Evidence map›Paper›PMID 34442653›Full record

ArticleMicroorganisms2021

Deciphering Bacterial Community Structure, Functional Prediction and Food Safety Assessment in Fermented Fruits Using Next-Generation 16S rRNA Amplicon Sequencing.

Bashir Hussain, Jung-Sheng Chen, Bing-Mu Hsu, I-Tseng Chu, Suprokash Koner, Tsung-Hsien Chen, Jagat Rathod, Michael W Y Chan

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

8 authors.

Bashir HussainDepartment of Biomedical Sciences, National Chung Cheng University, Chiayi 621, Taiwan.
Jung-Sheng ChenDepartment of Medical Research, E-Da Hospital, Kaohsiung 824, Taiwan.ORCID 0000-0003-3187-9479
Bing-Mu HsuDepartment of Earth and Environmental Sciences, National Chung Cheng University, Chiayi 621, Taiwan.ORCID 0000-0002-2988-8408
I-Tseng ChuDepartment of Internal Medicine, Division of Cardiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi 621, Taiwan.
Suprokash KonerDepartment of Biomedical Sciences, National Chung Cheng University, Chiayi 621, Taiwan.
Tsung-Hsien ChenDepartment of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi 621, Taiwan.ORCID 0000-0002-1542-1495
Jagat RathodDepartment of Earth Sciences, National Cheng Kung University, 1st University Road, Tainan 701, Taiwan.
Michael W Y ChanDepartment of Biomedical Sciences, National Chung Cheng University, Chiayi 621, Taiwan.ORCID 0000-0003-1431-322X

Funding

Taiwan Village enzyme Co., Ltd., The Ministry of Science and Technology, Taiwan (MOST ), The Ditmanson Medical Foundation Chia - Yi Christian Hospital, and the Center for Innovative Research on Aging Society (CIRAS) from The Featured Areas Research Center 108-2116-M-194 -005 & 108-2811-M-194 -507,
6 · The paper itself

Abstract

Fermented fruits and vegetables play an important role in safeguarding food security world-wide. Recently, robust sequencing-based microbial community analysis platforms have improved microbial safety assessment. This study aimed to examine the composition of bacteria and evaluate the bacterial safety of fermented fruit products using high-throughput 16S-rRNA metagenomic analysis. The operational taxonomic unit-based taxonomic classification of DNA sequences revealed 53 bacterial genera. However, the amplicon sequencing variant (ASV)-based clustering revealed 43 classifiable bacterial genera. Taxonomic classifications revealed that the abundance of

Indexed as

16S rRNA metagenomicsbacterial diversityfermented fruitsfood safetyfunctional predictionnext-generation sequencingopportunistic pathogens

Identifiers

PMID34442653
PMCPMC8401261

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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.