Literature DB >> 30166128

Genomic and metatranscriptomic analyses of Weissella koreensis reveal its metabolic and fermentative features during kimchi fermentation.

Sang Eun Jeong1, Byung Hee Chun1, Kyung Hyun Kim1, Dongbin Park1, Seong Woon Roh2, Se Hee Lee3, Che Ok Jeon4.   

Abstract

The genomic and metabolic features of Weissella koreensis, one of the major lactic acid bacteria in kimchi, were investigated through genomic, metabolic, and transcriptomic analyses for the genomes of strains KCTC 3621T, KACC 15510, and WiKim0080. W. koreensis strains were intrinsically vancomycin-resistant and harbored potential hemolysin genes that were actively transcribed although no hemolysin activity was detected. KEGG and reconstructed fermentative metabolic pathways displayed that W. koreensis strains commonly employ the heterolactic pathway to produce d-lactate, ethanol, acetate, CO2, d-sorbitol, thiamine, and folate from various carbohydrates including d-glucose, d-mannose, d-lactose, l-malate, d-xylose, l-arabinose, d-ribose, N-acetyl-glucosamine, and gluconate, and strains KCTC 3621T and WiKim0080 additionally have metabolic pathways of d-galacturonate and d-glucoronate. Phenotypic analyses showed that all strains did not ferment d-galactose, probably due to the lack of d-galactose transporting system, and strains KCTC 3621T and WiKim0080 fermented d-fructose, indicating the presence of d-fructose transporting system. Fermentative features of W. koreensis were investigated through kimchi transcriptional analysis, suggesting that W. koreensis is mainly responsible for kimchi fermentation with the production of various fermentative metabolites during late fermentation period. This was the first study to investigate the genomic and metabolic features of W. koreensis, which may provide better understandings on kimchi fermentation.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fermentative metabolic pathway; Genome; Kimchi fermentation; Lactic acid bacteria; Metatranscriptome; Weissella koreensis

Mesh:

Substances:

Year:  2018        PMID: 30166128     DOI: 10.1016/j.fm.2018.04.003

Source DB:  PubMed          Journal:  Food Microbiol        ISSN: 0740-0020            Impact factor:   5.516


  6 in total

1.  Identification of novel molecular targets for Weissella species-specific real-time PCR based on pangenome analysis.

Authors:  Eiseul Kim; Seung-Min Yang; Ik-Seon Kim; Hae-Yeong Kim
Journal:  Appl Microbiol Biotechnol       Date:  2022-06-08       Impact factor: 4.813

2.  ODFM, an omics data resource from microorganisms associated with fermented foods.

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Journal:  Sci Data       Date:  2021-04-20       Impact factor: 6.444

3.  Pan-Genomic and Transcriptomic Analyses of Marine Pseudoalteromonas agarivorans Hao 2018 Revealed Its Genomic and Metabolic Features.

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Journal:  Mar Drugs       Date:  2022-03-31       Impact factor: 6.085

Review 4.  Weissella: An Emerging Bacterium with Promising Health Benefits.

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Journal:  Probiotics Antimicrob Proteins       Date:  2021-02-09       Impact factor: 4.609

5.  Insights into 6S RNA in lactic acid bacteria (LAB).

Authors:  Pablo Gabriel Cataldo; Paul Klemm; Marietta Thüring; Lucila Saavedra; Elvira Maria Hebert; Roland K Hartmann; Marcus Lechner
Journal:  BMC Genom Data       Date:  2021-09-03

Review 6.  Korean traditional foods as antiviral and respiratory disease prevention and treatments: A detailed review.

Authors:  Gitishree Das; J Basilio Heredia; Maria de Lourdes Pereira; Ericsson Coy-Barrera; Sonia Marlene Rodrigues Oliveira; Erick Paul Gutiérrez-Grijalva; Luis Angel Cabanillas-Bojórquez; Han-Seung Shin; Jayanta Kumar Patra
Journal:  Trends Food Sci Technol       Date:  2021-07-30       Impact factor: 12.563

  6 in total

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