Upstream open reading frames may contain hundreds of novel human exons

Several recent studies have presented evidence that the human gene catalogue should be expanded to include thousands of short open reading frames (ORFs) appearing upstream or downstream of existing protein-coding genes, each of which might create an additional bicistronic transcript in humans. Here we explore an alternative hypothesis that would explain the translational and evolutionary evidence for these upstream ORFs without the need to create novel genes or bicistronic transcripts. We examined 2,199 upstream ORFs that have been proposed as high-quality candidates for novel genes, to determine if they could instead represent protein-coding exons that can be added to existing genes. We checked for the conservation of these ORFs in four recently sequenced, high-quality human genomes, and found a large majority (87.8%) to be conserved in all four as expected. We then looked for splicing evidence that would connect each upstream ORF to the downstream protein-coding gene at the same locus, thus creating a novel splicing variant using the upstream ORF as its first exon. These protein coding exon candidates were further evaluated using protein structure predictions of the protein sequences that included the proposed new exons. We determined that 541 out of 2,199 upstream ORFs have strong evidence that they can form protein coding exons that are part of an existing gene, and that the resulting protein is predicted to have similar or better structural quality than the currently annotated isoform.

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Publication Details

Journal
PLoS Computational Biology
Published
2024-11-20
DOI
https://doi.org/10.1371/journal.pcbi.1012543
Citations
5
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
1.17

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article

Upstream open reading frames may contain hundreds of novel human exons

Steven L. Salzberg, Hyun Joo Ji
5 citations
PLoS Computational Biology
Genomics and Phylogenetic Studies
1.17
article

Upstream open reading frames may contain hundreds of novel human exons

Steven L. Salzberg, Hyun Joo Ji
article en
5 citations

Abstract

Several recent studies have presented evidence that the human gene catalogue should be expanded to include thousands of short open reading frames (ORFs) appearing upstream or downstream of existing protein-coding genes, each of which might create an additional bicistronic transcript in humans. Here we explore an alternative hypothesis that would explain the translational and evolutionary evidence for these upstream ORFs without the need to create novel genes or bicistronic transcripts. We examined 2,199 upstream ORFs that have been proposed as high-quality candidates for novel genes, to determine if they could instead represent protein-coding exons that can be added to existing genes. We checked for the conservation of these ORFs in four recently sequenced, high-quality human genomes, and found a large majority (87.8%) to be conserved in all four as expected. We then looked for splicing evidence that would connect each upstream ORF to the downstream protein-coding gene at the same locus, thus creating a novel splicing variant using the upstream ORF as its first exon. These protein coding exon candidates were further evaluated using protein structure predictions of the protein sequences that included the proposed new exons. We determined that 541 out of 2,199 upstream ORFs have strong evidence that they can form protein coding exons that are part of an existing gene, and that the resulting protein is predicted to have similar or better structural quality than the currently annotated isoform.

PLoS Computational BiologyVol. 20(11)
Johns Hopkins University (US), Johns Hopkins Medicine (US), University of Baltimore (US)
National Institutes of Health, National Institute of Mental Health, National Human Genome Research Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 21%
Genomics and Phylogenetic Studies
1.17
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Upstream open reading frames may contain hundreds of novel human exons — Steven L. Salzberg, Hyun Joo Ji · PLoS Computational Biology (2024) | TGRS Research Map | TGRS