2022
DOI: 10.1016/j.cofs.2022.100845
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Demystification of fermented foods by omics technologies

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Cited by 19 publications
(10 citation statements)
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“…Furthermore, in the regional categorization of CQT ganjang, the confidence ellipses absolutely overlapped for regions ( Figure S1 ), indicating that discrimination by province was not possible. In many cases, traditional fermented foods are known to be closely tied to regional features, reflecting the local geography, climate, available ingredients, and microbial communities present in the surrounding environment [ 62 , 63 ]. However, the composition and characteristics of the CQT ganjang samples used in this study might be far more influenced by individual ganjang producers than by regions.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, in the regional categorization of CQT ganjang, the confidence ellipses absolutely overlapped for regions ( Figure S1 ), indicating that discrimination by province was not possible. In many cases, traditional fermented foods are known to be closely tied to regional features, reflecting the local geography, climate, available ingredients, and microbial communities present in the surrounding environment [ 62 , 63 ]. However, the composition and characteristics of the CQT ganjang samples used in this study might be far more influenced by individual ganjang producers than by regions.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the use of PMA in viability-based metagenomics needs to be further standardised. Live, metabolically active microbes in a sample can also be selected for and characterised using methods such as metatranscriptomics and metaproteomics where only mRNA or actively-expressed proteins, respectively, are sequenced [ 53 , 56 , 58 ]. Both metatranscriptomics and metaproteomics have been useful in understanding fermentation microbiomes and the interactions within its communities [ 59 , 60 , 61 ].…”
Section: Differentiating Between Live and Dead Bacteriamentioning
confidence: 99%
“…However, these methods have limitations in their discriminatory power, particularly at the genus and species levels for certain microbial clades (Bouchiat et al., 2022). In contrast, metagenomic sequencing provides a comprehensive approach to identify the diverse microorganisms present in a sample and explore the functional diversity of microbial communities (Bouchiat et al., 2022; Chen, 2022). Nevertheless, the analysis of omics data, which involves vast amounts of information, requires meticulous data processing.…”
Section: Introductionmentioning
confidence: 99%