Evolution and implications of de novo genes in humans

被引:31
作者
Broeils, Luuk A. [1 ]
Ruiz-Orera, Jorge [2 ]
Snel, Berend [3 ]
Hubner, Norbert [2 ,4 ,5 ]
van Heesch, Sebastiaan [1 ]
机构
[1] Princess Maxima Ctr Pediat Oncol, Utrecht, Netherlands
[2] Max Delbruck Ctr Mol Med, Helmholtz Assoc MDC, Cardiovasc & Metab Sci, Berlin, Germany
[3] Univ Utrecht, Fac Sci, Dept Biol, Theoret Biol & Bioinformat, Utrecht, Netherlands
[4] Charite, Berlin, Germany
[5] DZHK German Ctr Cardiovasc Res, Partner Site Berlin, Berlin, Germany
关键词
OPEN READING FRAMES; DROSOPHILA-MELANOGASTER; CEREBRAL ORGANOIDS; HUMAN GENOME; ANNOTATION; TRANSLATION; INITIATION; DISCOVERY; MODELS; ORIGIN;
D O I
10.1038/s41559-023-02014-y
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
This Review discusses challenges with detection and characterization of de novo genes and their mechanism of origin, and includes a curated list of de novo genes reported for humans. Genes and translated open reading frames (ORFs) that emerged de novo from previously non-coding sequences provide species with opportunities for adaptation. When aberrantly activated, some human-specific de novo genes and ORFs have disease-promoting properties-for instance, driving tumour growth. Thousands of putative de novo coding sequences have been described in humans, but we still do not know what fraction of those ORFs has readily acquired a function. Here, we discuss the challenges and controversies surrounding the detection, mechanisms of origin, annotation, validation and characterization of de novo genes and ORFs. Through manual curation of literature and databases, we provide a thorough table with most de novo genes reported for humans to date. We re-evaluate each locus by tracing the enabling mutations and list proposed disease associations, protein characteristics and supporting evidence for translation and protein detection. This work will support future explorations of de novo genes and ORFs in humans.
引用
收藏
页码:804 / 815
页数:12
相关论文
共 136 条
[1]   Inverse relationship between evolutionary rate and age of mammalian genes [J].
Albà, MM ;
Castresana, J .
MOLECULAR BIOLOGY AND EVOLUTION, 2005, 22 (03) :598-606
[2]   De novo genes with an lncRNA origin encode unique human brain developmental functionality [J].
An, Ni A. A. ;
Zhang, Jie ;
Mo, Fan ;
Luan, Xuke ;
Tian, Lu ;
Shen, Qing Sunny ;
Li, Xiangshang ;
Li, Chunqiong ;
Zhou, Fanqi ;
Zhang, Boya ;
Ji, Mingjun ;
Qi, Jianhuan ;
Zhou, Wei-Zhen ;
Ding, Wanqiu ;
Chen, Jia-Yu ;
Yu, Jia ;
Zhang, Li ;
Shu, Shaokun ;
Hu, Baoyang ;
Li, Chuan-Yun .
NATURE ECOLOGY & EVOLUTION, 2023, 7 (02) :264-+
[3]   Non-AUG translation initiation in mammals [J].
Andreev, Dmitry E. ;
Loughran, Gary ;
Fedorova, Alla D. ;
Mikhaylova, Maria S. ;
Shatsky, Ivan N. ;
Baranov, Pavel, V .
GENOME BIOLOGY, 2022, 23 (01)
[4]   Estimating intrinsic structural preferences of de novo emerging random-sequence proteins: Is aggregation the main bottleneck? [J].
Angyan, Annamaria F. ;
Perczel, Andras ;
Gaspari, Zoltan .
FEBS LETTERS, 2012, 586 (16) :2468-2472
[5]   Extensive translation of small Open Reading Frames revealed by Poly-Ribo-Seq [J].
Aspden, Julie L. ;
Eyre-Walker, Ying Chen ;
Philips, Rose J. ;
Amin, Unum ;
Mumtaz, Muhammad Ali S. ;
Brocard, Michele ;
Couso, Juan Pablo .
ELIFE, 2014, 3 :1-19
[6]   De Novo Gene Evolution of Antifreeze Glycoproteins in Codfishes Revealed by Whole Genome Sequence Data [J].
Baalsrud, Helle Tessand ;
Torresen, Ole Kristian ;
Solbakken, Monica Hongro ;
Salzburger, Walter ;
Hanel, Reinhold ;
Jakobsen, Kjetill S. ;
Jentoft, Sissel .
MOLECULAR BIOLOGY AND EVOLUTION, 2018, 35 (03) :593-606
[7]   Dealing with the adaptive immune system during de novo evolution of genes from intergenic sequences [J].
Bekpen, Cemalettin ;
Xie, Chen ;
Tautz, Diethard .
BMC EVOLUTIONARY BIOLOGY, 2018, 18
[8]   GENE DISCOVERY IN DBEST [J].
BOGUSKI, MS ;
TOLSTOSHEV, CM ;
BASSETT, DE .
SCIENCE, 1994, 265 (5181) :1993-1994
[9]   Structure and function of naturally evolved de novo proteins [J].
Bornberg-Bauer, Erich ;
Hlouchova, Klara ;
Lange, Andreas .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 2021, 68 :175-183
[10]   High-Resolution View of the Yeast Meiotic Program Revealed by Ribosome Profiling [J].
Brar, Gloria A. ;
Yassour, Moran ;
Friedman, Nir ;
Regev, Aviv ;
Ingolia, Nicholas T. ;
Weissman, Jonathan S. .
SCIENCE, 2012, 335 (6068) :552-557