Literature DB >> 26517896

Emergence of de novo proteins from 'dark genomic matter' by 'grow slow and moult'.

Erich Bornberg-Bauer1, Jonathan Schmitz2, Magdalena Heberlein2.   

Abstract

Proteins are the workhorses of the cell and, over billions of years, they have evolved an amazing plethora of extremely diverse and versatile structures with equally diverse functions. Evolutionary emergence of new proteins and transitions between existing ones are believed to be rare or even impossible. However, recent advances in comparative genomics have repeatedly called some 10%-30% of all genes without any detectable similarity to existing proteins. Even after careful scrutiny, some of those orphan genes contain protein coding reading frames with detectable transcription and translation. Thus some proteins seem to have emerged from previously non-coding 'dark genomic matter'. These 'de novo' proteins tend to be disordered, fast evolving, weakly expressed but also rapidly assuming novel and physiologically important functions. Here we review mechanisms by which 'de novo' proteins might be created, under which circumstances they may become fixed and why they are elusive. We propose a 'grow slow and moult' model in which first a reading frame is extended, coding for an initially disordered and non-globular appendage which, over time, becomes more structured and may also become associated with other proteins.
© 2015 Authors; published by Portland Press Limited.

Entities:  

Keywords:  domain rearrangements; orphan genes; protein disorder; protein evolution

Mesh:

Substances:

Year:  2015        PMID: 26517896     DOI: 10.1042/BST20150089

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  13 in total

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Journal:  Mol Biol Evol       Date:  2018-03-01       Impact factor: 16.240

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.  Genomic reconfiguration in parasitic plants involves considerable gene losses alongside global genome size inflation and gene births.

Authors:  Peter Lyko; Susann Wicke
Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

Review 4.  Fact or fiction: updates on how protein-coding genes might emerge de novo from previously non-coding DNA.

Authors:  Jonathan F Schmitz; Erich Bornberg-Bauer
Journal:  F1000Res       Date:  2017-01-19

5.  High GC content causes orphan proteins to be intrinsically disordered.

Authors:  Walter Basile; Oxana Sachenkova; Sara Light; Arne Elofsson
Journal:  PLoS Comput Biol       Date:  2017-03-29       Impact factor: 4.475

6.  CompositeSearch: A Generalized Network Approach for Composite Gene Families Detection.

Authors:  Jananan Sylvestre Pathmanathan; Philippe Lopez; François-Joseph Lapointe; Eric Bapteste
Journal:  Mol Biol Evol       Date:  2018-01-01       Impact factor: 16.240

7.  De novo gene birth.

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

8.  Evolution of novel genes in three-spined stickleback populations.

Authors:  Jonathan F Schmitz; Frédéric J J Chain; Erich Bornberg-Bauer
Journal:  Heredity (Edinb)       Date:  2020-06-04       Impact factor: 3.821

9.  Evolutionary divergence of novel open reading frames in cichlids speciation.

Authors:  Shraddha Puntambekar; Rachel Newhouse; Jaime San-Miguel; Ruchi Chauhan; Grégoire Vernaz; Thomas Willis; Matthew T Wayland; Yagnesh Umrania; Eric A Miska; Sudhakaran Prabakaran
Journal:  Sci Rep       Date:  2020-12-09       Impact factor: 4.379

10.  A Comprehensive Analysis of Transcript-Supported De Novo Genes in Saccharomyces sensu stricto Yeasts.

Authors:  Tzu-Chiao Lu; Jun-Yi Leu; Wen-Chang Lin
Journal:  Mol Biol Evol       Date:  2017-11-01       Impact factor: 16.240

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