How antisense transcripts can evolve to encode novel proteins

Bharat Ravi Iyengar (), Anna Grandchamp and Erich Bornberg-Bauer
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Bharat Ravi Iyengar: University of Münster
Anna Grandchamp: University of Münster
Erich Bornberg-Bauer: University of Münster

Nature Communications, 2024, vol. 15, issue 1, 1-11

Abstract: Abstract Protein coding features can emerge de novo in non coding transcripts, resulting in emergence of new protein coding genes. Studies across many species show that a large fraction of evolutionarily novel non-coding RNAs have an antisense overlap with protein coding genes. The open reading frames (ORFs) in these antisense RNAs could also overlap with existing ORFs. In this study, we investigate how the evolution an ORF could be constrained by its overlap with an existing ORF in three different reading frames. Using a combination of mathematical modeling and genome/transcriptome data analysis in two different model organisms, we show that antisense overlap can increase the likelihood of ORF emergence and reduce the likelihood of ORF loss, especially in one of the three reading frames. In addition to rationalising the repeatedly reported prevalence of de novo emerged genes in antisense transcripts, our work also provides a generic modeling and an analytical framework that can be used to understand evolution of antisense genes.

Date: 2024
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DOI: 10.1038/s41467-024-50550-3

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