Evidence map›Paper›PMID 33704531›Full record

ArticleCurrent microbiology2021

Determination of Microbial Diversity and Community Composition in Unfermented and Fermented Washing Rice Water by High-Throughput Sequencing.

Youlin Chen, Haiming Chen, Qiuping Zhong, Yong-Huan Yun, Weijun Chen, Wenxue Chen

Abstract read
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Article in Current microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Youlin ChenCollege of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou, 570228, China.
Haiming ChenCollege of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou, 570228, China.
Qiuping ZhongCollege of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou, 570228, China.
Yong-Huan YunCollege of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou, 570228, China.
Weijun ChenCollege of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou, 570228, China. chenwj@hainanu.edu.cn.
Wenxue ChenCollege of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou, 570228, China. hnchwx@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Washing rice water (WRW) refers to the sewage produced by rice washing in China and other parts of Asia people's daily life. As in the WRW is rich a variety of nutrients, microorganisms are prone to multiply and pollute the environment. In this article, high-throughput sequencing is used to describe the microbial diversity in different fermentation time WRW. The results showed that the sequencing depth effectively covered the microbial species in the samples, and the bacterial community structure in the samples of WRW at different fermentation periods was rich in diversity. Preominant taxa included Proteobacteria (62%), Firmicutes (28%), approximately Cyanobacteria (10%) and Bacteroidetes (0.5%). The core WRW microbiome comprises Trabulsiella, Pseudomonas, Serratia, Lactobacillus, Erwinia, Enterobacter, Clostridium and Acinetobacter, some of which are potential beneficial microbes. The change of microbial community composition with the change of habitat was assessed. It was found that environmental factors had significant influence on the assembly structure of microbial community.

Indexed as

MicrobiotaOryzaChinaHigh-Throughput Nucleotide SequencingHumansWaterWater

Identifiers

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Registered trials

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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.