, NO1‐CO‐12400)
  • National Institute of General Medical Sciences (T32GM070386)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
Keywords
gene loss, pseudogenes, comparative genomics, syntenic mapping, human lineage, mouse genome, dog genome, segmental duplication, retrotransposition, selective sweeps
MeSH terms
Animals, Chromosome Mapping, DNA Mutational Analysis, Dogs, Biological Evolution, Humans, Pseudogenes, Genetic Variation, Genome, Human, Gene Deletion, Evolution, Molecular, Genomics, Mice

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