Evidence map›Paper›PMID 38858530›Full record

ArticleNature chemical biology2024

Optimizing multicopy chromosomal integration for stable high-performing strains.

Fei Du, Zijia Li, Xin Li, Duoduo Zhang, Feng Zhang, Zixu Zhang, Yingshuang Xu, Jin Tang, Yongqian Li, Xingxu Huang and 3 more

Abstract read
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In one paragraph

Article in Nature chemical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Transposon engineering ofEngineering in life sciences · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. 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

13 authors.

Fei Du *School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Zijia Li *School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Xin LiSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Duoduo ZhangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Feng ZhangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Zixu ZhangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Yingshuang XuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Jin TangResearch Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, China.ORCID http://orcid.org/0009-0004-7474-5109
Yongqian LiResearch Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, China.ORCID http://orcid.org/0009-0005-7342-7456
Xingxu HuangResearch Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, China.ORCID http://orcid.org/0000-0001-8934-1247
Yang GuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Xiaoman SunSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China. xiaomansun@njnu.edu.cn.ORCID http://orcid.org/0000-0002-6268-4546
He HuangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China. huangh@njnu.edu.cn.ORCID http://orcid.org/0000-0002-6833-9815

Funding

National Natural Science Foundation of China (National Science Foundation of China) No. 22038007National Natural Science Foundation of China (National Science Foundation of China) No. 22378209Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) No. Bk20230059
6 · The paper itself

Abstract

The copy number of genes in chromosomes can be modified by chromosomal integration to construct efficient microbial cell factories but the resulting genetic systems are prone to failure or instability from triggering homologous recombination in repetitive DNA sequences. Finding the optimal copy number of each gene in a pathway is also time and labor intensive. To overcome these challenges, we applied a multiple nonrepetitive coding sequence calculator that generates sets of coding DNA sequence (CDS) variants. A machine learning method was developed to calculate the optimal copy number combination of genes in a pathway. We obtained an engineered Yarrowia lipolytica strain for eicosapentaenoic acid biosynthesis in 6 months, producing the highest titer of 27.5 g l

Indexed as

Escherichia coliSaccharomyces cerevisiaeYarrowiaChromosomes, FungalGene DosageGenetic EngineeringLycopeneMachine LearningLycopene

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.