Evidence map›Paper›PMID 38789612›Full record

ArticleCommunications biology2024

In vitro generation of genetic diversity for directed evolution by error-prone artificial DNA synthesis.

Baowei Wang, Yang Liu, Xuelian Bai, Huijuan Tian, Lina Wang, Miao Feng, Hairong Xia

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Baowei WangDepartment of Strategic and Integrative Research, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China. wangbw@tib.cas.cn.ORCID 0009-0001-5062-6808
Yang LiuNational Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China.
Xuelian BaiNational Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China.
Huijuan TianNational Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China.
Lina WangNational Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China.
Miao FengNational Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China. feng_m@tib.cas.cn.ORCID 0000-0001-8002-5088
Hairong XiaNational Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China.

Funding

China Postdoctoral Science Foundation 2021M693355Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2019181
6 · The paper itself

Abstract

Generating genetic diversity lies at the heart of directed evolution which has been widely used to engineer genetic parts and gene circuits in synthetic biology. With the ever-expanding application of directed evolution, different approaches of generating genetic diversity are required to enrich the traditional toolbox. Here we show in vitro generation of genetic diversity for directed evolution by error-prone artificial DNA synthesis (epADS). This approach comprises a three-step process which incorporates base errors randomly generated during chemical synthesis of oligonucleotides under specific conditions into the target DNA. Through this method, 200 ~ 4000 folds of diversification in fluorescent strength have been achieved in genes encoding fluorescent proteins. EpADS has also been successfully used to diversify regulatory genetic parts, synthetic gene circuits and even increase microbial tolerance to carbenicillin in a short time period. EpADS would be an alternative tool for directed evolution which may have useful applications in synthetic biology.

Indexed as

Directed Molecular EvolutionDNAGenetic VariationEscherichia coliOligonucleotidesSynthetic BiologyDNAOligonucleotides

Identifiers

PMID38789612
PMCPMC11126579

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