scholarly journals Studying the dawn of de novo gene emergence in mice reveals fast integration of new genes into functional networks

2019 ◽  
Author(s):  
Chen Xie ◽  
Cemalettin Bekpen ◽  
Sven Künzel ◽  
Maryam Keshavarz ◽  
Rebecca Krebs-Wheaton ◽  
...  
Keyword(s):  
De Novo ◽  
Expression Patterns ◽  
Transcriptional Networks ◽  
Protein Coding ◽  
Protein Coding Genes ◽  
New Genes ◽  
De Novo Gene ◽  
Intergenic Sequences ◽  
Genomic Analyses ◽  
New Protein

AbstractThe de novo emergence of new transcripts has been well documented through genomic analyses. However, a functional analysis, especially of very young protein-coding genes, is still largely lacking. Here we focus on three loci that have evolved from previously intergenic sequences in the house mouse (Mus musculus) and are not present in its closest relatives. We have obtained knockouts and analyzed their phenotypes, including a deep transcriptomic analysis, based on a dedicated power analysis. We show that the transcriptional networks are significantly disturbed in the knockouts and that all three genes have effects on phenotypes that are related to their expression patterns. This includes behavioral effects, skeletal differences and the regulation of the reproduction cycle in females. Substitution analysis suggests that all three genes have directly obtained an activity, without new adaptive substitutions. Our findings support the hypothesis that de novo genes can quickly adopt functions without extensive adaptation.Impact statementNew protein-coding genes emerging out of non-coding sequences can become directly functional without signatures of adaptive protein changes

scholarly journals A de novo evolved gene in the house mouse regulates female pregnancy cycles

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Chen Xie ◽  
Cemalettin Bekpen ◽  
Sven Künzel ◽  
Maryam Keshavarz ◽  
Rebecca Krebs-Wheaton ◽  
...  
Keyword(s):  
House Mouse ◽  
De Novo ◽  
Specific Protein ◽  
Ribosome Profiling ◽  
Mass Spectrometry Data ◽  
Preimplantation Embryos ◽  
Protein Coding ◽  
Reading Frame ◽  
Protein Coding Genes ◽  
New Genes

The de novo emergence of new genes has been well documented through genomic analyses. However, a functional analysis, especially of very young protein-coding genes, is still largely lacking. Here, we identify a set of house mouse-specific protein-coding genes and assess their translation by ribosome profiling and mass spectrometry data. We functionally analyze one of them, Gm13030, which is specifically expressed in females in the oviduct. The interruption of the reading frame affects the transcriptional network in the oviducts at a specific stage of the estrous cycle. This includes the upregulation of Dcpp genes, which are known to stimulate the growth of preimplantation embryos. As a consequence, knockout females have their second litters after shorter times and have a higher infanticide rate. Given that Gm13030 shows no signs of positive selection, our findings support the hypothesis that a de novo evolved gene can directly adopt a function without much sequence adaptation.

scholarly journals De novoemergence of adaptive membrane proteins from thymine-rich intergenic sequences

2019 ◽  
Author(s):  
Nikolaos Vakirlis ◽  
Omer Acar ◽  
Brian Hsu ◽  
Nelson Castilho Coelho ◽  
S. Branden Van Oss ◽  
...  
Keyword(s):  
De Novo ◽  
Transmembrane Proteins ◽  
Protein Coding ◽  
Coding Sequences ◽  
Beneficial Effects ◽  
Protein Coding Genes ◽  
Evolutionary Innovation ◽  
Intergenic Sequences ◽  
Intergenic Regions ◽  
Novel Protein

SummaryRecent evidence demonstrates that novel protein-coding genes can arisede novofrom intergenic loci. This evolutionary innovation is thought to be facilitated by the pervasive translation of intergenic transcripts, which exposes a reservoir of variable polypeptides to natural selection. Do intergenic translation events yield polypeptides with useful biochemical capacities? The answer to this question remains controversial. Here, we systematically characterized howde novoemerging coding sequences impact fitness. In budding yeast, overexpression of these sequences was enriched in beneficial effects, while their disruption was generally inconsequential. We found that beneficial emerging sequences have a strong tendency to encode putative transmembrane proteins, which appears to stem from a cryptic propensity for transmembrane signals throughout thymine-rich intergenic regions of the genome. These findings suggest that novel genes with useful biochemical capacities, such as transmembrane domains, tend to evolvede novowithin intergenic loci that already harbored a blueprint for these capacities.

scholarly journals Testis single-cell RNA-seq reveals the dynamics of de novo gene transcription and germline mutational bias in Drosophila

2019 ◽  
Author(s):  
Evan Witt ◽  
Sigi Benjamin ◽  
Nicolas Svetec ◽  
Li Zhao
Keyword(s):  
Single Cell ◽  
De Novo ◽  
Gene Evolution ◽  
Expression Patterns ◽  
Reproductive Function ◽  
Cell Types ◽  
Mutational Bias ◽  
Evolutionary Innovation ◽  
New Genes ◽  
De Novo Gene

SummaryThe testis is a peculiar tissue in many respects. It shows patterns of rapid gene evolution and provides a hotspot for the origination of genetic novelties such as de novo genes, duplications and mutations. To investigate the expression patterns of genetic novelties across cell types, we performed single-cell RNA-sequencing of adult Drosophila testis. We found that new genes were expressed in various cell types, the patterns of which may be influenced by their mode of origination. In particular, lineage-specific de novo genes are commonly expressed in early spermatocytes, while young duplicated genes are often bimodally expressed. Analysis of germline substitutions suggests that spermatogenesis is a highly reparative process, with the mutational load of germ cells decreasing as spermatogenesis progresses. By elucidating the distribution of genetic novelties across spermatogenesis, this study provides a deeper understanding of how the testis maintains its core reproductive function while being a hotbed of evolutionary innovation.

scholarly journals De novo gene evolution: How do we transition from non-coding to coding?

2017 ◽  
Author(s):  
Jorge Ruiz-Orera ◽  
José Luis Villanueva-Cañas ◽  
William Blevins ◽  
M.Mar Albà
Keyword(s):  
De Novo ◽  
Gene Evolution ◽  
Neutral Evolution ◽  
Functional Protein ◽  
Protein Coding ◽  
Coding Sequences ◽  
Sequence Composition ◽  
Protein Coding Genes ◽  
Small Proteins ◽  
De Novo Gene

Recent years have witnessed the discovery of protein–coding genes which appear to have evolved de novo from previously non-coding sequences. This has changed the long-standing view that coding sequences can only evolve from other coding sequences. However, there are still many open questions regarding how new protein-coding sequences can arise from non-genic DNA. Two prerequisites for the birth of a new functional protein-coding gene are that the corresponding DNA fragment is transcribed and that it is also translated. Transcription is known to be pervasive in the genome, producing a large number of transcripts that do not correspond to conserved protein-coding genes, and which are usually annotated as long non-coding RNAs (lncRNA). Recently, sequencing of ribosome protected fragments (Ribo-Seq) has provided evidence that many of these transcripts actually translate small proteins. We have used mouse non-synonymous and synonymous variation data to estimate the strength of purifying selection acting on the translated open reading frames (ORFs). Whereas a subset of the lncRNAs are likely to actually be true protein-coding genes (and thus previously misclassified), the bulk of lncRNAs code for proteins which show variation patterns consistent with neutral evolution. We also show that the ORFs that have a more favorable, coding-like, sequence composition are more likely to be translated than other ORFs in lncRNAs. This study provides strong evidence that there is a large and ever-changing reservoir of lowly abundant proteins; some of these peptides may become useful and act as seeds for de novo gene evolution.

scholarly journals From de novo to ‘de nono’: most novel protein coding genes identified with phylostratigraphy represent old genes or recent duplicates

2018 ◽  
Author(s):  
Claudio Casola
Keyword(s):  
De Novo ◽  
Sequence Similarity ◽  
Gc Content ◽  
Protein Coding ◽  
Protein Coding Genes ◽  
Gene Sets ◽  
De Novo Genes ◽  
De Novo Gene ◽  
Similarity Searches ◽  
Novel Protein

AbstractThe evolution of novel protein-coding genes from noncoding regions of the genome is one of the most compelling evidence for genetic innovations in nature. One popular approach to identify de novo genes is phylostratigraphy, which consists of determining the approximate time of origin (age) of a gene based on its distribution along a species phylogeny. Several studies have revealed significant flaws in determining the age of genes, including de novo genes, using phylostratigraphy alone. However, the rate of false positives in de novo gene surveys, based on phylostratigraphy, remains unknown. Here, I re-analyze the findings from three studies, two of which identified tens to hundreds of rodent-specific de novo genes adopting a phylostratigraphy-centered approach. Most of the putative de novo genes discovered in these investigations are no longer included in recently updated mouse gene sets. Using a combination of synteny information and sequence similarity searches, I show that about 60% of the remaining 381 putative de novo genes share homology with genes from other vertebrates, originated through gene duplication, and/or share no synteny information with non-rodent mammals. These results led to an estimated rate of ∼12 de novo genes per million year in mouse. Contrary to a previous study (Wilson et al. 2017), I found no evidence supporting the preadaptation hypothesis of de novo gene formation. Nearly half of the de novo genes confirmed in this study are within older genes, indicating that co-option of preexisting regulatory regions and a higher GC content may facilitate the origin of novel genes.

scholarly journals Yeast de novo genes preferentially emerge from divergently transcribed, GC-rich intergenic regions

2017 ◽  
Author(s):  
Nikolaos Vakirlis N ◽  
Alex S Hebert ◽  
Dana A Opulente ◽  
Guillaume Achaz ◽  
Chris Todd Hittinger ◽  
...  
Keyword(s):  
Evolutionary Biology ◽  
De Novo ◽  
Genetic Network ◽  
Protein Coding ◽  
New Genes ◽  
Intergenic Sequences ◽  
Protein Functions ◽  
Intergenic Regions ◽  
Recombination Hot Spots ◽  
Remote Homologs

AbstractNew genes, with novel protein functions, can evolve “from scratch” out of intergenic sequences. These de novo genes can integrate the cell’s genetic network and drive important phenotypic innovations. Therefore, identifying de novo genes and understanding how the transition from noncoding to coding occurs are key problems in evolutionary biology. However, identifying de novo genes is a difficult task, hampered by the presence of remote homologs, fast evolving sequences and erroneously annotated protein coding genes. To overcome these limitations, we developed a procedure that handles the usual pitfalls in de novo gene identification and predicted the emergence of 703 de novo genes in 15 yeast species from two genera whose phylogeny spans at least 100 million years of evolution. We established that de novo gene origination is a widespread phenomenon in yeasts, only a few being ultimately maintained by selection. We validated 82 candidates, by providing new translation evidence for 25 of them through mass spectrometry experiments. We also unambiguously identified the mutations that enabled the transition from non-coding to coding for 30 Saccharomyces de novo genes. We found that de novo genes preferentially emerge next to divergent promoters in GC-rich intergenic regions where the probability of finding a fortuitous and transcribed ORF is the highest. We found a more than 3-fold enrichment of de novo genes at recombination hot spots, which are GC-rich and nucleosome-free regions, suggesting that meiotic recombination would be a major driving force of de novo gene emergence in yeasts.

scholarly journals New genes and functional innovation in mammals

2016 ◽  
Author(s):  
José Luis Villanueva-Cañas ◽  
Jorge Ruiz-Orera ◽  
M.Isabel Agea ◽  
Maria Gallo ◽  
David Andreu ◽  
...  
Keyword(s):  
De Novo ◽  
Gene Families ◽  
Specific Gene ◽  
Protein Coding ◽  
Evolutionary Innovation ◽  
New Genes ◽  
Recent Origin ◽  
Mammalian Genes ◽  
Genomic Regions ◽  
New Protein

ABSTRACTThe birth of genes that encode new protein sequences is a major source of evolutionary innovation. However, we still understand relatively little about how these genes come into being and which functions they are selected for. To address these questions we have obtained a large collection of mammalian-specific gene families that lack homologues in other eukaryotic groups. We have combined gene annotations and de novo transcript assemblies from 30 different mamalian species, obtaining about 6,000 gene families. In general, the proteins in mammalian-specific gene families tend to be short and depleted in aromatic and negatively charged residues. Proteins which arose early in mammalian evolution include milk and skin polypeptides, immune response components, and proteins involved in reproduction. In contrast, the functions of proteins which have a more recent origin remain largely unknown, despite the fact that these proteins also have extensive proteomics support. We identify several previously described cases of genes originated de novo from non-coding genomic regions, supporting the idea that this mechanism frequently underlies the evolution of new protein-coding genes in mammals. Finally, we show that most young mammalian genes are preferentially expressed in testis, suggesting that sexual selection plays an important role in the emergence of new functional genes.

scholarly journals New genes from non-coding sequence: the role of de novo protein-coding genes in eukaryotic evolutionary innovation

2015 ◽  
Vol 370 (1678) ◽  
pp. 20140332 ◽  
Author(s):  
Aoife McLysaght ◽  
Daniele Guerzoni
Keyword(s):  
De Novo ◽  
Complex Structure ◽  
Protein Coding ◽  
Functional Roles ◽  
Protein Coding Genes ◽  
Evolutionary Innovation ◽  
New Genes ◽  
De Novo Genes ◽  
Novel Protein

The origin of novel protein-coding genes de novo was once considered so improbable as to be impossible. In less than a decade, and especially in the last five years, this view has been overturned by extensive evidence from diverse eukaryotic lineages. There is now evidence that this mechanism has contributed a significant number of genes to genomes of organisms as diverse as Saccharomyces , Drosophila , Plasmodium , Arabidopisis and human. From simple beginnings, these genes have in some instances acquired complex structure, regulated expression and important functional roles. New genes are often thought of as dispensable late additions; however, some recent de novo genes in human can play a role in disease. Rather than an extremely rare occurrence, it is now evident that there is a relatively constant trickle of proto-genes released into the testing ground of natural selection. It is currently unknown whether de novo genes arise primarily through an ‘RNA-first’ or ‘ORF-first’ pathway. Either way, evolutionary tinkering with this pool of genetic potential may have been a significant player in the origins of lineage-specific traits and adaptations.

scholarly journals De novo gene evolution: How do we transition from non-coding to coding?

2017 ◽  
Author(s):  
Jorge Ruiz-Orera ◽  
José Luis Villanueva-Cañas ◽  
William Blevins ◽  
M.Mar Albà
Keyword(s):  
De Novo ◽  
Gene Evolution ◽  
Neutral Evolution ◽  
Functional Protein ◽  
Protein Coding ◽  
Coding Sequences ◽  
Sequence Composition ◽  
Protein Coding Genes ◽  
Small Proteins ◽  
De Novo Gene

Recent years have witnessed the discovery of protein–coding genes which appear to have evolved de novo from previously non-coding sequences. This has changed the long-standing view that coding sequences can only evolve from other coding sequences. However, there are still many open questions regarding how new protein-coding sequences can arise from non-genic DNA. Two prerequisites for the birth of a new functional protein-coding gene are that the corresponding DNA fragment is transcribed and that it is also translated. Transcription is known to be pervasive in the genome, producing a large number of transcripts that do not correspond to conserved protein-coding genes, and which are usually annotated as long non-coding RNAs (lncRNA). Recently, sequencing of ribosome protected fragments (Ribo-Seq) has provided evidence that many of these transcripts actually translate small proteins. We have used mouse non-synonymous and synonymous variation data to estimate the strength of purifying selection acting on the translated open reading frames (ORFs). Whereas a subset of the lncRNAs are likely to actually be true protein-coding genes (and thus previously misclassified), the bulk of lncRNAs code for proteins which show variation patterns consistent with neutral evolution. We also show that the ORFs that have a more favorable, coding-like, sequence composition are more likely to be translated than other ORFs in lncRNAs. This study provides strong evidence that there is a large and ever-changing reservoir of lowly abundant proteins; some of these peptides may become useful and act as seeds for de novo gene evolution.

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