Evidence map›Paper›PMID 39580364›Full record

ArticleJournal of industrial microbiology & biotechnology2024

Enhancing the erythritol production of Yarrowia lipolytica by high-throughput screening based on highly sensitive artificial sensor and anchor protein cwp2.

Quan Cui, Hui Liu, Chuanzhuang Guo, Jianbin Wang, Yuehan Liu, Yaqi Zhao, Ruiming Wang, Piwu Li, Ting Wang, Junqing Wang and 1 more

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

11 authors.

Quan CuiSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.
Hui LiuSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.
Chuanzhuang GuoDongxiao Biotechnology Co., Ltd., Zhucheng 262200, People's Republic of China.
Jianbin WangDongxiao Biotechnology Co., Ltd., Zhucheng 262200, People's Republic of China.
Yuehan LiuSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.
Yaqi ZhaoSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.
Ruiming WangSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.
Piwu LiSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.
Ting WangSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.
Junqing WangSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.ORCID 0000-0001-9862-2366
Nan LiSchool of Bioengineering, Qilu University of Technology, Jinan 250353, People's Republic of China.

Funding

Key Technology Research and Development Program of Shandong 2021ZDSYS10Taishan Scholar Foundation of Shandong Province tscx202306067
6 · The paper itself

Abstract

Yarrowia lipolytica is widely used for the industrial production of the natural sweetener erythritol. Despite improvements in fermentation process control and metabolic pathway regulation, bottlenecks still exist in terms of yield and screening technology. Therefore, we constructed an artificial sensor system for effective erythritol detection, established a single-cell droplet-based high-throughput screening system based on fluorescence-activated cell sorting, and obtained Y. lipolytica with improved erythritol production through mutagenesis and high-throughput screening. We used a droplet generator to co-cultivate Y. lipolytica 5-14 with Escherichia coli and used the E. coli fluorescent signal to detect the concentration of erythritol synthesized by Y. lipolytica 5-14 for high-throughput screening. Strains were subjected to UV mutagenesis for 120 s. Under optimized fermentation conditions using Y. lipolytica mutants in 96-well plates, the screening efficiency reached 16.7%. Yarrowia lipolytica 5-14-E6 showed a 21% increase in erythritol to 109.84 g/L. After fermentation at 30°C in a 100-m3 fermenter for 75 hr, the mutant Y. lipolytica 5-14-E6 erythritol yield reached 178 g/L. ONE-SENTENCE SUMMARY: In this study, we constructed an artificial sensor system for effective erythritol detection, established a single-cell droplet-based high-throughput screening system based on fluorescence-activated cell sorting, and induced and screened mutant strains of Yarrowia lipolytica with improved erythritol production through mutagenesis and high-throughput screening.

Indexed as

ErythritolFermentationHigh-Throughput Screening AssaysYarrowiaEscherichia coliFlow CytometryFungal ProteinsMetabolic EngineeringMutagenesisErythritolFungal ProteinsBiosensorErythritol productionHigh-throughput screeningUV mutagenesisYarrowia lipolytica

Identifiers

PMID39580364
PMCPMC11664186

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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.