Continuous Evolution System Based on Toxin–Antitoxin System Combined with Base Deaminase Accelerates the In Vivo Modification of Target Proteins

ABSTRACT To overcome the labor‐intensive nature of traditional directed evolution, the promoted Escherichia coli ‐assisted continuous evolution (PEACE) system has been developed. PEACE 1.0 employs a cytidine deaminase‑T7 RNA polymerase (T7 RNAP) fusion for targeted mutagenesis and integrates a toxin–antitoxin selection module for spontaneous, growth‑coupled enrichment of evolved variants. Through dual optimization of mutagenesis and selection, PEACE 2.0 achieves an average mutation frequency of 3.49 × 10 −3 per base pair within a 60‑h cycle (compared to 1.54 × 10 −3 in 120 h for PEACE 1.0), while shortening the cycle reduces host background mutation accumulation. A dual‑factor (growth‑fluorescence) selection/screening mechanism eliminates a 12%–20% absolute fraction of undesired non‑specific survivors, and coupling with fluorescence‑activated cell sorting enables ultrahigh‑throughput screening exceeding 10 6 variants per day. PEACE rapidly evolves T7 RNAP to recognize non‑canonical promoters and efficiently reprograms the transcription factor PsiR from a d ‑psicose inducer to a d ‑fructose/ d ‑mannose repressor, establishing a novel regulatory mode. These results demonstrate that PEACE is an efficient, versatile, and robust platform for in vivo continuous evolution with broad potential in protein engineering.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-08-20
DOI
https://doi.org/10.1002/advs.76924
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Continuous Evolution System Based on Toxin–Antitoxin System Combined with Base Deaminase Accelerates the In Vivo Modification of Target Proteins

Zhanzhi Liu, Deming Rao, Xiaoqian Chen, Ying Xu et al.
Advanced Science
CRISPR and Genetic Engineering
article

Continuous Evolution System Based on Toxin–Antitoxin System Combined with Base Deaminase Accelerates the In Vivo Modification of Target Proteins

Zhanzhi Liu, Deming Rao, Xiaoqian Chen, Ying Xu, Zhigang Li, Guangzhen Zhou, Jing Wu, Yan Huang, Sheng Wang, Mingjing Sun, Xinyu Zhang
article en

Abstract

ABSTRACT To overcome the labor‐intensive nature of traditional directed evolution, the promoted Escherichia coli ‐assisted continuous evolution (PEACE) system has been developed. PEACE 1.0 employs a cytidine deaminase‑T7 RNA polymerase (T7 RNAP) fusion for targeted mutagenesis and integrates a toxin–antitoxin selection module for spontaneous, growth‑coupled enrichment of evolved variants. Through dual optimization of mutagenesis and selection, PEACE 2.0 achieves an average mutation frequency of 3.49 × 10 −3 per base pair within a 60‑h cycle (compared to 1.54 × 10 −3 in 120 h for PEACE 1.0), while shortening the cycle reduces host background mutation accumulation. A dual‑factor (growth‑fluorescence) selection/screening mechanism eliminates a 12%–20% absolute fraction of undesired non‑specific survivors, and coupling with fluorescence‑activated cell sorting enables ultrahigh‑throughput screening exceeding 10 6 variants per day. PEACE rapidly evolves T7 RNAP to recognize non‑canonical promoters and efficiently reprograms the transcription factor PsiR from a d ‑psicose inducer to a d ‑fructose/ d ‑mannose repressor, establishing a novel regulatory mode. These results demonstrate that PEACE is an efficient, versatile, and robust platform for in vivo continuous evolution with broad potential in protein engineering.

Advanced Science
Jiangnan University (CN), State Key Laboratory of Food Science and Technology (CN)
National Natural Science Foundation of China, Jiangsu Provincial Key Research and Development Program
Decent work and economic growth
Openalex Percentile: Top 16%
CRISPR and Genetic Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.