Evidence map›Paper›PMID 32995049›Full record

ReviewFood science and biotechnology2020

Molecular typing tools for identifying and characterizing lactic acid bacteria: a review.

Anshul Sharma, Sulhee Lee, Young-Seo Park

Abstract readReview
In one paragraph

Review in Food science and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
  2. Review
  3. Moleculartyping and antibiotic resistance pattern ofIranian journal of microbiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Multilocus sequence typing ofFood science and biotechnology · 2024
    Article
  18. Article
  19. Research progress on the microbiota in bladder cancer tumors.Frontiers in cellular and infection microbiology · 2024
    Review
  20. Viability-PCR for the selective detection ofFrontiers in microbiology · 2024
    Article
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

3 authors.

Anshul SharmaDepartment of Food and Nutrition, Gachon University, Seongnam, 13120 Republic of Korea.
Sulhee LeeResearch Group of Healthcare, Korea Food Research Institute, Wanju, 55365 Republic of Korea.
Young-Seo ParkDepartment of Food Science and Biotechnology, Gachon University, Seongnam, 13120 Republic of Korea.ORCID 0000-0002-9930-4201

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification and classification of beneficial microbes is of the highest significance in food science and related industries. Conventional phenotypic approaches pose many challenges, and they may misidentify a target, limiting their use. Genotyping tools show comparatively better prospects, and they are widely used for distinguishing microorganisms. The techniques already employed in genotyping of lactic acid bacteria (LAB) are slightly different from one another, and each tool has its own advantages and disadvantages. This review paper compiles the comprehensive details of several fingerprinting tools that have been used for identifying and characterizing LAB at the species, sub-species, and strain levels. Notably, most of these approaches are based on restriction digestion, amplification using polymerase chain reaction, and sequencing. Nowadays, DNA sequencing technologies have made considerable progress in terms of cost, throughput, and methodology. A research journey to develop improved versions of generally applicable and economically viable tools for fingerprinting analysis is ongoing globally.

Indexed as

DNAFingerprintingLactic acid bacteriaProbioticsRNATyping

Identifiers

PMID32995049
PMCPMC7492335

What OpenQuestion holds

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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.