Evidence map›Paper›PMID 39488710›Full record

ArticleMicrobial cell factories2024

13 C-MFA helps to identify metabolic bottlenecks for improving malic acid production in Myceliophthora thermophila.

Junfeng Jiang, Defei Liu, Jingen Li, Chaoguang Tian, Yingping Zhuang, Jianye Xia

Abstract read
In one paragraph

Article in Microbial cell factories, 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Junfeng JiangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Defei LiuTianjin Institute of Industrial Biotechnology, Chinese Academy of Science, Tianjin, 300308, China.
Jingen LiTianjin Institute of Industrial Biotechnology, Chinese Academy of Science, Tianjin, 300308, China.
Chaoguang TianTianjin Institute of Industrial Biotechnology, Chinese Academy of Science, Tianjin, 300308, China.
Yingping ZhuangState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Jianye XiaState Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, 200237, China. xiajy@tib.cas.cn.

Funding

National Key R&D Program of China 2018YFA0900500Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project TSBICIP-CXRC-033
6 · The paper itself

Abstract

backgroundMyceliophthora thermophila has been engineered as a significant cell factory for malic acid production, yet strategies to further enhance production remain unclear and lack rational guidance.

resultsCompared with the wild-type strain, the high-Malic acid-producing strain M. thermophila JG207 exhibited greater glucose uptake and carbon dioxide evolution rates but lower oxygen uptake rates and biomass yields. Consistent with these phenotypes, the

conclusionsThis work elucidates and validates the key node for achieving high malic acid production in M. thermophila. We propose effective fermentation strategies and genetic modifications for enhancing malic acid production. These findings offer valuable guidance for the rational design of future cell factories aimed at improving malic acid yields.

Indexed as

Carbon IsotopesMalatesMetabolic EngineeringMetabolic Flux AnalysisBiomassCarbon DioxideCitric Acid CycleFermentationGlucoseMetabolic Networks and PathwaysOxygenSordarialesCarbon DioxideCarbon IsotopesGlucoseMalatesmalic acidOxygen13C-MFAMalic acidMetabolomicsMyceliophthora thermophilaNADH

Identifiers

PMID39488710
PMCPMC11531171

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.