Evidence map›Paper›PMID 33138821›Full record

ArticleMicrobial cell factories2020

Intelligent microbial cell factory with genetic pH shooting (GPS) for cell self-responsive base/acid regulation.

Chenyi Li, Xiaopeng Gao, Xiao Peng, Jinlin Li, Wenxin Bai, Jiadong Zhong, Mengchao He, Ke Xu, Ying Wang, Chun Li

Abstract read
In one paragraph

Article in Microbial cell factories, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Engineering an Optogenetic pH-Modulator in Bacteria.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Practical genetic control strategies for industrial bioprocesses.Journal of industrial microbiology & biotechnology · 2022
    Review
  8. 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

10 authors.

Chenyi LiInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Xiaopeng GaoInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Xiao PengInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Jinlin LiInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Wenxin BaiInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Jiadong ZhongInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Mengchao HeSchool of Life Science, Yan'an University, Shanxi, 716000, People's Republic of China.
Ke XuInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Ying WangInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China. wy2015@bit.edu.cn.
Chun LiInstitute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, People's Republic of China. lichun@bit.edu.cn.ORCID http://orcid.org/0000-0003-4262-6848

Funding

National Key Research and Development Program of China 2018YFA0901800National Key Research and Development Program of China 2019YFA0905700Natural Science Foundation of china 22078020Natural Science Foundation of China 21736002Natural Science Foundation of China 21868038
6 · The paper itself

Abstract

backgroundIn industrial fermentation, pH fluctuation resulted from microbial metabolism influences the strain performance and the final production. The common way to control pH is adding acid or alkali after probe detection, which is not a fine-tuned method and often leads to increased costs and complex downstream processing. Here, we constructed an intelligent pH-sensing and controlling genetic circuits called "Genetic pH Shooting (GPS)" to realize microbial self-regulation of pH.

resultsIn order to achieve the self-regulation of pH, GPS circuits consisting of pH-sensing promoters and acid-/alkali-producing genes were designed and constructed. Designed pH-sensing promoters in the GPS can respond to high or low pHs and generate acidic or alkaline substances, achieving endogenously self-responsive pH adjustments. Base shooting circuit (BSC) and acid shooting circuit (ASC) were constructed and enabled better cell growth under alkaline or acidic conditions, respectively. Furthermore, the genetic circuits including GPS, BSC and ASC were applied to lycopene production with a higher yield without an artificial pH regulation compared with the control under pH values ranging from 5.0 to 9.0. In scale-up fermentations, the lycopene titer in the engineered strain harboring GPS was increased by 137.3% and ammonia usage decreased by 35.6%.

conclusionsThe pH self-regulation achieved through the GPS circuits is helpful to construct intelligent microbial cell factories and reduce the production costs, which would be much useful in industrial applications.

Indexed as

Gene Expression Regulation, BacterialGene Regulatory NetworksAcidsAlkaliesEscherichia coliHydrogen-Ion ConcentrationMetabolic EngineeringPromoter Regions, GeneticAcidsAlkaliesAcid-regulating circuitBase-regulating circuitEscherichia coliGenetic pH regulationMicrobial cell factory

Identifiers

PMID33138821
PMCPMC7607686

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LicenceCC BY
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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.