Evidence map›Paper›PMID 28912444›Full record

ArticleScientific reports2017

Pan-genomic and transcriptomic analyses of Leuconostoc mesenteroides provide insights into its genomic and metabolic features and roles in kimchi fermentation.

Byung Hee Chun, Kyung Hyun Kim, Hye Hee Jeon, Se Hee Lee, Che Ok Jeon

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Comparative Effects ofJournal of microbiology and biotechnology · 2026
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  7. Development of the Efficient Electroporation Protocol forInternational journal of molecular sciences · 2025
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  15. Comparative genomic analysis ofFrontiers in microbiology · 2024
    Article
  16. Glycosyltransferases Expression Changes inFoods (Basel, Switzerland) · 2023
    Article
  17. Review
  18. Article
  19. Review
  20. 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

5 authors.

Byung Hee ChunDepartment of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea.
Kyung Hyun KimDepartment of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea.
Hye Hee JeonDepartment of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea.
Se Hee LeeMicrobiology and Functionality Research Group, World Institute of Kimchi, Gwangju, 61755, Republic of Korea. leesehee@wikim.re.kr.
Che Ok JeonDepartment of Life Science, Chung-Ang University, Seoul, 06974, Republic of Korea. cojeon@cau.ac.kr.ORCID 0000-0003-1665-2399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genomic and metabolic features of Leuconostoc (Leu) mesenteroides were investigated through pan-genomic and transcriptomic analyses. Relatedness analysis of 17 Leu. mesenteroides strains available in GenBank based on 16S rRNA gene sequence, average nucleotide identity, in silico DNA-DNA hybridization, molecular phenotype, and core-genome indicated that Leu. mesenteroides has been separated into different phylogenetic lineages. Pan-genome of Leu. mesenteroides strains, consisting of 999 genes in core-genome, 1,432 genes in accessory-genome, and 754 genes in unique genome, and their COG and KEGG analyses showed that Leu. mesenteroides harbors strain-specifically diverse metabolisms, probably representing high evolutionary genome changes. The reconstruction of fermentative metabolic pathways for Leu. mesenteroides strains showed that Leu. mesenteroides produces various metabolites such as lactate, ethanol, acetate, CO

Indexed as

Food MicrobiologyGene Expression ProfilingFermentationGenetic VariationGenotypeLeuconostoc mesenteroidesMetabolic Networks and PathwaysPhylogeny

Identifiers

PMID28912444
PMCPMC5599536

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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.