Evidence map›Paper›PMID 36581946›Full record

ArticleBiotechnology for biofuels and bioproducts2022

Improving the productivity of malic acid by alleviating oxidative stress during Aspergillus niger fermentation.

Na Wu, Mingyan Xing, Yaru Chen, Chi Zhang, Yingfeng Li, Ping Song, Qing Xu, Hao Liu, He Huang

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Pelletized Growth inJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. The forced activation of asexual conidiation inSynthetic and systems biotechnology · 2024
    Article
  4. Conditional expression of FumA inApplied and environmental microbiology · 2024
    Article
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

9 authors at 2 institutions in 1 country.

Na WuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Mingyan XingSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Yaru ChenSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Chi ZhangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Yingfeng LiSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Ping SongSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
Qing XuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China. xu_qing@njnu.edu.cn.
Hao LiuTianjin Engineering Research Center of Microbial Metabolism and Fermentation Process Control, Tianjin University of Science & Technology, Tianjin, 300457, China.
He HuangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China. huangh@njnu.edu.cn.
Nanjing Normal University · CNTianjin University of Science and Technology · CN

Funding

China Postdoctoral Science Foundation 211100B62103National Natural Science Foundation of China 32200055Natural Science Foundation of Jiangsu Province BK20202002the National Key Research and Development Program of China 2019YFA0904900
6 · The paper itself

Abstract

backgroundAs an attractive platform chemical, malic acid has been commonly used in the food, feed and pharmaceutical field. Microbial fermentation of biobased sources to produce malic acid has attracted great attention because it is sustainable and environment-friendly. However, most studies mainly focus on improving yield and ignore shortening fermentation time. A long fermentation period means high cost, and hinders the industrial applications of microbial fermentation. Stresses, especially oxidative stress generated during fermentation, inhibit microbial growth and production, and prolong fermentation period. Previous studies have shown that polypeptides could effectively relieve stresses, but the underlying mechanisms were poorly understood.

resultsIn this study, polypeptides (especially elastin peptide) addition improves the productivity of malic acid in A. niger, resulting in shortening of fermentation time from 120 to 108 h. Transcriptome and biochemical analyses demonstrated that both antioxidant enzyme-mediated oxidative stress defense system, such as superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX), and nonenzymatic antioxidant system, such as glutathione, were enhanced in the presence of elastin peptide, suggesting elastin peptide relieving oxidative stresses is involved in many pathways. In order to further investigate the relationship between oxidative stress defense and malic acid productivity, we overexpressed three enzymes (Sod1, CAT, Tps1) related to oxidation resistance in A. niger, respectively, and these resulting strains display varying degree of improvement in malic acid productivity. Especially, the strain overexpressing the Sod1 gene achieved a malate titer of 91.85 ± 2.58 g/L in 96 h, corresponding to a productivity of 0.96 g/L/h, which performs better than elastin peptide addition.

conclusionsOur investigation provides an excellent reference for alleviating the stress of the fungal fermentation process and improving fermentation efficiency.

Indexed as

Aspergillus nigerElastin peptideL-Malic acidMetabolic engineeringOxidative stress tolerance

Identifiers

PMID36581946
PMCPMC9801644
OpenAlexW4313331634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.