Evidence map›Paper›PMID 41829143›Full record

ReviewFoods (Basel, Switzerland)2026

Innovative Systems Biology in Baijiu Fermentation: Unveiling Omics Landscapes and Microbial Synergy.

Dandan Song, Lulu Song, Yangli Luo, Juan Chen, Chunlin Zhang, Liang Yang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. 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. Review
  2. 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

6 authors.

Dandan SongSchool of Brewing Engineering, Moutai Institute, Renhuai 564501, China.
Lulu SongSchool of Brewing Engineering, Moutai Institute, Renhuai 564501, China.
Yangli LuoGuizhou Key Laboratory of Microbial Resources Exploration in Fermentation industry, Kweichow Moutai Group, Zunyi 564501, China.
Juan ChenSchool of Food Engineering, Moutai Institute, Renhuai 564501, China.
Chunlin ZhangSchool of Brewing Engineering, Moutai Institute, Renhuai 564501, China.
Liang YangSchool of Brewing Engineering, Moutai Institute, Renhuai 564501, China.ORCID 0000-0002-2025-2067

Funding

Guizhou Provincial Basic Research Program (Natural Science) QianKeHeJiChu- ZD[2025]018Moutai Institute & Guangdong Li'er'an Chemical Group Co., Ltd. XYNJ20240104National Natural Science Foundation of China NSFC 32460269Research Foundation for Scientific Scholars of Moutai Institute mygccrc[2022]011Research Foundation for Scientific Scholars of Moutai Institute mygccrc [2022]013Research Foundation for Scientific Scholars of Moutai Institute mygccrc [2022]026The Science and Technology Innovation Team of Maotai Institute MTXYTD202501
6 · The paper itself

Abstract

The production of Chinese Baijiu relies on the synergistic metabolism of multi-species microbial communities in an open environment. Its intricate microbial succession and flavor formation mechanisms have long been considered complex systems that are difficult to fully deconstruct. Traditional culture-dependent techniques inherently fail to comprehensively capture the actual functional roles and dynamic regulation of "viable but non-culturable" (VBNC) microorganisms within this complex system. In recent years, the rapid advancement of multi-omics technologies has offered a novel perspective for elucidating the underlying fermentation mechanisms of Baijiu. This paper systematically reviews the recent progress in the application of metagenomics, metatranscriptomics, metaproteomics, and metabolomics in Baijiu research. Specific focus is placed on the unique contributions of these tools to resolving microbial community structural diversity, mining key functional genes and enzymes, uncovering microbial stress response mechanisms under environmental fluctuations, identifying phages and spoilage microorganisms, and tracing the metabolic pathways of flavor substances. Furthermore, the pivotal role of multi-omics integration strategies in constructing "microbe-metabolite" regulatory networks is highlighted. Finally, current challenges regarding standardization and data integration are discussed, with an outlook on leveraging omics big data to promote digital monitoring and intelligent brewing in the Baijiu industry.

Indexed as

Chinese Baijiufermentation mechanismflavor metabolismmicrobial communitymulti-omicsstress response

Identifiers

PMID41829143
PMCPMC12984832

What Socratic 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 Socratic graph.