Evidence map›Paper›PMID 36911331›Full record

ReviewFood science and biotechnology2023

Bioinformatics and its role in the study of the evolution and probiotic potential of lactic acid bacteria.

Remilyn M Mendoza, Sang Hoon Kim, Robie Vasquez, In-Chan Hwang, Young-Seo Park, Hyun-Dong Paik, Gi-Seong Moon, Dae-Kyung Kang

Abstract readReview
In one paragraph

Review in Food science and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Investigation of Probiotic Properties ofFood science & nutrition · 2025
    Article
  3. Review
  4. Recombinant Arginine Deiminase fromInternational journal of molecular sciences · 2024
    Article
  5. Article
  6. Unraveling the antimicrobial potential ofFrontiers in microbiology · 2024
    Article
  7. 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

8 authors.

Remilyn M MendozaDepartment of Animal Resources Science, Dankook University, 119 Dandae-ro, Cheonan, 31116 Republic of Korea.ORCID 0000-0003-4937-118X
Sang Hoon KimDepartment of Animal Resources Science, Dankook University, 119 Dandae-ro, Cheonan, 31116 Republic of Korea.
Robie VasquezDepartment of Animal Resources Science, Dankook University, 119 Dandae-ro, Cheonan, 31116 Republic of Korea.ORCID 0000-0002-2878-9125
In-Chan HwangDepartment of Animal Resources Science, Dankook University, 119 Dandae-ro, Cheonan, 31116 Republic of Korea.ORCID 0000-0001-8268-989X
Young-Seo ParkDepartment of Food Science and Biotechnology, Gachon University, Seongnam, 13120 Republic of Korea.
Hyun-Dong PaikDepartment of Food Science and Biotechnology of Animal Resource, Konkuk University, Seoul, 05029 Republic of Korea.
Gi-Seong MoonDivision of Food Science and Biotechnology, Korea National University of Transportation, Jeungpyeong, 27909 Republic of Korea.
Dae-Kyung KangDepartment of Animal Resources Science, Dankook University, 119 Dandae-ro, Cheonan, 31116 Republic of Korea.ORCID 0000-0001-9241-1250

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to their numerous well-established applications in the food industry, there have been many studies regarding the adaptation and evolution of lactic acid bacteria (LAB) in a wide variety of hosts and environments. Progress in sequencing technology and continual decreases in its costs have led to the availability of LAB genome sequence data. Bioinformatics has been central to the extraction of valuable information from these raw genome sequence data. This paper presents the roles of bioinformatics tools and databases in understanding the adaptation and evolution of LAB, as well as the bioinformatics methods used in the initial screening of LAB for probiotic potential. Moreover, the advantages, challenges, and limitations of employing bioinformatics for these purposes are discussed.

Indexed as

Adaptation and evolutionBioinformaticsComparative genomicsLactic acid bacteriaProbiotic screening

Identifiers

PMID36911331
PMCPMC9992694

What Socratic holds

Textmetadata
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 Socratic graph.