Evidence map›Paper›PMID 30815304›Full record

ArticleFood science and biotechnology2019

Assessment of the microbial diversity of Chinese Tianshan tibicos by single molecule, real-time sequencing technology.

Chenxia Cao, Qiangchuan Hou, Wenyan Hui, Laiyu Kwok, Heping Zhang, Wenyi Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food science and biotechnology, 2019. 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. Article
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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

6 authors.

Chenxia Cao1Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, P. R. China, Inner Mongolia Agricultural University, Hohhot, 010018 People's Republic of China.
Qiangchuan Hou1Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, P. R. China, Inner Mongolia Agricultural University, Hohhot, 010018 People's Republic of China.
Wenyan Hui1Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, P. R. China, Inner Mongolia Agricultural University, Hohhot, 010018 People's Republic of China.
Laiyu Kwok1Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, P. R. China, Inner Mongolia Agricultural University, Hohhot, 010018 People's Republic of China.
Heping Zhang1Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, P. R. China, Inner Mongolia Agricultural University, Hohhot, 010018 People's Republic of China.
Wenyi Zhang1Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, P. R. China, Inner Mongolia Agricultural University, Hohhot, 010018 People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese Tianshan tibico grains were collected from the rural area of Tianshan in Xinjiang province, China. Typical tibico grains are known to consist of polysaccharide matrix that embeds a variety of bacteria and yeasts. These grains are widely used in some rural regions to produce a beneficial sugary beverage that is slightly acidic and contains low level of alcohol. This work aimed to characterize the microbiota composition of Chinese Tianshan tibicos using the single molecule, real-time sequencing technology, which is advantageous in generating long reads. Our results revealed that the microbiota mainly comprised of the bacterial species of

Indexed as

Chinese Tianshan tibicosGuehomyces pullulansLeuconostoc mesenteroidesMicrobial diversityReal-time sequencing technologySingle molecule

Identifiers

PMID30815304
PMCPMC6365348

What OpenQuestion holds

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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.