Evidence map›Paper›PMID 31440213›Full record

ArticleFrontiers in microbiology2019

Accurate and Strict Identification of Probiotic Species Based on Coverage of Whole-Metagenome Shotgun Sequencing Data.

Donghyeok Seol, So Yun Jhang, Hyaekang Kim, Se-Young Kim, Hyo-Sun Kwak, Soon Han Kim, Woojung Lee, Sewook Park, Heebal Kim, Seoae Cho and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Mobile Antimicrobial Resistance Genes in Probiotics.Antibiotics (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Review
  10. Live Bacterial Prophylactics in Modern Poultry.Frontiers in veterinary science · 2020
    Review
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

11 authors.

Donghyeok SeolC&K Genomics, Songpa-gu, South Korea.
So Yun JhangC&K Genomics, Songpa-gu, South Korea.
Hyaekang KimC&K Genomics, Songpa-gu, South Korea.
Se-Young KimR&D Center, CTCBIO, Inc., Hwaseong-si, South Korea.
Hyo-Sun KwakDivision of Microbiology, Ministry of Food and Drug Safety, Cheongju-si, South Korea.
Soon Han KimDivision of Microbiology, Ministry of Food and Drug Safety, Cheongju-si, South Korea.
Woojung LeeDivision of Microbiology, Ministry of Food and Drug Safety, Cheongju-si, South Korea.
Sewook ParkDivision of Microbiology, Ministry of Food and Drug Safety, Cheongju-si, South Korea.
Heebal KimC&K Genomics, Songpa-gu, South Korea.
Seoae ChoC&K Genomics, Songpa-gu, South Korea.
Woori KwakC&K Genomics, Songpa-gu, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the microbes present in probiotic products is an important issue in product quality control and public health. The most common methods used to identify genera containing species that produce lactic acid are matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) and 16S rRNA sequence analysis. However, the high cost of operation, difficulty in distinguishing between similar species, and limitations of the current sequencing technologies have made it difficult to obtain accurate results using these tools. To overcome these problems, a whole-genome shotgun sequencing approach has been developed along with various metagenomic classification tools. Widely used tools include the marker gene and

Indexed as

identificationlactic acid bacteriamapping coveragemetagenomicsNGSprobioticswhole genome shotgun sequencing

Identifiers

PMID31440213
PMCPMC6693478

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.