henhaobio
Sign in

GenesGenomicsPeer-reviewed journal article

New genomic signals underlying the emergence of human proto-genes

Anna GrandchampiD, Katrin BerkiD, Elias DohmeniD, Erich Bornberg‐BaueriD

PDFDOIPreprint

Abstract

De novo genes are novel genes which emerge from non-coding DNA. Until now, little is known about de novo genes properties, correlated to their age and mechanisms of emergence. In this study, we investigate four properties: introns, upstream regulatory motifs, 5 UTRs and protein domains, in 23135 human proto-genes. We found that proto-genes contain introns, whose number and position correlates with the genomic position of proto-gene emergence. The origin of these introns is debated, as our result suggest that 41% proto-genes might have captured existing introns, as well as the fact that 13.7% of them do not splice the ORF. We show that proto-genes which emerged via overprinting tend to be more enriched in core promotor motifs, while intergenic and intronic ones are more enriched in enhancers, even if the motif TATA is most expressed upstream these genes. Intergenic and intronic 5 UTRs of protogenes have a lower potential to stabilise mRNA structures than exonic proto-genes and established human genes. Finally, we confirm that proto-genes gain new putative domains with age. Overall, we find that regulatory motifs inducing transcription and translation of previously non-coding sequences may facilitate proto-gene emergence. Our paper demonstrates that introns, 5UTRs, and domains have specific properties in proto-genes. We also show the importance of studying proto-genes in relation to their genomic position, as it strongly impacts these properties.

Citations
24
FWCI
2.89
Field percentile
top 10%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGrandchamp '23uz-Zaman '23Fuqua '26Talkish '19Lebherz '23Schmitz '17
60% semantic matchGenomics
Anna Grandchamp, Lucas Kühl, Marie Kristin Lebherz+3 more·Genome Research·Jun 1, 2023· 27 citations