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Rapid continuous evolution of gene libraries towards arbitrary functions
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Rapid continuous evolution of gene libraries towards arbitrary functions

Alexander (Olek) Pisera, Alireza Tanoori, Chang C. Liu
May 2025
 ·
bioRxiv
 ·
DOI 
10.1101/2025.03.22.644768
94
%
Reproducible
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This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Evolutionary Biology this quarter.
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Why this is interesting

By evolving entire gene libraries under complex in vivo selection, ORACLE overturns the assumption that directed evolution requires a known starting function, showing that new biological activities—transcription factors, de novo peptides, specific inhibitors—emerge rapidly from any genetic material.

Author perspective

What is the most important insight, discovery, or finding from your paper that you would like other scientists to know?
“

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.

”
Chang Liu

QED claims analysis

Summary

ORACLE enables rapid continuous evolution of diverse, function-agnostic gene libraries in vivo through OrthoRep-mediated hypermutation, demonstrating that genes with no initial activity can evolve complex functions including transcription factor activity, protein-protein interaction inhibition, and metal sequestration within fewer than 100 generations, revealing that new gene functions can emerge from unexpected sources including frameshift-generated de novo peptides, cryptic prophage genes, and potential pseudogenes when exposed to systems-level selective pressures.

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Main Claim 1 –

ORACLE enables in vivo continuous evolution of diverse gene libraries

Supporting evidence

  • ORACLE evolves unexpected bacterial genes to function in yeast
  • ORACLE optimizes known genes for higher activity, lower fitness cost
  • ORACLE drives convergent evolution of lithium tolerance via pyrophosphatases
  • ORACLE evolves inhibitors of human disease proteins like BAX
Main Claim 2 –

Frameshift-generated de novo peptide appendages create new gene functions

Main Claim 3 –

ORACLE evolves transcription factor activity from initially inactive genes

Supporting evidence

  • Evolved protein-protein interactions stabilize targets to create regulatory function
  • ORACLE evolves diverse mechanisms that modulate protein degradation pathways

Abstract

The emergence and evolution of new gene functions is central to biology, yet experimental tools that allow us to prospectively probe and understand this process are lacking. While systems for continuous directed evolution have successfully compressed gene evolution onto laboratory timeframes at scale, past work largely focused on the evolution of single genes towards single functions. In contrast, when nature searches for new gene functions, it does so by exposing a vast repertoire of genes to a multitude of complex selective pressures in vivo, multiplying the possibilities for innovation. To mimic natural gene evolution in laboratory time, we introduce OrthoRep Assisted Continuous Library Evolution (ORACLE). In ORACLE, high-diversity function-agnostic gene libraries (e.g., open reading frames from Saccharomyces cerevisiae and Escherichia coli, cDNA from Arabidopsis thaliana and human cells) are encoded onto OrthoRep’s p1 plasmid in yeast where library members durably mutate up to one-million times faster than the host genome. As a result, ORACLE provides an opportunity to quickly observe the evolutionary emergence and optimization of new gene functions that satisfy complex in vivo selection pressures from an abundance of sources. Using ORACLE, we discovered a wealth of novel gene variants conferring new cellular functions, each experimentally evolved in fewer than ~100 generations corresponding to less than one month of serial passaging. In several cases, genes that initially exhibited little to no observable phenotype rapidly evolved to confer transcription factor activity, chaperone activity, inhibition of specific targets, etc. These findings demonstrate the relative ease with which existing genetic material can enter the view of selection and evolve new function in vivo. Moreover, our work establishes ORACLE as an effective system for exploring the fundamental mechanisms of gene innovation and discovering bespoke biomolecules for diverse applications.

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