Man Luo1
Yunpeng Cao- 1School of Health and Nursing, Wuchang University of Technology, Wuhan, China
- 2Guangxi Gaofeng State Owned Forest Farm, Nanning, China
- 3Guangxi Colleges and Universities Key Laboratory for Cultivation and Utilization of Subtropical Forest Plantation, College of Forestry, Guangxi University, Nanning, China
- 4Guangxi Key Laboratory of Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, China
Introduction
The emergence of novel genes represents a fundamental mechanism driving evolutionary innovation and adaptive evolution in living organisms (Xia et al., 2025). For decades, the prevailing paradigm in molecular evolution has held that new genes arise primarily through duplication and divergence of existing genes, horizontal gene transfer, or recombination events such as gene fusion and fission (Cao et al., 2024; Jiang et al., 2025; Xia et al., 2025). However, rapid advances in high-throughput sequencing and multi-species genomic data reveal that de novo genes (i.e. protein-coding genes arising from previously noncoding DNA) are far more common than once believed, fundamentally challenging the view that genetic novelty must originate solely from preexisting gene templates (Song et al., 2022; Cao et al., 2024; Xia et al., 2025). Initially considered evolutionary rarities or anomalies, de novo genes have now been identified across all domains of life, from bacteria to plants and animals (Broeils et al., 2023; Cao et al., 2024; Peng and Zhao, 2024; Xia et al., 2025). Plants, in particular, present an ideal system for studying de novo gene origination due to their expansive genomes, abundant non-coding regions, and high transposable element content, which collectively provide a rich substrate for the birth of novel genes (Xia et al., 2025). Recent large-scale comparative genomic studies have revealed that plant genomes harbor hundreds of lineage-specific genes lacking detectable homologs in closely related species, many of which show clear evidence of de novo origination from ancestral non-coding sequences (Song et al., 2022; Cao et al., 2024). The molecular signatures of plant de novo genes reveal intriguing patterns: they typically encode shorter proteins, lack recognizable conserved domains, and are enriched in intrinsically disordered regions (Song et al., 2022; Cao et al., 2024). While these features might appear suboptimal from a traditional protein evolution perspective, they may actually facilitate rapid functional exploration and adaptation to novel cellular contexts. Expression analyses consistently show that plant de novo genes exhibit highly restricted spatiotemporal patterns, often being activated only during specific developmental stages, in particular tissues, or in response to environmental stresses—suggesting fine-tuned regulatory roles in adaptive responses (Song et al., 2022; Cao et al., 2024). Population genetic evidence increasingly supports the functional importance of de novo genes in plant adaptation (Cao et al., 2024; Zhao et al., 2024; Li et al., 2025). Several well-characterized examples demonstrate their contributions to key biological processes: the rice OsDR10 gene confers pathogen resistance (Xiao et al., 2009), the Arabidopsis AtQQS gene regulates carbon-nitrogen metabolism and enhances disease resistance (Qi et al., 2019), Rosa SCREP regulates eugenol biosynthesis (Li et al., 2025), and numerous other de novo genes have been implicated in stress tolerance, reproductive success, and developmental regulation (Zhao et al., 2024). These discoveries underscore that de novo genes are not merely evolutionary noise but can provide substantive adaptive benefits. Despite major advances in de novo gene research, key challenges persist, including the need for high-quality genome assemblies, complex phylogenetic analyses, and multi-level functional validation for accurate identification, as well as the difficulty of distinguishing true de novo origins from rapid sequence divergence that obscures homology (Xia et al., 2025). Moreover, determining the functional significance of putative de novo genes and understanding how they integrate into existing gene regulatory networks represent ongoing scientific frontiers. This opinion article examines current understanding of de novo gene origination mechanisms in plants, evaluates methodological advances and limitations, and discusses implications for plant evolution and potential applications in crop improvement.
The current understanding and methodological advances in plant de novo gene studies
Mechanisms of origination: genome architecture and the role of transposable elements
Plant genomes provide an exceptionally fertile ground for de novo gene origination due to their unique architectural features. Large-scale comparative genomic analyses across diverse plant lineages reveal that extensive noncoding regions, comprising up to 85% of some plant genomes, harbor abundant cryptic open reading frames that can potentially evolve into functional genes (Zhao et al., 2024; Xia et al., 2025). This vast noncoding landscape, combined with frequent whole-genome duplications and chromosomal rearrangements characteristic of plant evolution, creates numerous opportunities for the emergence of novel coding sequences (Zhao et al., 2024; Xia et al., 2025). Transposable elements (TEs) play a particularly crucial role as catalysts for de novo gene birth in plants (Jin et al., 2021b; Zhao et al., 2024; Xia et al., 2025). Recent evidence demonstrates that TEs, which constitute 45-85% of many plant genomes, actively facilitate gene origination through multiple mechanisms (Jiang et al., 2022; Pulido and Casacuberta, 2023; Cao et al., 2025). First, TE insertions can directly provide promoters, enhancers, and transcription factor binding sites that activate transcription of nearby noncoding sequences. Second, TEs mediate chromosomal rearrangements that bring together previously separated noncoding fragments, creating novel transcriptional units. Third, TE-induced epigenetic modifications can establish new chromatin states conducive to gene expression (Li et al., 2025; Xia et al., 2025). Analysis of rice, maize, and Arabidopsis genomes reveals that approximately 30-40% of recently originated de novo genes show clear associations with TE activity, either through direct sequence contribution or regulatory element donation (Xia et al., 2025). This TE-mediated mechanism appears particularly active during periods of environmental stress or genomic instability, potentially accelerating adaptive evolution through rapid gene innovation.
Molecular features: small, unstable proteins for rapid testing
Plant de novo genes exhibit distinctive molecular signatures that facilitate rapid functional exploration. These genes typically encode remarkably short proteins, often less than 100 amino acids, with high intrinsic disorder content and lacking recognizable conserved domains (Song et al., 2022; Cao et al., 2024; Xia et al., 2025). This structural “permissiveness” appears advantageous rather than detrimental—the abundance of disordered regions allows de novo proteins to escape strict folding constraints that govern canonical proteins, enabling them to act as flexible molecular probes capable of transient interactions and regulatory fine-tuning (Patiou et al., 2025; Xia et al., 2025). Studies in rice, Arabidopsis, and other plants consistently show that de novo proteins have lower intrinsic structural disorder (ISD) values, reduced GC content, and fewer secondary structure elements compared to conserved genes (Song et al., 2022; Cao et al., 2024; Peng and Zhao, 2024; Patiou et al., 2025). These properties enable rapid evolutionary testing of novel biochemical functions while minimizing the risk of misfolding and aggregation, essentially providing plants with a low-cost experimental platform for molecular innovation under selective pressures (Xia et al., 2025).
Expression and selective fate: evidence from population genomics and functional screens
Population genomic data suggest that plant de novo genes exhibit sharply restricted spatiotemporal expression, being chiefly induced during reproductive development or in response to environmental challenges like drought, pathogen exposure, and nutrient deficiency (Cao et al., 2024; Jiang et al., 2025; Xia et al., 2025). Large-scale transcriptomic surveys demonstrate that while most de novo genes display low expression levels compared to conserved genes, they show significant tissue specificity, with enrichment in reproductive tissues, suggesting roles as molecular fine-tuners of adaptive responses (Jin et al., 2021a; Song et al., 2022; Cao et al., 2024). Selection-signature analyses (e.g., dN/dS ratios and population frequency distributions) show that de novo genes follow diverse evolutionary trajectories, with many genes (especially those involved in stress response and reproduction) being subject to positive or balancing selection (Kaessmann, 2010; Song et al., 2022; Cao et al., 2024; Xia et al., 2025). In addition, population studies also find that about 25%-30% of young genes become essential, such that their silencing is lethal (Li et al., 2025). However, many de novo genes are rapidly lost through genetic drift or negative selection, reflecting an ongoing evolutionary “trial-and-error” process (Van Oss and Carvunis, 2019; Xia et al., 2025). Functional validation through knockout experiments and CRISPR screens confirms that some de novo genes provide genuine adaptive advantages, such as the rice OsDR10 conferring pathogen resistance and Arabidopsis AtQQS regulating metabolic networks (Xiao et al., 2009; Tanvir et al., 2022). Nevertheless, distinguishing truly functional de novo genes from transcriptional noise remains challenging, requiring convergent evidence from genomics, transcriptomics, proteomics, and experimental validation.
Methodological innovations: comparative genomics, multi-omics, and integrative frameworks
Recent methodological advances have revolutionized plant de novo gene identification and characterization. Progressive whole-genome alignment tools like Cactus now enable high-confidence synteny-based identification across divergent species, surpassing traditional BLAST-based approaches (Li et al., 2025; Xia et al., 2025). Multi-omics integration combining RNA-seq, Ribo-seq, proteomics, and metabolomics provides convergent evidence for gene functionality, addressing the challenge of distinguishing genuine de novo genes from transcriptional noise (Jin et al., 2021a; Song et al., 2022; Cao et al., 2024). Advanced computational frameworks incorporating deep learning (AlphaFold2) predict protein structures, revealing that some de novo proteins can achieve well-folded conformations despite lacking conserved domains (Li et al., 2025). Weighted gene co-expression network analysis (WGCNA) demonstrates how de novo genes integrate into existing regulatory networks (Jin et al., 2021a; Cao et al., 2024). Population genomics approaches using dN/dS ratios and selection signatures reveal adaptive evolution patterns (Song et al., 2022; Cao et al., 2024). These integrative pipelines, combining phylostratigraphy, expression profiling, and functional validation through CRISPR/Cas9, establish robust standards for de novo gene annotation and functional characterization in plants (Song et al., 2022; Li et al., 2025; Xia et al., 2025).
Challenges and hypotheses: strengths and weaknesses
Despite these advances, several unresolved problems demand attention. First, annotation errors and incomplete genome assemblies (especially widespread in polyploid and repetitive plant genomes) affect the accuracy of gene age assignment and detection sensitivity (Xia et al., 2025). Second, phylostratigraphic approaches can overestimate de novo birth by failing to detect highly divergent homologs, while excessive stringency risks false negatives (Van Oss and Carvunis, 2019; Peng and Zhao, 2024). Third, not all detected ORFs possess biological function; some may reflect pervasive translation “noise,” and distinguishing functional de novo genes from translation byproducts remains technically challenging (Peng and Zhao, 2024; Xia et al., 2025). Misinterpretation is also a concern—identifying a recently fixed gene does not alone imply strong adaptive value, and function must still be established by knockout, phenotyping, or pathway analysis. The standards for de novo gene proof thus continue to shift toward convergence of evidence from genomics, transcriptomics, proteomics, and experimental approaches (Peng and Zhao, 2024).
The “proto-gene continuum” hypothesis, positing a spectrum from spurious ORFs to fully-fledged new genes, finds support in plant datasets: only a fraction of new sequences escape rapid loss, often after acquiring beneficial regulatory context through TE activity or environmental induction (Van Oss and Carvunis, 2019; Xia et al., 2025). Plant studies particularly demonstrate how the noncoding genome acts as a reservoir for rapid trait innovation, especially under strong selection or in adaptive radiations (Zhao et al., 2024; Xia et al., 2025). Importantly, recent research reveals the potential role of epigenetic state and regulatory plasticity in facilitating or constraining de novo gene emergence—topics that are rapidly gaining ground in the literature (Zhao et al., 2024; Li et al., 2025). Nevertheless, the field would benefit from more careful functional dissection, especially for genes found mostly in single accessions or populations. Scientific caution and explicit reporting of uncertainty are crucial to avoid over-attributing functions to recently emerged ORFs.
Discussion
Recent research has clarified the significant contribution of de novo genes to plant evolution and adaptation, although substantial challenges and open questions remain (Cao et al., 2024; Li et al., 2025). Plant genomes, rich in noncoding DNA and transposable elements, are particularly conducive to the emergence of new genes from previously noncoding regions (Tao et al., 2025). Transposable elements (TEs) create new genes through two primary mechanisms. First, they can generate genes from non-coding DNA by providing regulatory elements, like promoters, that activate adjacent sequences, or through the “exonization” of their own sequences. Second, they can modify existing genes. This occurs when a TE’s own gene is “molecularly domesticated” for a novel host function, as with the RAG1 gene (Agrawal et al., 1998), or when TE insertion fuses host genes to create a new chimeric gene. Evidence shows that plant de novo genes often have highly specific expression and are rapidly induced by stress or distinct developmental processes (Zhao et al., 2024; Tóth et al., 2025; Xia et al., 2025), supporting the idea that they constitute a flexible, fast-evolving toolkit that helps plants handle novel environmental challenges. However, interpreting the functional impact of these genes requires caution. While experimental and population genetic studies reveal that some de novo genes can provide adaptive advantages, the majority of candidate de novo genes remain uncharacterized or may even represent evolutionary transient entities. Distinguishing between genuinely functional de novo genes and those which are byproducts of pervasive translation remains an ongoing difficulty. Functional validation through knockout or overexpression studies is still available for only a minority of plant de novo genes (Xia et al., 2025).
Methodologically, the field continues to face significant obstacles, particularly in the annotation and validation of de novo gene candidates. High rates of sequence divergence, polyploidy, and limited genome annotation quality in many plant species can result in both false positives and false negatives when identifying and age-dating de novo genes (Xie et al., 2024; Xia et al., 2025). Recent advances such as deep co-linearity analysis, integrated multi-omics, and large-scale phylogenetic sampling all help to increase confidence, but robust community standards are still needed for declaring bona fide de novo genes (Xia et al., 2025). Despite these hurdles, ongoing research is moving towards a more nuanced view of genome innovation, where the de novo gene birth is not a rare accident, but a recurrent source of biological novelty. As functional genomics tools advance, systematic exploration of de novo gene roles in phenotypic traits, stress responses, and crop improvement will become increasingly feasible. Ultimately, integrating evolutionary, genomic, and ecological perspectives will be essential to fully understand the frequency, impact, and practical utility of de novo genes in plants. Future work should prioritize (1) standardized, multi-tier evidence frameworks reporting the status and confidence of candidate de novo genes, (2) integration of ecological, population, and molecular genetics, and (3) experimentally assessing the impact of de novo gene emergence on plant fitness and adaptation. In this way, plant de novo gene science can provide not only theoretical advances but also practical tools for sustainable agriculture and biological understanding.
Author contributions
ML: Writing – review & editing, Writing – original draft. HW: Writing – original draft, Writing – review & editing. DZ: Writing – original draft, Writing – review & editing. GC: Writing – review & editing, Writing – original draft. YC: Writing – review & editing, Writing – original draft.
Funding
The author(s) declare financial support was received for the research and/or publication of this article. This research was supported by a Guangxi “Bagui Young Talents” Special Fund.
Acknowledgments
Editors thank all the contributing authors in this Research Topic.
Conflict of interest
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Keywords: de novo, mechanisms, methodological, molecular features, multi-omics
Citation: Luo M, Wu H, Zhan D, Chen G and Cao Y (2025) Rethinking de novo genes in plants: mechanisms, methodological progress, and future prospects. Front. Plant Sci. 16:1724832. doi: 10.3389/fpls.2025.1724832
Received: 14 October 2025; Accepted: 29 October 2025;
Published: 17 November 2025.
Edited by:
Lixin Wang, Hebei Agricultural University, ChinaReviewed by:
Hui Ling, Yulin Normal University, ChinaCopyright © 2025 Luo, Wu, Zhan, Chen and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yunpeng Cao, eGZjeXBlbmdAZ3h1LmVkdS5jbg==; Guangcai Chen, MzM1NzEwNTM0QHFxLmNvbQ==