ReviewNature reviews. Genetics2026
Emergence and evolution of protein-coding de novo genes.
Review in Nature reviews. Genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Review
- Local translation couples synaptic activity to mitochondrial adaptation in dendrites.bioRxiv : the preprint server for biology · 2026Article
- Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026Review
- A Reassessment of Positive Growth Effects of Expressed Random Sequence Clones in E. coli Suggests Direct Adaptive Functions.Genome biology and evolution · 2026Article
- Genetic origins and constraints of evolutionary innovation.Nature reviews. Genetics · 2026Article
- Evolutionary and functional constraints structure human gene research visibility.BMC genomics · 2026Article
- Orthologs of an essential orphan gene vary in their capacities for function and subcellular localization in Drosophila melanogaster.Molecular biology and evolution · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
De novo genes generally refer to genes that arise from previously non-coding sequences. This evolutionary path - when randomly expressed sequences become folded and active proteins - challenges our understanding of genetic innovation and has prompted studies to address the evolutionary and mechanistic knowledge gaps. More specifically, prior work has illuminated the mechanisms underlying the origin of de novo genes, their potential functional roles in the cell and the evolutionary processes that lead to these functions. Recent advances in both experimental and computational approaches have contributed to insights into the emergence of de novo genes and the broader implications for our understanding of biological complexity. In this Review, we place particular emphasis on efforts to quantify the likelihood of de novo gene emergence in eukaryotes given genomic characteristics, as well as the mechanisms by which de novo protein structures that are not actively selected against become amenable to selection-driven changes.
Indexed as
Identifiers
41606234What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.