Evidence map›Paper›PMID 30969383›Full record

ArticleJournal of industrial microbiology & biotechnology2019

Modulating acetate ester and higher alcohol production in Saccharomyces cerevisiae through the cofactor engineering.

Kun-Qiang Hong, Xiao-Meng Fu, Sheng-Sheng Dong, Dong-Guang Xiao, Jian Dong

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. The Characterization of the Purine Nucleoside Phosphorylase fromJournal of fungi (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Article
  4. Production of Esters inMicroorganisms · 2024
    Article
  5. Article
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Kun-Qiang HongKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, No. 29 13th Street, Economic and Technological Development District, Tianjin, 300457, People's Republic of China.
Xiao-Meng FuKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, No. 29 13th Street, Economic and Technological Development District, Tianjin, 300457, People's Republic of China.
Sheng-Sheng DongKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, No. 29 13th Street, Economic and Technological Development District, Tianjin, 300457, People's Republic of China.
Dong-Guang XiaoKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, No. 29 13th Street, Economic and Technological Development District, Tianjin, 300457, People's Republic of China.
Jian DongKey Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Industrial Microbiology Key Laboratory, College of Biotechnology, Tianjin University of Science and Technology, No. 29 13th Street, Economic and Technological Development District, Tianjin, 300457, People's Republic of China. dongjian@tust.edu.cn.
Tianjin University of Science and Technology · CN

Funding

NSAF 21576200NSAF Joint Fund 31671838
6 · The paper itself

Abstract

Flavor production by esters or by higher alcohols play a key role in the sensorial quality of fermented alcoholic beverages. In Saccharomyces cerevisiae cells, the syntheses of esters and higher alcohols are considerably influenced by intracellular CoA levels catalyzed by pantothenate kinase. In this work, we examined the effects of cofactor CoA and acetyl-CoA synthesis on the metabolism of esters and higher alcohols. Strains 12α-BAP2 and 12α+ATF1 where generated by deleting and overexpressing BAP2 (encoded branched-chain amino acid permease) and ATF1 (encoded alcohol acetyl transferases), respectively, in the parent 12α strains. Then, 12α-BAP2+CAB1 and 12α-BAP2+CAB3 strains were obtained by overexpressing CAB1 (encoded pantothenate kinase Cab1) and CAB3 (encoded pantothenate kinase Cab3) in the 12α-BAP2 strain, and 12α-BAP2+CAB1+ATF1 and 12α-BAP2+CAB3+ATF1 were generated by overexpressing ATF1 in the pantothenate kinase overexpression strains. The acetate ester level in 12α-BAP2 was slightly changed relative to that in the control strain 12α, whereas the acetate ester levels in 12α-BAP2+CAB1, 12α-BAP2+CAB3, 12α-BAP2+CAB1+ATF1, and 12α-BAP2+CAB3+ATF1 were distinctly increased (44-118% for ethyl acetate and 18-57% for isoamyl acetate). The levels of n-propanol, methyl-1-butanol, isopentanol, isobutanol, and phenethylol levels were changed and varied among the six engineered strains. The levels of acetate esters and higher alcohols can be modulated by changing the CoA and acetyl-CoA levels. The method proposed in this work supplies a practical means of breeding yeast strains by modulating acetate ester and higher alcohol production.

Indexed as

AcetatesAcetic AcidAcetyl Coenzyme AAlcoholsEstersFermentationSaccharomyces cerevisiaeAcetatesAcetic AcidAcetyl Coenzyme AAlcoholsEstersethyl acetateAcetate esterAcetyl-CoACoACofactor engineeringHigher alcoholsSaccharomyces cerevisiae

Identifiers

PMID30969383
OpenAlexW2939565276

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.