Evidence map›Paper›PMID 39800796›Full record

ReviewWorld journal of microbiology & biotechnology2025

Synthetic biology meets Aspergillus: engineering strategies for next-generation organic acid production.

Yang Wu, Qian-Hui Xu, Zi-Lei Chen, Lin-Hui Yang, Dong-Sheng Guo

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Yang Wu *School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, 210023, People's Republic of China.
Qian-Hui Xu *School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, 210023, People's Republic of China.
Zi-Lei ChenSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, 210023, People's Republic of China.
Lin-Hui YangSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, 210023, People's Republic of China.
Dong-Sheng GuoSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, 210023, People's Republic of China. guodongs@njnu.edu.cn.

Funding

National Natural Science Foundation of China 22408178
6 · The paper itself

Abstract

Organic acids constitute a vital category of chemical raw materials. They have extensive applications in industries such as polymers, food, and pharmaceuticals. Currently, industrial production predominantly relies on microbial fermentation. Aspergillus, due to its unique metabolic capabilities, has become an important microbial resource for organic acid production. In recent years, there has been a growing emphasis on genetic engineering of Aspergillus to increase its yield of organic acids. This review provides a comprehensive overview of the current advancement and future directions in the application of genetic engineering techniques to enhance organic production in Aspergillus, specifically highlighting achievement in reconstructing metabolic pathways for desired products, eliminating by-products, modifying regulatory pathways, and engineering mycelial morphology. Furthermore, this review also focuses on the strategies and genetic tools applied in Aspergillus, with particular emphasis on the potential applications and challenges of CRISPR-based biosensors in organic acid fermentation. By providing insights into these developments, we aim to offer theoretical guidance and innovative approaches for enhancing the efficiency of Aspergillus strains in industrial organic acid production.

Indexed as

AspergillusMetabolic EngineeringSynthetic BiologyFermentationGenetic EngineeringIndustrial MicrobiologyMetabolic Networks and PathwaysAspergillusGenetic engineeringMetabolic regulationOrganic acids

Identifiers

PMID39800796

What OpenQuestion holds

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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.