A reassessment of positive growth effects of expressed random sequence clones in E. coli suggests direct adaptive functions
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ID: 318914
2026
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Abstract
Abstract De novo gene emergence from non-coding sequences is an important evolutionary mechanism, yet the functional potential of random sequences remains debated. Previous experiments suggested that expression of random sequence clones in Escherichia coli can enhance growth of cells, i.e. they can provide a direct fitness advantage. However, these findings have been questioned, regarding potential confounding effects of the clone mixtures and a possibly negatively acting peptide expressed from the cloning vector. Here we performed controlled competitive growth assays using a defined subset of random sequence clones representing a spectrum of fitness effects. Experiments across multiple conditions, including two different growth cycle durations, induction states, and replicate sets, showed high technical reproducibility and consistent clone-specific growth trajectories for the majority of the clones, but for some also influences of genomic background and experimental conditions. While previous results for vector-derived control constructs could be confirmed, several random sequence clones exhibited higher positive selection coefficients then these vector constructs. These relative effects persisted even when negative clones were excluded, indicating that they are not driven by competition dynamics with negative clones. Our results demonstrate that positive growth effects of random sequence clones cannot be explained by clone mixture and vector artifacts alone. Instead, a subset of random sequences confers genuine fitness advantages comparable to beneficial mutations observed in experimental evolution studies. These findings provide experimental support for the capacity of random sequences to directly generate adaptive effects without the necessity to acquire additional adaptive mutations.
| Reference Key |
openalex_W7166156808
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| Authors | Sven Künzel, Carla Borish, Cornelia Burghardt, Corinna Heidinger, Diethard Tautz |
| Journal | genome biology and evolution |
| Year | 2026 |
| DOI |
10.1093/gbe/evag159
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| URL | |
| Keywords | Keywords not found |
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