Evidence map›Paper›PMID 40593731›Full record

ArticleNPJ biofilms and microbiomes2025

Controlling metabolic stability of food microbiome for stable indigenous liquor fermentation.

Yuwei Tan, Yang Zhu, René H Wijffels, Hongxia Zhang, William T Scott, Yan Xu, Vitor Martins Dos Santos

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. 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
–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

7 citing papers in PubMed.

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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

7 authors.

Yuwei TanLaboratory of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Yang ZhuBioprocess Engineering, Wageningen University and Research, P.O. Box 16, 6700AA, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0003-2133-4520
René H WijffelsBioprocess Engineering, Wageningen University and Research, P.O. Box 16, 6700AA, Wageningen, The Netherlands.
Hongxia ZhangLaboratory of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, Jiangsu, China.
William T ScottLaboratory of Systems and Synthetic Biology, Wageningen University and Research, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-4029-2998
Yan XuLaboratory of Brewing Microbiology and Applied Enzymology, Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, Jiangsu, China. yxu@jiangnan.edu.cn.
Vitor Martins Dos SantosBioprocess Engineering, Wageningen University and Research, P.O. Box 16, 6700AA, Wageningen, The Netherlands. vitor.martinsdossantos@wur.nl.

Funding

China Scholarship Council (CSC) 202006790115National Natural Science Foundation of China (National Science Foundation of China) 32172176National Natural Science Foundation of China (National Science Foundation of China) 32201981Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20201341
6 · The paper itself

Abstract

Steering microbial metabolic stability in fermentation is a recurrent goal in microbial food production. Indigenous liquor fermentation typically relies on complex microbiome metabolism, making it difficult to steer fermentation towards consistent high-quality products. Here, we conducted a three-step experiment to identify instability factors and explore ways to steer fermentation stability in lab-scale settings. We found that the metabolic stability of the microbiome fluctuates due to fermentation parameters, dynamic benefit allocation between yeasts and Lactobacilli, and metabolic network redundancy. In addition to parameters control, short-term metabolic stability requires stable microbial benefit allocation, whereas long-term stability requires proper functional redundancy. Rationally setting initial parameters and the microbial inoculation ratio is a practical way to optimize metabolic stability for stable indigenous liquor fermentation. Our study provides new insights into microbiome metabolism control and shows the feasibility of enhancing fermentation stability through appropriate initial conditions, enabling more controlled and efficient microbial food production systems.

Indexed as

FermentationFood MicrobiologyLactobacillusMicrobiotaYeastsMetabolic Networks and Pathways

Identifiers

PMID40593731
PMCPMC12214495

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.