Evidence map›Paper›PMID 27241862›Full record

ArticleScientific reports2016

Metagenomic sequencing reveals the relationship between microbiota composition and quality of Chinese Rice Wine.

Xutao Hong, Jing Chen, Lin Liu, Huan Wu, Haiqin Tan, Guangfa Xie, Qian Xu, Huijun Zou, Wenjing Yu, Lan Wang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
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  4. Review
  5. Evaluating the Adjuvant Therapeutic Effects of Probiotic StrainsAnimals : an open access journal from MDPI · 2025
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  8. Effects ofFoods (Basel, Switzerland) · 2025
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  9. Isolation and Evaluation ofFoods (Basel, Switzerland) · 2025
    Article
  10. Gastroenterology research and practice · 2025
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Review
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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

11 authors.

Xutao HongZhejiang-California International Nanosystem Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Jing ChenRealbio Genomics Institute, Shanghai, 200050, China.
Lin LiuState Key Laboratory for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Huan WuRealbio Genomics Institute, Shanghai, 200050, China.
Haiqin TanZhejiang-California International Nanosystem Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Guangfa XieNational Engineering Research Center for Chinese Rice Wine, Zhejiang Guyuelongshan Shaoxing Rice Wine Co.Ltd., Shaoxing, Zhejiang 312000, China.
Qian XuRealbio Genomics Institute, Shanghai, 200050, China.
Huijun ZouNational Engineering Research Center for Chinese Rice Wine, Zhejiang Guyuelongshan Shaoxing Rice Wine Co.Ltd., Shaoxing, Zhejiang 312000, China.
Wenjing YuZhejiang-California International Nanosystem Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Lan WangState Key Laboratory for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Nan QinState Key Laboratory for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.

Funding

Role of Mitochondrial CYP2E1 in Chemical Exposure-Driven NeurodegenerationF32ES027306 · NIEHS · DUKE UNIVERSITY · PI HARTMAN, JESSICA HELENE · 2016 to 2018
$171k
NIEHS NIH HHS 27306C2006
6 · The paper itself

Abstract

Chinese Rice Wine (CRW) is a common alcoholic beverage in China. To investigate the influence of microbial composition on the quality of CRW, high throughput sequencing was performed for 110 wine samples on bacterial 16S rRNA gene and fungal Internal Transcribed Spacer II (ITS2). Bioinformatic analyses demonstrated that the quality of yeast starter and final wine correlated with microbial taxonomic composition, which was exemplified by our finding that wine spoilage resulted from a high proportion of genus Lactobacillus. Subsequently, based on Lactobacillus abundance of an early stage, a model was constructed to predict final wine quality. In addition, three batches of 20 representative wine samples selected from a pool of 110 samples were further analyzed in metagenomics. The results revealed that wine spoilage was due to rapid growth of Lactobacillus brevis at the early stage of fermentation. Gene functional analysis indicated the importance of some pathways such as synthesis of biotin, malolactic fermentation and production of short-chain fatty acid. These results led to a conclusion that metabolisms of microbes influence the wine quality. Thus, nurturing of beneficial microbes and inhibition of undesired ones are both important for the mechanized brewery.

Indexed as

Food MicrobiologyMetagenomeSequence Analysis, DNALactobacillusMicrobiotaWine

Identifiers

PMID27241862
PMCPMC4886530

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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.