Evidence map›Paper›PMID 33138191›Full record

ArticleFoods (Basel, Switzerland)2020

Molecular Characterization of Microbial and Fungal Communities on Dry-Aged Beef of Hanwoo Using Metagenomic Analysis.

Sangdon Ryu, Minhye Shin, Soohyun Cho, Inho Hwang, Younghoon Kim, Sangnam Oh

Abstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  13. Molecules (Basel, Switzerland) · 2021
    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.

Sangdon RyuDepartment of Animal Science and Institute of Milk Genomics, Jeonbuk National University, Jeonju 54896, Korea.
Minhye ShinDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-3649-4570
Soohyun ChoAnimal Products and Utilization Division, National Institute of Animal Science, Rural Development Administration, Wanju 55365, Korea.
Inho HwangDepartment of Animal Science and Institute of Milk Genomics, Jeonbuk National University, Jeonju 54896, Korea.
Younghoon KimDepartment of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-6769-0657
Sangnam OhDepartment of Functional Food and Biotechnology, Jeonju University, Jeonju 55069, Korea.

Funding

National Research Foundation of Korea 2016M3C1B5907057
6 · The paper itself

Abstract

Dry aging has been widely applied for the aging of meat to produce a unique flavor and tenderness of meat. A number of microorganisms are present, forming a community with interactions that affect the meat aging process. However, their comprehensive compositions are still not well understood. In this study, we analyzed longitudinal changes in microbial and fungal communities in dry-aged beef using a metagenomic platform. 16S rRNA sequencing revealed that dry aging led to an increase in bacterial diversity, and Actinobacteria and Firmicutes, which are mostly lactic acid bacteria, were dominant on dry-aged beef. However, prolonged dry aging reduced the diversity of lactic acid bacteria. Sequencing of the internal transcribed spacer (ITS) region showed that fungal diversity was reduced by aging and that

Indexed as

dry aginglactic acid bacteriamicrobiomemycobiome

Identifiers

PMID33138191
PMCPMC7693710

What OpenQuestion holds

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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.