Evidence map›Paper›PMID 37291367›Full record

ArticleAMB Express2023

Yeast diversity in pit mud and related volatile compounds in fermented grains of chinese strong-flavour liquor.

Yan Shoubao, Yang Jie, Shen TingTing, Guang Jiaquan, Shi Cuie

Open access · goldAbstract read
In one paragraph

Article in AMB Express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  5. Journal of fungi (Basel, Switzerland) · 2024
    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

5 authors at 2 institutions in 1 country.

Yan ShoubaoDepartment of biology and food engineering, Huainan Normal University, Huainan, 230038, China.
Yang JieDepartment of biology and food engineering, Huainan Normal University, Huainan, 230038, China.
Shen TingTingDepartment of biology and food engineering, Huainan Normal University, Huainan, 230038, China.
Guang JiaquanAnhui Yingjia Group Co., Ltd, Luan, 237271, China.
Shi CuieDepartment of biology and food engineering, Huainan Normal University, Huainan, 230038, China. 1176144756@qq.com.
Huainan Normal University · CNShenhua Group (China) · CN

Funding

The innovation team of brewing industry microbial resources of Huainan normal university XJTD202005The Key natural science research projects in Anhui Universities KJ2021A0959The Major natural science research projects of Anhui Universities KJ2021ZD0117
6 · The paper itself

Abstract

Chinese strong-flavour liquor is produced via a traditional solid-state fermentation strategy facilitated by live microorganisms in pit mud-based cellars. For the present analysis, pit mud samples from different spatial locations within fermentation cellars were collected, and the yeast communities therein were assessed via culture-based and denaturing gradient gel electrophoresis (DGGE) approaches. These analyses revealed significant differences in the composition of yeast communities present in different layers of pit mud. In total, 29 different yeast species were detected, and principal component analyses revealed clear differences in microbial diversity in pit mud samples taken from different cellar locations. Culture-dependent strategies similarly detected 20 different yeast species in these samples. However, while Geotrichum silvicola, Torulaspora delbrueckii, Hanseniaspora uvarum, Saturnispora silvae, Issatchenkia orientalis, Candida mucifera, Kazachstania barnettii, Cyberlindnera jadinii, Hanseniaspora spp., Alternaria tenuissima, Cryptococcus laurentii, Metschnikowia spp., and Rhodotorula dairenensis were detected via a PCR-DGGE approach, they were not detectable in culture-dependent analyses. In contrast, culture-based approaches led to the identification of Schizosaccharomyces pombe and Debaryomyces hansenii in these pit mud samples, whereas they were not detected using DGGE fingerprints profiles. An additional HS-SPME-GC-MS-based analysis of the volatile compounds present in fermented grains samples led to the identification of 66 such compounds, with the highest levels of volatile acids, esters, and alcohols being detected in fermented grains from lower layer samples. A canonical correspondence analysis (CCA) suggested they were significant correlations between pit mud yeast communities and associated volatile compounds in fermented grains.

Indexed as

Chinese strong flavour liquorFermentationPit mudVolatile flavor compoundsYeast

Identifiers

PMID37291367
PMCPMC10250287
OpenAlexW4379878469

What OpenQuestion 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 OpenQuestion graph.