Evidence map›Paper›PMID 42133150›Full record

ArticleAMB Express2026

Analysis and application of microbiota in fermentation pit muds used for Chinese strong-flavor liquor production.

Hong Dong, Qingyi Fu, Qingyang Wan, Bin Li, Wanxiang Zhang, Xunduan Huang, Xingjie Chen, Laoji Yang, Bing Peng, Guopai Xie and 3 more

Abstract read
In one paragraph

Article in AMB Express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Hong Dong *School of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China.
Qingyi Fu *School of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China.
Qingyang WanSchool of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China.
Bin LiSchool of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China.
Wanxiang ZhangSchool of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China.
Xunduan HuangSchool of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China.
Xingjie ChenGolden Seed Winery Co., Ltd., Fuyang, 236023, China.
Laoji YangGolden Seed Winery Co., Ltd., Fuyang, 236023, China.
Bing PengGolden Seed Winery Co., Ltd., Fuyang, 236023, China.
Guopai XieGolden Seed Winery Co., Ltd., Fuyang, 236023, China.
Hongwen YangGolden Seed Winery Co., Ltd., Fuyang, 236023, China.
Buchang ZhangSchool of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China.
Yansheng WangSchool of Life Sciences and Medical Engineering, Anhui University, Hefei, 230601, China. wangyansheng@ahu.edu.cn.

Funding

Anhui Provincial Natural Science Foundation 1708085QC49Golden Seed Winery Co. Ltd in Anhui Province of China Y06099204the Initial Foundation of Doctoral Scientific Research in Anhui University J01001935the National Natural Science Foundation of China 31600064
6 · The paper itself

Abstract

Chinese strong-flavor liquor (CSFL), the primary type of Chinese liquor in terms of both production and sales, is produced through complex fermentation in pits covered with fermentation pit mud (FPM). FPM, which contains complex microbiota, is crucial for the quality of CSFL. Therefore, monitoring the quality of FPM and acquiring high-quality FPM are important for CSFL manufacturers. However, this requires further study because the relationship between the microbiota and FPM quality remains largely unclear. In this study, high- and low-quality FPM samples were selected based on two-year production data, and the microbiota were sequenced with the HiSeq2500 PE250 platform. Compared with low-quality FPMs, high-quality FPMs exhibited more similar microbiota, and a higher abundance of Euryarchaeota and Firmicutes. Furthermore, the relative abundance of five abundant genera including Methanobacterium, Methanosaeta, Clostridium, Syntrophomonas and Aminobacterium, were positively correlated with the quality of FPM and could construct a synergistic network helpful for inhabiting FPM and improving the quality of CSFL. At the species level, the abundance of Clostridium kluyveri and the new biomarker Syntrophomonas wolfei increased in high-quality FPMs and could be rapidly detected using polymerase chain reaction (PCR). By applying functional microbes and knowledge of the microbial ecosystem, artificial FPM was successfully incubated within 50 days, and the yield of high-quality CSFL had an increase of 43.72% compared to that produced with mature FPM. This study provides new insights into further understanding of the microbial ecosystem of FPM and will be useful for producing artificial FPM, as well as for monitoring and improving the quality of FPM used for CSFL production.

Indexed as

Artificial FPMBiomarkerChinese strong-flavor liquor (CSFL)C. kluyveriFermentation pit mud (FPM)Microbial ecosystemS. wolfei

Identifiers

PMID42133150
PMCPMC13341992

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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.