Omics · study · 2026
Continuous evolution of gene libraries towards arbitrary functions reveals the versatility of biomolecular evolution in vivo
Listed in NCBI GEO
Life relies on constant biomolecular innovation, but the slowness of natural evolution limits our ability to witness new gene functions emerging in real-time.
Description
Consequently, much remains unknown about how – and how easily – functional biomolecules originate and evolve. To address this gap, we encoded diverse gene libraries (e.g., open reading frames from Saccharomyces cerevisiae and Escherichia coli) onto an orthogonal DNA replication (OrthoRep) system and exposed the resulting continuously hypermutating genetic repertoires to a multitude of complex selection pressures in vivo.
This experimental template mimics the “multi-gene, multi-objective” possibility landscape of natural evolution, but at drastically accelerated evolutionary speed. In only ~100 generations (~1 month), populations evolved an abundance of novel gene functions when challenged with diverse pressures including vitamin deficiency, metal toxicity, promoter inactivity, and protein degradation. Notably, several evolved outcomes originated from sequences with no initial effect on fitness, demonstrating both emergence and evolution of biomolecular function.
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Evolved outcomes proved highly potent, typically increasing fitness by several-fold under selection. Evolved genes spanned a range of molecular functions including de novo metal binding, transcription factor activity, and modulation of protein degradation, as supported by biochemical and RNA-seq experiments. Overall, our findings show that novel gene functions can originate with surprising ease in cellular contexts and motivate further continuous evolution experiments that agnostically explore the fertility of sequence space in vivo.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE335nnn/GSE335699 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE335699 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1479263 ncbi.nlm.nih.gov/bioproject/PRJNA1479263 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Saccharomyces cerevisiae
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE335699 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:4932 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |