Evidence map›Paper›PMID 35643816›Full record

ArticleBiotechnology letters2022

Biosynthesis of valerenic acid by engineered Saccharomyces cerevisiae.

Mengya Zhao, Chuanbo Zhang, Haibin Wang, Shifan He, Wenyu Lu

Abstract read
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In one paragraph

Article in Biotechnology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Mengya Zhao *School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Chuanbo Zhang *School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Haibin Wang *School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Shifan HeSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Wenyu LuSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China. wenyulu@tju.edu.cn.ORCID http://orcid.org/0000-0002-4910-4025
Tianjin University · CN

Funding

Key-Area Research and Development Program of Guangdong Province 2020B0303070002
6 · The paper itself

Abstract

objectiveTo produce valerenic acid (VA) in Saccharomyces cerevisiae by engineering a heterologous synthetic pathway.

resultValerena-4,7(11)-diene synthase (VDS) derived from Valeriana officinalis (valerian) was expressed in S. cerevisiae to generate valerena-4,7(11)-diene as the precursor of VA. By overexpressing the key genes of the mevalonate pathway ERG8, ERG12 and ERG19, and integrating 4 copies of MBP (maltose-binding protein)-VDS-ERG20 gene expression caskets into the genome, the production of valerena-4,7(11)-diene was improved to 75 mg/L. On this basis, the cytochrome P450 monooxygenase LsGAO2 derived from Lactuca sativa was expressed to oxidize valerena-4,7(11)-diene to produce VA, and the most effective VA production strain was used for fermentation. The yield of VA reached 2.8 mg/L in the flask and 6.8 mg/L in a 5-L bioreactor fed glucose.

conclusionsAn S. cerevisiae strain was constructed and optimized to produce VA, but the valerena-4,7(11)-diene oxidation by LsGAO2 is still the rate-limiting step for VA synthesis that needs to be further optimized in future studies.

Indexed as

IndenesSesquiterpenesValerianFermentationMetabolic EngineeringSaccharomyces cerevisiaeIndenesSesquiterpenesvalerenic acidMetabolic engineeringOverexpressionSaccharomyces cerevisiaeValerena-4,7(11)-dieneValerenic acid

Identifiers

PMID35643816
OpenAlexW4282920941

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.