Quantification and modeling of turnover dynamics of de novo transcripts in Drosophila melanogaster
© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research..
Most of the transcribed eukaryotic genomes are composed of non-coding transcripts. Among these transcripts, some are newly transcribed when compared to outgroups and are referred to as de novo transcripts. De novo transcripts have been shown to play a major role in genomic innovations. However, little is known about the rates at which de novo transcripts are gained and lost in individuals of the same species. Here, we address this gap and estimate the de novo transcript turnover rate with an evolutionary model. We use DNA long reads and RNA short reads from seven geographically remote samples of inbred individuals of Drosophila melanogaster to detect de novo transcripts that are gained on a short evolutionary time scale. Overall, each sampled individual contains around 2500 unspliced de novo transcripts, with most of them being sample specific. We estimate that around 0.15 transcripts are gained per year, and that each gained transcript is lost at a rate around 5× 10-5 per year. This high turnover of transcripts suggests frequent exploration of new genomic sequences within species. These rate estimates are essential to comprehend the process and timescale of de novo gene birth.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:52 |
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| Enthalten in: |
Nucleic acids research - 52(2024), 1 vom: 11. Jan., Seite 274-287 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Grandchamp, Anna [VerfasserIn] |
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Date Completed 25.01.2024 Date Revised 25.01.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1093/nar/gkad1079 |
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| Förderinstitution / Projekttitel: |
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| 245 | 1 | 0 | |a Quantification and modeling of turnover dynamics of de novo transcripts in Drosophila melanogaster |
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| 520 | |a © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. | ||
| 520 | |a Most of the transcribed eukaryotic genomes are composed of non-coding transcripts. Among these transcripts, some are newly transcribed when compared to outgroups and are referred to as de novo transcripts. De novo transcripts have been shown to play a major role in genomic innovations. However, little is known about the rates at which de novo transcripts are gained and lost in individuals of the same species. Here, we address this gap and estimate the de novo transcript turnover rate with an evolutionary model. We use DNA long reads and RNA short reads from seven geographically remote samples of inbred individuals of Drosophila melanogaster to detect de novo transcripts that are gained on a short evolutionary time scale. Overall, each sampled individual contains around 2500 unspliced de novo transcripts, with most of them being sample specific. We estimate that around 0.15 transcripts are gained per year, and that each gained transcript is lost at a rate around 5× 10-5 per year. This high turnover of transcripts suggests frequent exploration of new genomic sequences within species. These rate estimates are essential to comprehend the process and timescale of de novo gene birth | ||
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