Evidence map›Paper›PMID 32397488›Full record

ArticleFoods (Basel, Switzerland)2020

High-Throughput 16S rRNA Gene Sequencing of Butter Microbiota Reveals a Variety of Opportunistic Pathogens.

Mikhail Y Syromyatnikov, Anastasia V Kokina, Sergey A Solodskikh, Anna V Panevina, Evgeny S Popov, Vasily N Popov

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Mikhail Y SyromyatnikovDepartment of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia.
Anastasia V KokinaDepartment of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia.
Sergey A SolodskikhDepartment of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia.
Anna V PanevinaDepartment of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia.
Evgeny S PopovDepartment of Service and Restaurant Business, Voronezh State University of Engineering Technologies, 394036 Voronezh, Russia.
Vasily N PopovDepartment of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia.
Voronezh State University of Engineering Technologies · RUVoronezh State University · RU

Funding

Russian Science Foundation 19-76-10023
6 · The paper itself

Abstract

Microbial contamination of dairy products with a high fat content (e.g., butter) has been studied insufficiently. No studies using modern molecular methods to investigate microbial communities in butter have been conducted so far. In this work, we used high-throughput sequencing and Sanger sequencing of individual bacterial colonies to analyze microbial content of commercially available butter brands. A total of 21 samples of commercially available butter brands were analyzed. We identified a total of 94 amplicon sequence variants corresponding to different microbial taxa. The most abundant lactic acid bacteria in butter were

Indexed as

butterhigh-throughput sequencinglactic acid bacteriamicrobiotaopportunistic bacteriaSanger sequencing

Identifiers

PMID32397488
PMCPMC7278763
OpenAlexW3021542980

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.