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The Application of Metagenomics to Study Microbial Communities and Develop Desirable Traits in Fermented Foods.

作者信息

Srinivas Meghana, O'Sullivan Orla, Cotter Paul D, Sinderen Douwe van, Kenny John G

机构信息

Food Biosciences Department, Teagasc Food Research Centre, Moorepark, P61 C996 Cork, Ireland.

APC Microbiome Ireland, University College Cork, T12 CY82 Cork, Ireland.

出版信息

Foods. 2022 Oct 21;11(20):3297. doi: 10.3390/foods11203297.


DOI:10.3390/foods11203297
PMID:37431045
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9601669/
Abstract

The microbial communities present within fermented foods are diverse and dynamic, producing a variety of metabolites responsible for the fermentation processes, imparting characteristic organoleptic qualities and health-promoting traits, and maintaining microbiological safety of fermented foods. In this context, it is crucial to study these microbial communities to characterise fermented foods and the production processes involved. High Throughput Sequencing (HTS)-based methods such as metagenomics enable microbial community studies through amplicon and shotgun sequencing approaches. As the field constantly develops, sequencing technologies are becoming more accessible, affordable and accurate with a further shift from short read to long read sequencing being observed. Metagenomics is enjoying wide-spread application in fermented food studies and in recent years is also being employed in concert with synthetic biology techniques to help tackle problems with the large amounts of waste generated in the food sector. This review presents an introduction to current sequencing technologies and the benefits of their application in fermented foods.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d84/9601669/3fb8d72ac3c0/foods-11-03297-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d84/9601669/0749dfca8f07/foods-11-03297-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d84/9601669/3fb8d72ac3c0/foods-11-03297-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d84/9601669/0749dfca8f07/foods-11-03297-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d84/9601669/3fb8d72ac3c0/foods-11-03297-g002.jpg

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本文引用的文献

[1]
Meta-analysis of cheese microbiomes highlights contributions to multiple aspects of quality.

Nat Food. 2020-8

[2]
Evaluation of taxonomic classification and profiling methods for long-read shotgun metagenomic sequencing datasets.

BMC Bioinformatics. 2022-12-13

[3]
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance.

Comput Struct Biotechnol J. 2022-9-26

[4]
New insights of bacterial communities in fermented vegetables from shotgun metagenomics and identification of antibiotic resistance genes and probiotic bacteria.

Food Res Int. 2022-7

[5]
Opportunities in the microbial valorization of sugar industrial organic waste to biodegradable smart food packaging materials.

Int J Food Microbiol. 2022-9-16

[6]
A comparison of six DNA extraction protocols for 16S, ITS and shotgun metagenomic sequencing of microbial communities.

Biotechniques. 2022-6

[7]
How Microbiome Composition Correlates with Biochemical Changes during Sauerkraut Fermentation: a Focus on Neglected Bacterial Players and Functionalities.

Microbiol Spectr. 2022-8-31

[8]
Potential Use of Microbial Community Genomes in Various Dimensions of Agriculture Productivity and Its Management: A Review.

Front Microbiol. 2022-5-17

[9]
Metagenomics Reveals the Diversity and Taxonomy of Carbohydrate-Active Enzymes and Antibiotic Resistance Genes in Suancai Bacterial Communities.

Genes (Basel). 2022-4-27

[10]
Recovering metagenome-assembled genomes from shotgun metagenomic sequencing data: Methods, applications, challenges, and opportunities.

Microbiol Res. 2022-7

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