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  Fast turnover of genome transcription across evolutionary time exposes entire non-coding DNA to de novo gene emergence

Neme, R., & Tautz, D. (2016). Fast turnover of genome transcription across evolutionary time exposes entire non-coding DNA to de novo gene emergence. eLife, 5: e09977. doi:10.7554/eLife.09977.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-C3D1-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-1F68-5
Genre: Journal Article

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 Creators:
Neme, Rafik1, Author              
Tautz, Diethard1, Author              
Affiliations:
1Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              

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Free keywords: evolutionary biology; genomics; mouse
 Abstract: Deep sequencing analyses have shown that a large fraction of genomes is transcribed, but the significance of this transcription is much debated. Here, we characterize the phylogenetic turnover of poly-adenylated transcripts in a comprehensive sampling of taxa of the mouse (genus Mus), spanning a phylogenetic distance of 10 Myr. Using deep RNA sequencing we find that at a given sequencing depth transcriptome coverage becomes saturated within a taxon, but keeps extending when compared between taxa, even at this very shallow phylogenetic level. Our data show a high turnover of transcriptional states between taxa and that no major transcript-free islands exist across evolutionary time. This suggests that the entire genome can be transcribed into poly-adenylated RNA when viewed at an evolutionary time scale. We conclude that any part of the non-coding genome can potentially become subject to evolutionary functionalization via de novo gene evolution within relatively short evolutionary time spans.

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Language(s): eng - English
 Dates: 2015-07-082016-02-012016-02-022016-02
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.7554/eLife.09977
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Project name : NewGenes
Grant ID : 322564
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 5 Sequence Number: e09977 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X