Literature DB >> 30201962

Incipient de novo genes can evolve from frozen accidents that escaped rapid transcript turnover.

Jonathan F Schmitz1, Kristian K Ullrich2, Erich Bornberg-Bauer3.   

Abstract

A recent surge of studies have suggested that many novel genes arise de novo from previously noncoding DNA and not by duplication. However, most studies concentrated on longer evolutionary time scales and rarely considered protein structural properties. Therefore, it remains unclear how these properties are shaped by evolution, depend on genetic mechanisms and influence gene survival. Here we compare open reading frames (ORFs) from high coverage transcriptomes from mouse and another four mammals covering 160 million years of evolution. We find that novel ORFs pervasively emerge from noncoding regions but are rapidly lost again, while relatively fewer arise from the divergence of coding sequences but are retained much longer. We also find that a subset (14%) of the mouse-specific ORFs bind ribosomes and are potentially translated, showing that such ORFs can be the starting points of gene emergence. Surprisingly, disorder and other protein properties of young ORFs hardly change with gene age in short time frames. Only length and nucleotide composition change significantly. Thus, some transcribed de novo genes resemble 'frozen accidents' of randomly emerged ORFs that survived initial purging. This perspective complies with very recent studies indicating that some neutrally evolving transcripts containing random protein sequences may be translated and be viable starting points of de novo gene emergence.

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Year:  2018        PMID: 30201962     DOI: 10.1038/s41559-018-0639-7

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  19 in total

1.  Multiple Pristionchus pacificus genomes reveal distinct evolutionary dynamics between de novo candidates and duplicated genes.

Authors:  Neel Prabh; Christian Rödelsperger
Journal:  Genome Res       Date:  2022-05-26       Impact factor: 9.438

2.  Heterologous expression of naturally evolved putative de novo proteins with chaperones.

Authors:  Lars A Eicholt; Margaux Aubel; Katrin Berk; Erich Bornberg-Bauer; Andreas Lange
Journal:  Protein Sci       Date:  2022-08       Impact factor: 6.993

3.  Foster thy young: enhanced prediction of orphan genes in assembled genomes.

Authors:  Jing Li; Urminder Singh; Priyanka Bhandary; Jacqueline Campbell; Zebulun Arendsee; Arun S Seetharam; Eve Syrkin Wurtele
Journal:  Nucleic Acids Res       Date:  2022-04-22       Impact factor: 19.160

4.  A putative de novo evolved gene required for spermatid chromatin condensation in Drosophila melanogaster.

Authors:  Emily L Rivard; Andrew G Ludwig; Prajal H Patel; Anna Grandchamp; Sarah E Arnold; Alina Berger; Emilie M Scott; Brendan J Kelly; Grace C Mascha; Erich Bornberg-Bauer; Geoffrey D Findlay
Journal:  PLoS Genet       Date:  2021-09-03       Impact factor: 5.917

5.  From De Novo to "De Nono": The Majority of Novel Protein-Coding Genes Identified with Phylostratigraphy Are Old Genes or Recent Duplicates.

Authors:  Claudio Casola
Journal:  Genome Biol Evol       Date:  2018-11-01       Impact factor: 3.416

6.  De novo gene birth.

Authors:  Stephen Branden Van Oss; Anne-Ruxandra Carvunis
Journal:  PLoS Genet       Date:  2019-05-23       Impact factor: 5.917

7.  De Novo, Divergence, and Mixed Origin Contribute to the Emergence of Orphan Genes in Pristionchus Nematodes.

Authors:  Neel Prabh; Christian Rödelsperger
Journal:  G3 (Bethesda)       Date:  2019-07-09       Impact factor: 3.154

8.  A de novo evolved gene in the house mouse regulates female pregnancy cycles.

Authors:  Chen Xie; Cemalettin Bekpen; Sven Künzel; Maryam Keshavarz; Rebecca Krebs-Wheaton; Neva Skrabar; Kristian Karsten Ullrich; Diethard Tautz
Journal:  Elife       Date:  2019-08-22       Impact factor: 8.140

9.  A Continuum of Evolving De Novo Genes Drives Protein-Coding Novelty in Drosophila.

Authors:  Brennen Heames; Jonathan Schmitz; Erich Bornberg-Bauer
Journal:  J Mol Evol       Date:  2020-04-07       Impact factor: 2.395

10.  Enhancers Facilitate the Birth of De Novo Genes and Gene Integration into Regulatory Networks.

Authors:  Paco Majic; Joshua L Payne
Journal:  Mol Biol Evol       Date:  2020-04-01       Impact factor: 16.240

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